The DOI matches its Crossref record; 83 of the 90 references it cites were found in a registry or an index.
Edge computing for Internet of Things: A survey, e-healthcare case study and future direction
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“For example, OPC-UA has been applied widely for edgeIoT scenarios [210].”
From Federated Learning for Internet of Things: A Comprehensive Survey (2021) · cites this paper as [210]
In the citing paper
“Edge computing can be vital in times like the flu pandemic, where clinicians can monitor patients' vitals from remote areas and devise an action plan.”
From Medical 4.0 technologies for healthcare: Features, capabilities, and applications (2022) · cites this paper as [220]
In the citing paper
“Providing adequate healthcare to distant rural regions has always been difficult [219,220].”
From Medical 4.0 technologies for healthcare: Features, capabilities, and applications (2022) · cites this paper as [220]
In the citing paper
“In healthcare, edge computing is particularly useful in applications that require real-time monitoring and decision making, such as wearable devices for patient monitoring and remote diagnosis and treatment [7,8].”
From Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions (2023) · cites this paper as [7]
Citations
Cites
McKeown (2008) · doi:10.1145/1355734.1355746 · Cited by 8,513
A Survey on Mobile Edge Computing: The Communication Perspective
Mao, Y., You, C., Zhang, J., Huang, K., & Letaief, K. B. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2745201 · Cited by 5,607
An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends
Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017) · 2017 IEEE International Congress on Big Data (BigData Congress) · doi:10.1109/bigdatacongress.2017.85 · Cited by 4,515
The case for vm-based cloudlets in mobile computing
Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.82 · Cited by 3,660
A survey of mobile cloud computing: architecture, applications, and approaches
Dinh, H. T., Lee, C., Niyato, D., & Wang, P. (2013) · Wireless Communications and Mobile Computing · doi:10.1002/wcm.1203 · Cited by 2,391
Fog and IoT: An Overview of Research Opportunities
Chiang, M., & Zhang, T. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2584538 · Cited by 2,362
MAUI: making smartphones last longer with code offload
Cuervo, E., Balasubramanian, A., Cho, D.-K., Wolman, A., Saroiu, S., Chandra, R., & Bahl, P. (2010) · Proceedings of the 8th international conference on Mobile systems, applications, and services · doi:10.1145/1814433.1814441 · Cited by 2,281
(2011) · doi:10.1145/1966445.1966473 · Cited by 1,870
A survey of information-centric networking
Ahlgren, B., Dannewitz, C., Imbrenda, C., Kutscher, D., & Ohlman, B. (2012) · IEEE Communications Magazine · doi:10.1109/mcom.2012.6231276 · Cited by 1,630
Fog Computing: A Platform for Internet of Things and Analytics
Bonomi, F., Milito, R., Natarajan, P., & Zhu, J. (2014) · Studies in Computational Intelligence · doi:10.1007/978-3-319-05029-4_7 · Cited by 1,222
Flagged first, then by citations
7 of the 90 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- El-Sayed, 2018, vol. 6
- 2018, vol. 19
- Ray, 2017, Data analytics: India needs agency for health data, Curr. Sci., 112, 1082
- Ray, 2017, Understanding the Role of Internet of Things Towards Providing Smart e-Healthcare Services, Bio Med. Res., 28, 1604
Cited by
Sorted by citations
Federated Learning for Internet of Things: A Comprehensive Survey
Nguyen, D. C., Ding, M., Pathirana, P. N., Seneviratne, A., Li, J., & Vincent Poor, H. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3075439 · Cited by 1,503
“For example, OPC-UA has been applied widely for edgeIoT scenarios [210].”
Federated Learning for Internet of Things: A Comprehensive Survey
Nguyen, D., Ding, M., Pathirana, P. N., Seneviratne, A., Li, J., & Poor, H. (2021) · Deakin Research Online (Deakin University) · Cited by 889
Pham, Q., Fang, F., Ha, V. N., Piran, M. J., Le, M., Le, L. B., Hwang, W., & Ding, Z. (2020) · IEEE Access · doi:10.1109/access.2020.3001277 · Cited by 887
Himeur, Y., Elnour, M., Fadli, F., Meskin, N., Petri, I., Rezgui, Y., Bensaali, F., & Amira, A. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-022-10286-2 · Cited by 630
A systematic review of IoT in healthcare: Applications, techniques, and trends
Haghi Kashani, M., Madanipour, M., Nikravan, M., Asghari, P., & Mahdipour, E. (2021) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2021.103164 · Cited by 491
Medical 4.0 technologies for healthcare: Features, capabilities, and applications
Haleem, A., Javaid, M., Pratap Singh, R., & Suman, R. (2022) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2022.04.001 · Cited by 468
Machine learning and deep learning approach for medical image analysis: diagnosis to detection
Rana, M., & Bhushan, M. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-14305-w · Cited by 408
Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey
Junaid, S. B., Imam, A. A., Balogun, A. O., Silva, L. C. D., Surakat, Y. A., Kumar, G., Abdulkarim, M., Shuaibu, A. N., Garba, A., Sahalu, Y., et al. (2022) · Healthcare · doi:10.3390/healthcare10101940 · Cited by 398
Rauniyar, A., Hagos, D. H., Jha, D., Håkegård, J. E., Bagci, U., Rawat, D. B., & Vlassov, V. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3329061 · Cited by 315
Reliability in Internet of Things: Current Status and Future Perspectives
Xing, L. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2993216 · Cited by 264
Energy-Efficient Industrial Internet of Things: Overview and Open Issues
Mao, W., Zhao, Z., Chang, Z., Min, G., & Gao, W. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2021.3067026 · Cited by 231
Edge computing: current trends, research challenges and future directions
Carvalho, G., Cabral, B., Pereira, V., & Bernardino, J. (2021) · Computing · doi:10.1007/s00607-020-00896-5 · Cited by 223
TinyML for Ultra-Low Power AI and Large Scale IoT Deployments: A Systematic Review
Schizas, N., Karras, A., Karras, C., & Sioutas, S. (2022) · Future Internet · doi:10.3390/fi14120363 · Cited by 255
Blockchain for Edge of Things: Applications, Opportunities, and Challenges
Gadekallu, T. R., Pham, Q.-V., Nguyen, D. C., Maddikunta, P. K. R., Deepa, N., Prabadevi, B., Pathirana, P. N., Zhao, J., & Hwang, W.-J. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3119639 · Cited by 217
Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review
Nazir, S., Ali, Y., Ullah, N., & García‐Magariño, I. (2019) · Wireless Communications and Mobile Computing · doi:10.1155/2019/5931315 · Cited by 175
Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art
Bongomin, O., Yemane, A., Kembabazi, B., Malanda, C., Mwape, M. C., Mpofu, N. S., & Tigalana, D. (2020) · Journal of Engineering · doi:10.1155/2020/8090521 · Cited by 125
The Role of the Internet of Things in Healthcare: Future Trends and Challenges
Aghdam, Z. N., Rahmani, A. M., & Hosseinzadeh, M. (2020) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2020.105903 · Cited by 153
A comprehensive survey on digital twin for future networks and emerging Internet of Things industry
Hakiri, A., Gokhale, A. S., Yahia, S. B., & Mellouli, N. (2024) · Computer Networks · doi:10.1016/j.comnet.2024.110350 · Cited by 181
Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges
Basir, R., Qaisar, S., Ali, M., Aldwairi, M., Ashraf, M. I., Mahmood, A., & Gidlund, M. (2019) · Sensors · doi:10.3390/s19214807 · Cited by 145
Khan, W., Kumar, T., Zhang, C., Raj, K., Roy, A. M., & Luo, B. (2023) · Big Data and Cognitive Computing · doi:10.3390/bdcc7020097 · Cited by 143
Data Security in Healthcare Industrial Internet of Things With Blockchain
Khan, A. A., Bourouis, S., Kamruzzaman, M. M., Hadjouni, M., Shaikh, Z. A., Laghari, A. A., Elmannai, H., & Dhahbi, S. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3273851 · Cited by 141
Natesha, B. V., & Guddeti, R. M. R. (2021) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102972 · Cited by 126
Edge Intelligence for Data Handling and Predictive Maintenance in IIOT
Hafeez, T., Xu, L., & McArdle, G. (2021) · IEEE Access · doi:10.1109/access.2021.3069137 · Cited by 135
Virtual reality: A survey of enabling technologies and its applications in IoT
Hu, M., Luo, X., Chen, J., Lee, Y. C., Zhou, Y., & Wu, D. (2021) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102970 · Cited by 117
Ray, P. P., Dash, D., & Kumar, N. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.05.029 · Cited by 121
Nguyen, T., Nguyen, H. M., & Gia, T. N. (2024) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2024.103884 · Cited by 127
Healthcare Internet of Things: Security Threats, Challenges, and Future Research Directions
Adil, M., Khan, M. K., Kumar, N., Attique, M., Farouk, A., Guizani, M., & Jin, Z. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3360289 · Cited by 120
Badidi, E. (2023) · Future Internet · doi:10.3390/fi15110370 · Cited by 113
A review of IoT systems to enable independence for the elderly and disabled individuals
Pérez, A. J., Siddiqui, F. A., Zeadally, S., & Lane, D. R. (2022) · Internet of Things · doi:10.1016/j.iot.2022.100653 · Cited by 107
Edge Intelligence: Concepts, Architectures, Applications, and Future Directions
Mendez, J., Bierzynski, K., Cuéllar, M. P., & Morales, D. P. (2022) · ACM Transactions on Embedded Computing Systems · doi:10.1145/3486674 · Cited by 113
Gavrilović, N., & Mishra, A. (2020) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-020-02197-3 · Cited by 96
Towards development of IoT-ML driven healthcare systems: A survey
Sworna, N. S., Islam, A. K. M. M., Shatabda, S., & Islam, S. (2021) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2021.103244 · Cited by 100
Haseeb, K., Din, I. U., Almogren, A., Ahmed, I., & Guizani, M. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.102779 · Cited by 93
Andronie, M., Lăzăroiu, G., Karabolevski, O. L., Ștefănescu, R., Hurloiu, I., Dijmărescu, A., & Dijmărescu, I. (2022) · Electronics · doi:10.3390/electronics12010022 · Cited by 98
An edge-cloud collaborative computing platform for building AIoT applications efficiently
Rong, G., Xu, Y., Tong, X., & Fan, H. (2021) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-021-00250-w · Cited by 89
Manogaran, G., Mumtaz, S., Mavromoustakis, C. X., Pallis, E., & Mastorakis, G. N. (2021) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2021.3058689 · Cited by 79
Adil, M., & Khan, M. K. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.103311 · Cited by 78
Multipurpose medical image watermarking for effective security solutions
Sinhal, R., Sharma, S., Ansari, I. A., & Bajaj, V. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12082-0 · Cited by 66
Integration of federated learning with IoT for smart cities applications, challenges, and solutions
Ghadi, Y. Y., Mazhar, T., Shah, S. F. A., Haq, I., Ahmad, W., Ouahada, K., & Hamam, H. (2023) · PeerJ Computer Science · doi:10.7717/peerj-cs.1657 · Cited by 71
Alsabah, M. Q., Naser, M. A., Albahri, A. S., Albahri, A. S., Alamoodi, A. H., Abdulhussain, S. H., & Alzubaidi, L. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-025-11342-3 · Cited by 92
A survey of privacy-preserving offloading methods in mobile-edge computing
Li, T., He, X., Jiang, S., & Liu, J. (2022) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2022.103395 · Cited by 60
Enabling All In-Edge Deep Learning: A Literature Review
Joshi, P., Hasanuzzaman, M., Thapa, C., Afli, H., & Scully, T. (2023) · IEEE Access · doi:10.1109/access.2023.3234761 · Cited by 67
Avan, A., Azim, A., & Mahmoud, Q. H. (2023) · Electronics · doi:10.3390/electronics12122599 · Cited by 61
Ray, P. P., Dash, D., & De, D. (2019) · Journal of Medical Systems · doi:10.1007/s10916-019-1417-z · Cited by 54
Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review
Ahmad, S. G., Iqbal, T., Javaid, A., Munir, E. U., Kirn, N., Jan, S. U., & Ramzan, N. (2022) · Sensors · doi:10.3390/s22124362 · Cited by 60
Emphasizing privacy and security of edge intelligence with machine learning for healthcare
Rajendran, S., Mathivanan, S. K., Jayagopal, P., Janaki, K. P., B, B. A. M. M., Suganya, P., & Somanathan, M. S. (2021) · International Journal of Intelligent Computing and Cybernetics · doi:10.1108/ijicc-05-2021-0099 · Cited by 49
Rural Healthcare IoT Architecture Based on Low-Energy LoRa
Dimitrievski, A., Filiposka, S., Muñoz, F. J. M., Zdravevski, E., Lameski, P., Pires, I. M., García, N. M., Lousado, J. P., & Trajkovik, V. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18147660 · Cited by 49
Caiazza, C., Giordano, S., Luconi, V., & Vecchio, A. (2022) · Computer Communications · doi:10.1016/j.comcom.2022.07.026 · Cited by 47
Machine learning based multipurpose medical image watermarking
Sinhal, R., & Ansari, I. A. (2023) · Neural Computing and Applications · doi:10.1007/s00521-023-08457-5 · Cited by 48
Sathiya, V., Nagalakshmi, K., JEEVAMALAR, J., Babu, R. A., Karthi, R., Acevedo-Duque, Á., Lavanya, R., & Ramabalan, S. (2023) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2023.101510 · Cited by 53
Federated learning at the edge in Industrial Internet of Things: A review
Kumar, S., Vahabi, M., & Fotouhi, H. (2025) · Sustainable Computing Informatics and Systems · doi:10.1016/j.suscom.2025.101087 · Cited by 64
Vamshi Krishna, B., Reddy, P. C. S., Kumar, K. A., Jagadish, R. M., Sharma, S., Prasad, M. L., Sucharitha, Y., Tayubi, I. A., & Thakur, G. K. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-025-11381-w · Cited by 50
Data Aggregation Mechanisms on the Internet of Things: A Systematic Literature Review
Yousefi, S., Karimipour, H., & Derakhshan, F. (2021) · Internet of Things · doi:10.1016/j.iot.2021.100427 · Cited by 48
Looking at Fog Computing for E-Health through the Lens of Deployment Challenges and Applications
Vilela, P. H., Rodrigues, J. J. P. C., Righi, R. D. R., Kozlov, S. A., & Rodrigues, V. F. (2020) · Sensors · doi:10.3390/s20092553 · Cited by 43
Alnahdi, A., & Toka, L. (2024) · IEEE Access · doi:10.1109/access.2024.3367118 · Cited by 53
Nissar, G., Khan, R. A., Mushtaq, S., Lone, S. A., & Moon, A. H. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-18580-7 · Cited by 42
RetractedNovel MEC Based Approaches for Smart Hospitals to Combat COVID-19 Pandemic
Ranaweera, P. S., Liyanage, M., & Jurcut, A. D. (2020) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2020.3031261 · Cited by 38
Moreira, R., Moreira, L. F. R., Munhoz, P. L. A., Lopes, E. A., & Ruas, R. A. A. (2022) · Internet of Things · doi:10.1016/j.iot.2022.100570 · Cited by 39
Mahbub, M., & Shubair, R. M. (2023) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2023.103726 · Cited by 42
Jayasimhan, A., & Pabitha, P. (2024) · Pattern Recognition · doi:10.1016/j.patcog.2024.110671 · Cited by 38
Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms
Qadir, J., de Abajo, B. S., Khan, A., García-Zapirain, B., Díez, I. D. L. T., & Mahmood, H. (2020) · IEEE Access · doi:10.1109/access.2020.3026938 · Cited by 39
Kim, C., Jeong, H.-G., Park, W., & Kim, D. (2022) · JMIR Medical Informatics · doi:10.2196/38640 · Cited by 35
Humayun, M., Alsirhani, A., Alserhani, F., Shaheen, M., & Alwakid, G. N. (2024) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-024-00602-2 · Cited by 42
When machine learning meets Network Management and Orchestration in Edge-based networking paradigms
Shahraki, A., Ohlenforst, T., & Kreyß, F. (2022) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2022.103558 · Cited by 35
Remaining useful life prediction based on state assessment using edge computing on deep learning
Hsu, H.-Y., Srivastava, G., Wu, H., & Chen, M. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.05.035 · Cited by 35
Connectivity Standards Alliance Matter: State of the art and opportunities
Belli, D., Barsocchi, P., & Palumbo, F. (2023) · Internet of Things · doi:10.1016/j.iot.2023.101005 · Cited by 31
Das, J., Ghosh, S., Mukherjee, A., Ghosh, S. K., & Buyya, R. (2022) · Software Practice and Experience · doi:10.1002/spe.3078 · Cited by 30
Security paradigm for remote health monitoring edge devices in internet of things
Gupta, D., Rani, S., Raza, S., Qureshi, N. M. F., Mansour, R. F., & Ragab, M. (2023) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2022.12.020 · Cited by 29
Optimized Energy Efficient Strategy for Data Reduction Between Edge Devices in Cloud-IoT
Mukherjee, D., Ghosh, S., Pal, S., Akila, D., Jhanjhi, N. Z., Masud, M., & AlZain, M. A. (2022) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2022.023611 · Cited by 29
Analyzing Threats and Attacks in Edge Data Analytics within IoT Environments
Mahadevappa, P., Al-amri, R., Alkawsi, G. A., Alkahtani, A. A., Alghenaim, M. F., & Alsamman, M. (2024) · IoT · doi:10.3390/iot5010007 · Cited by 32
Security and Interoperability Issues with Internet of Things (IoT) in Healthcare Industry: A Survey
Abou-Nassar, E. M., Elkafrawy, P., & El‐Latif, A. A. A. (2021) · Studies in big data · doi:10.1007/978-3-030-85428-7_7 · Cited by 28
Dew-based offline computing architecture for healthcare IoT
Medhi, K., Ahmed, N., & Hussain, M. I. (2021) · ICT Express · doi:10.1016/j.icte.2021.09.005 · Cited by 25
Kiangala, K. S., & Wang, Z. (2021) · Processes · doi:10.3390/pr9112084 · Cited by 25
GFRX: A New Lightweight Block Cipher for Resource-Constrained IoT Nodes
Zhang, X., Tang, S., Li, T., Li, X., & Wang, C. (2023) · Electronics · doi:10.3390/electronics12020405 · Cited by 25
Mutiny! How Does Kubernetes Fail, and What Can We Do About It?
Barletta, M., Cinque, M., Martino, C. D., Kalbarczyk, Z., & Iyer, R. K. (2024) · International Conference on Dependable Systems & Networks/Proceedings · doi:10.1109/dsn58291.2024.00016 · Cited by 24
Non-functional requirements elicitation for edge computing
Gupta, S. (2022) · Internet of Things · doi:10.1016/j.iot.2022.100503 · Cited by 24
Rong, C., Wang, H., Gao, H., Cai, W., Han, W., Zhang, X., Jie, H., Lay-Ekuakille, A., Xu, Y., & Zhao, Z. (2025) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2025.116013 · Cited by 23
Gesture Recognition With Ultrasounds and Edge Computing
Saez, B., Mendez, J., Molina, M., Castillo, E., Cuéllar, M. P., & Morales, D. P. (2021) · IEEE Access · doi:10.1109/access.2021.3064390 · Cited by 22
Real- Time Healthcare Monitoring and Treatment System Based Microcontroller with IoT
Awsaj, M. K., Mashhadany, Y. I. M. A., & Fourati, L. C. (2023) · International Conference on Developments in eSystems Engineering (DeSE) · doi:10.1109/dese58274.2023.10099758 · Cited by 22
Srivastava, A., & Paulus, R. (2022) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.7535 · Cited by 20
Integration of Edge–AI Into IoT–Cloud Architecture for Landslide Monitoring and Prediction
Joshi, A., Agarwal, S., Kanungo, D. P., & Panigrahi, R. K. (2023) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2023.3319671 · Cited by 20
Toward the Internet of Medical Things: Architecture, trends and challenges
Niu, Q., Li, H., Liu, Y., Qin, Z., Zhang, L., Chen, J., & Lv, Z. (2023) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2024028 · Cited by 27
Standalone edge AI-based solution for Tomato diseases detection
Majeed, Y., Ojo, M. O., & Zahid, A. (2024) · Smart Agricultural Technology · doi:10.1016/j.atech.2024.100547 · Cited by 30
Secure Smart Healthcare Framework Using Lightweight DNA Sequence and Chaos for Mobile-Edge Computing
Singh, A. P., Chatterjee, K., Singh, A. K., & Kumar, N. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3219113 · Cited by 19
Robust and Secure Medical Image Watermarking for Edge-Enabled e-Healthcare
Singh, P., Devi, K. J., Thakkar, H. K., Bilal, M., Nayyar, A., & Kwak, D. (2023) · IEEE Access · doi:10.1109/access.2023.3335172 · Cited by 18
Review on Approaches of Federated Modeling in Anomaly-Based Intrusion Detection for IoT Devices
Audi, U. I., Danyaro, K. U., Muazu, A. A., & Maiwada, U. D. (2024) · IEEE Access · doi:10.1109/access.2024.3369915 · Cited by 24
Gougeh, R. A., & Žilić, Ž. (2024) · Sensors · doi:10.3390/s24185939 · Cited by 18
Ray, P. P., Dash, D., & De, D. (2019) · The Journal of Supercomputing · doi:10.1007/s11227-019-03089-w · Cited by 16
An Edge Computing Paradigm for Time-Sensitive Applications
Jain, A., & Jat, D. S. (2020) · World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4) · doi:10.1109/worlds450073.2020.9210325 · Cited by 16
A Patient Management System Using an Edge Computing-Based IoT Pulse Oximeter
Joo, M.-I., Kang, D.-Y., Kang, M. S., & Kim, H. (2024) · Applied Sciences · doi:10.3390/app14010414 · Cited by 16
Healthcare Domain in IoT with Blockchain Based Security- A Researcher's Perspectives
Yogeshwar, A., & Kamalakkannan, S. (2021) · International Conference on Intelligent Computing and Control Systems (ICICCS) · doi:10.1109/iciccs51141.2021.9432198 · Cited by 18
Streaming service provisioning in IoT‐based healthcare: An integrated edge‐cloud perspective
Ray, P. P., Dash, D., & Moustafa, N. (2020) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4109 · Cited by 14
Enhancing Medical Services Through Machine Learning and UAV Technology
Saeed, R. A., Saeed, M. M. A., Ahmed, Z. E., & Hashim, A. H. A. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-0578-2.ch012 · Cited by 15
Wang, B., Zhang, Z., Song, Y., Chen, M., & Liu, D. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3541273 · Cited by 13
Edge computing in IoT for smart healthcare
Yaraziz, M. S., Safa, N. S., & Azad, M. A. (2024) · Journal of Ambient Intelligence and Smart Environments · doi:10.3233/ais-230009 · Cited by 12
TRBFT: An Efficient Blockchain Consensus for Edge-Computing-Enabled IoT Systems
Zheng, J., & Zhang, Y. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3529723 · Cited by 12
MedGini: Gini index based sustainable health monitoring system using dew computing
Karmakar, A., Banerjee, P. S., De, D., Bandyopadhyay, S., & Ghosh, P. (2022) · Medicine in Novel Technology and Devices · doi:10.1016/j.medntd.2022.100145 · Cited by 12
Dwivedi, A., & Pant, R. (2019) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2019.10.001 · Cited by 12
Dynamic cooperative caching strategy for delay-sensitive applications in edge computing environment
Li, C., & Zhang, J. (2020) · The Journal of Supercomputing · doi:10.1007/s11227-020-03191-4 · Cited by 12
Role of artificial intelligence in health monitoring using IoT based wearable sensors: A survey
Shaw, L., & Gohel, H. (2025) · Internet of Things · doi:10.1016/j.iot.2025.101761 · Cited by 11
Metadata
- Authors
- Ray, P. P., Dash, D., & De, D.
- Affiliations
- Sikkim University (IN)
- National Institute of Technology Patna (IN)
- Maulana Abul Kalam Azad University of Technology, West Bengal (IN)
- Corresponding author
- Ray, Partha Pratim
- Venue
- Journal of Network and Computer Applications
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 140
- Pages
- 1-22
- ISSN
- 1084-8045 (ISSN-L)
- OpenAlex
- W2944604407
- Cited by
- 241
- References
- 90
- Citations by year
- 2026: 13 · 2025: 35 · 2024: 40 · 2023: 36 · 2022: 45 · 2021: 39 · 2020: 26 · 2019: 7
- FWCI
- 16.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Network and Computer Applications (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- edge computing, Internet of Things, e-health, smart healthcare, latency reduction, bandwidth reduction, smart sensors, smart cities, testbed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review