Check computer science papers: citations, claims and retractions

Fog computing architecture to enable consumer centric internet of things services

Datta, S. K., Bonnet, C., & Haerri, J. (2015) · 2015 International Symposium on Consumer Electronics (ISCE)

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 172

Toward Fairness, Accountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping Review

Singhal, A., Neveditsin, N., Tanveer, H., & Mago, V. (2024) · JMIR Medical Informatics

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 172

Integration of element specific persistent homology and machine learning for protein‐ligand binding affinity prediction

Cang, Z., & Wei, G. (2018) · International Journal for Numerical Methods in Biomedical Engineering

Topological and Geometric Data AnalysisComputational Drug Discovery Methods

Cited by 172

Exploring Computer Science: A Case Study of School Reform

Goode, J., & Margolis, J. (2011) · ACM Transactions on Computing Education

Teaching and Learning ProgrammingGender and Technology in Education

Cited by 172

DevOps Capabilities, Practices, and Challenges: Insights from a Case Study

Senapathi, M., Buchan, J., & Osman, H. (2018) · Proceedings of the 22nd International Conference on Evaluation and Assessment in Software Engineering 2018

Software Engineering Techniques and PracticesSoftware System Performance and Reliability

Cited by 172

Unsupervised Dense Information Retrieval with Contrastive Learning

Izacard, G., Caron, M., Hosseini, L., Riedel, S., Bojanowski, P., Joulin, A., & Grave, E. (2021) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 172

Avoiding local minima in variational quantum eigensolvers with the natural gradient optimizer

Wierichs, D., Gogolin, C., & Kastoryano, M. (2020) · Physical Review Research

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 172

Artificial intelligence in developing countries: bridging the gap between potential and implementation

Aderibigbe, A. O., Ohenhen, P. E., Nwaobia, N. K., Gidiagba, J. O., & Ani, E. C. (2023) · Computer Science & IT Research Journal

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 172

What HMMs Can Do

BILMES, J. A. (2006) · IEICE Transactions on Information and Systems

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 172

True Random Number Generator With a Metastability-Based Quality Control

Tokunaga, C., Blaauw, D., & Mudge, T. (2008) · IEEE Journal of Solid-State Circuits

Physical Unclonable Functions (PUFs) and Hardware SecurityAnalog and Mixed-Signal Circuit Design

Cited by 172

A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends

Sun, P., Shen, S., Wan, Y., Wu, Z., Fang, Z., & Gao, X.-Z. (2024) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingBlockchain Technology Applications and Security

Cited by 172

Interpretation and visualization techniques for deep learning models in medical imaging

Huff, D. T., Weisman, A. J., & Jeraj, R. (2021) · Physics in Medicine & Biology

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 172

Ensemble Deep-Learning-Enabled Clinical Decision Support System for Breast Cancer Diagnosis and Classification on Ultrasound Images

Ragab, M., Albukhari, A., Alyami, J., & Mansour, R. F. (2022) · Biology

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 172

Personalized Prompt Learning for Explainable Recommendation

Li, L., Zhang, Y., & Chen, L. (2023) · ACM Transactions on Information Systems

Recommender Systems and TechniquesExplainable Artificial Intelligence (XAI)

Cited by 172

On Analog Gradient Descent Learning Over Multiple Access Fading Channels

Sery, T., & Cohen, K. (2020) · IEEE Transactions on Signal Processing

Distributed Sensor Networks and Detection AlgorithmsPrivacy-Preserving Technologies in Data

Cited by 172

Towards semantic SLAM using a monocular camera

Civera, J., Galvez-Lopez, D., Riazuelo, L., Tardos, J. D., & Montiel, J. M. M. (2011) · 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems

Robotics and Sensor-Based Localization3D Surveying and Cultural Heritage

Cited by 172

Review of Security and Privacy for the Internet of Medical Things (IoMT)

Hatzivasilis, G., Soultatos, O., Ioannidis, S., Verikoukis, C., Demetriou, G., & Tsatsoulis, C. (2019) · 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS)

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 172

Loss of plasticity in deep continual learning

Dohare, S., Hernandez-Garcia, J. F., Lan, Q., Rahman, P., Mahmood, A. R., & Sutton, R. S. (2024) · Nature

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 172

AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data

Brown, C. F., Kazmierski, M. R., Pasquarella, V. J., Rucklidge, W. J., Samsikova, M., Zhang, C., Shelhamer, E., Lahera, E., Wiles, O., Ilyushchenko, S., et al. (2025) · arXiv

Remote-Sensing Image ClassificationGeographic Information Systems Studies

Cited by 172

Evaluating clone detection tools with BigCloneBench

Svajlenko, J., & Roy, C. K. (2015) · 2015 IEEE International Conference on Software Maintenance and Evolution (ICSME)

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 172

Medical imaging deep learning with differential privacy

Ziller, A., Usynin, D., Braren, R., Makowski, M., Rueckert, D., & Kaissis, G. (2021) · Scientific Reports

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 172

Avoiding local minima in variational quantum eigensolvers with the natural gradient optimizer

Wierichs, D., Gogolin, C., & Kastoryano, M. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 172

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders

Hou, Y., He, Z., McAuley, J., & Zhao, W. X. (2023) · Proceedings of the ACM Web Conference 2023

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 172

An Image Encryption Method Based on Elliptic Curve Elgamal Encryption and Chaotic Systems

Luo, Y., Ouyang, X., Liu, J., & Cao, L. (2019) · IEEE Access

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 172