Urban planning and building smart cities based on the Internet of Things using Big Data analytics
Integrity signals
Registry
Cites
Statistics
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?
The use and application of AI and AIoT in environmental sustainability, climate change, and smart cities have dramatically increased from 2016 onward.
“The use and application of AI and AIoT in environmental sustainability, climate change, and smart cities have dramatically increased from 2016 onward.”
From Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review (2024) · cites this paper as [139]
Cites
An Information Framework for Creating a Smart City Through Internet of Things
Jin, J., Gubbi, J., Marusic, S., & Palaniswami, M. S. (2014) · IEEE Internet of Things Journal · doi:10.1109/jiot.2013.2296516 · Cited by 1,318 · see citing works
Xia, F., Yang, L. T., Wang, L., & Vinel, A. V. (2012) · International Journal of Communication Systems · doi:10.1002/dac.2417 · Cited by 846 · see citing works
Generation and Analysis of a Large-Scale Urban Vehicular Mobility Dataset
Uppoor, S., Trullols‐Cruces, O., Fiore, M., et al. (2013) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2013.27 · Cited by 333 · see citing works
The Web of Things: A Survey (Invited Paper)
Zeng, D., Guo, S., & Cheng, Z. (2011) · Journal of Communications · doi:10.4304/jcm.6.6.424-438 · Cited by 279 · see citing works
Real-Time Big Data Analytical Architecture for Remote Sensing Application
Rathore, M. M., Paul, A., Ahmad, A., Chen, B.-W., Huang, B., & Ji, W. (2015) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2015.2424683 · Cited by 177 · see citing works
Self-citationLarge-scale urban vehicular mobility for networking research
Uppoor, S., & Fiore, M. (2011) · IEEE Vehicular Networking Conference (VNC) · doi:10.1109/vnc.2011.6117125 · Cited by 167 · see citing works
Kyriazis, D., Varvarigou, T., Rossi, A., White, D., & Cooper, J. (2013) · 2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM) · doi:10.1109/wowmom.2013.6583500 · Cited by 147 · see citing works
TASA: Tag-Free Activity Sensing Using RFID Tag Arrays
Zhang, D., Zhou, J., Guo, M., et al. (2010) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2010.118 · Cited by 139 · see citing works
A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing
Kolozali, Ş., Bermúdez-Edo, M., Puschmann, D., Ganz, F., & Barnaghi, P. M. (2014) · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · doi:10.1109/ithings.2014.39 · Cited by 122 · see citing works
Public Health Impacts of Combustion Emissions in the United Kingdom
Yim, S. H. L., & Barrett, S. R. H. (2012) · Environmental Science & Technology · doi:10.1021/es2040416 · Cited by 109 · see citing works
Ahmad, A., Paul, A., Rathore, M. M., & Chang, H. (2015) · Future Generation Computer Systems · doi:10.1016/j.future.2015.08.004 · Cited by 95 · see citing works
Self-citationOn the instantaneous topology of a large-scale urban vehicular network
Naboulsi, D., & Fiore, M. (2013) · doi:10.1145/2491288.2491312 · Cited by 81 · see citing works
BASA: building mobile Ad-Hoc social networks on top of android
Zhang, D., Zhang, D., Xiong, H., et al. (2014) · IEEE Network · doi:10.1109/mnet.2014.6724100 · Cited by 69 · see citing works
The creation of a ubiquitous consumer wireless world through strategic ITU-T standardization
O'Droma, M. S., & Ганчев, И. (2010) · IEEE Communications Magazine · doi:10.1109/mcom.2010.5594691 · Cited by 64 · see citing works
An efficient divide-and-conquer approach for big data analytics in machine-to-machine communication
Ahmad, A., Paul, A., & Rathore, M. M. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.04.109 · Cited by 55 · see citing works
Self-citationVehicular networks on two Madrid highways
Gramaglia, M., Trullols‐Cruces, O., Naboulsi, D., et al. (2014) · IEEE International Conference on Sensing, Communication, and Networking (SECON) · doi:10.1109/sahcn.2014.6990380 · Cited by 52 · see citing works
Global city making in Singapore: a real estate perspective
Han, S. S. (2005) · Progress in Planning · doi:10.1016/j.progress.2005.01.001 · Cited by 51 · see citing works
Japan's ubiquitous mobile information society
Srivastava, L. (2004) · Info · doi:10.1108/14636690410699781 · Cited by 48 · see citing works
Context reasoning using extended evidence theory in pervasive computing environments
Zhang, D., Guo, M., Zhou, J., et al. (2009) · Future Generation Computer Systems · doi:10.1016/j.future.2009.08.005 · Cited by 48 · see citing works
Layos, D. L. F., & Antonio, L. (2007) · Cited by 13 · see citing works
Pigot, H. (2005) · IOS Press eBooks · Cited by 7 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Abioye, S. O., Oyedele, L. O., Akanbi, L., Ajayi, A., Davila Delgado, J. M., Bilal, M., Akinade, O. O., & Ahmed, A. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.103299 · Cited by 1,015 · see citing works
The role of big data analytics in Internet of Things
Ahmed, E., Yaqoob, I., Hashem, I. A. T., Khan, I., Ahmed, A. I. A., Imran, M., & Vasilakos, A. V. (2017) · Computer Networks · doi:10.1016/j.comnet.2017.06.013 · Cited by 629 · see citing works
Survey on blockchain for Internet of Things
Wang, X., Zha, X., Ni, W., Liu, R. P., Guo, Y. J., Niu, X., & Zheng, K. (2019) · Computer Communications · doi:10.1016/j.comcom.2019.01.006 · Cited by 567 · see citing works
Bibri, S. E., Krogstie, J., Kaboli, A., & Alahi, A. (2024) · Environmental Science and Ecotechnology · doi:10.1016/j.ese.2023.100330 · Cited by 536 · see citing works
Verma, S., Kawamoto, Y., Fadlullah, Z. M., Nishiyama, H., & Kato, N. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2694469 · Cited by 422 · see citing works
Kim, H., Choi, H., Kang, H., An, J., Yeom, S., & Hong, T. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.110755 · Cited by 367 · see citing works
Atitallah, S. B., Driss, M., Boulila, W., & Ghézala, H. B. (2020) · Computer Science Review · doi:10.1016/j.cosrev.2020.100303 · Cited by 375 · see citing works
Smart cities, big data and urban policy: Towards urban analytics for the long run
Kandt, J., & Batty, M. (2021) · Cities · doi:10.1016/j.cities.2020.102992 · Cited by 332 · see citing works
Bibri, S. E., Alexandre, A., Sharifi, A., & Krogstie, J. (2023) · Energy Informatics · doi:10.1186/s42162-023-00259-2 · Cited by 299 · see citing works
Integrating solutions to adapt cities for climate change
Lin, B. B., Ossola, A., Alberti, M., Andersson, E., Bai, X., Dobbs, C., Elmqvist, T., Evans, K. L., Frantzeskaki, N., Fuller, R. A., et al. (2021) · The Lancet Planetary Health · doi:10.1016/s2542-5196(21)00135-2 · Cited by 172 · see citing works
Implementing Data-Driven Smart City Applications for Future Cities
Kaluarachchi, Y. (2022) · Smart Cities · doi:10.3390/smartcities5020025 · Cited by 169 · see citing works
Smart Home and Internet of Things: A Bibliometric Study
Choi, W., Kim, J., Lee, S., & Park, E. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.126908 · Cited by 142 · see citing works
Fog-assisted personalized healthcare-support system for remote patients with diabetes
Devarajan, M., Subramaniyaswamy, V., Vijayakumar, V., & Ravi, L. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-019-01291-5 · Cited by 105 · see citing works
Providing End-to-End Security Using Quantum Walks in IoT Networks
El-Latif, A. A. A., Abd-El-Atty, B., Venegas-Andraca, S. E., Elwahsh, H., Piran, M. J., Bashir, A. K., Song, O.-Y., & Mazurczyk, W. (2020) · IEEE Access · doi:10.1109/access.2020.2992820 · Cited by 89 · see citing works
Habibzadeh, H., Boggio-Dandry, A., Qin, Z., Soyata, T., Kantarci, B., & Mouftah, H. T. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700304 · Cited by 64 · see citing works
- Authors
- Rathore, M. M., Ahmad, A., Paul, A., & Rho, S.
- Affiliations
- Kyungpook National University (KR)
- Sungkyul University (KR)
- Corresponding author
- Paul, Anand
- Venue
- Computer Networks
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 101
- Pages
- 63-80
- ISSN
- 1389-1286 (ISSN-L)
- OpenAlex
- W2238499080
- Cited by
- 932
- References
- 21
- Citations by year
- 2026: 27 · 2025: 64 · 2024: 86 · 2023: 81 · 2022: 113 · 2021: 125 · 2020: 132 · 2019: 122 · 2018: 106 · 2017: 52 · 2016: 23 · 2012: 1
- FWCI
- 108.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computer Networks (publishedVersion)
- Funders
- Kyungpook National University, Korea (21A20131600005)
- Topics
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- smart cities, urban planning, Internet of Things, big data analytics, sensor networks, smart home sensors, vehicular networks, smart parking, weather sensors, water sensors, surveillance, Hadoop, MapReduce, real-time data processing, four-layer architecture
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