Check computer science papers: citations, claims and retractions

Image-Based Insider Threat Detection via Geometric Transformation

Li, D., Yang, L., Zhang, H., Wang, X., Ma, L., & Xiao, J. (2021) · Security and Communication Networks

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 22

Weakly-supervised learning for Parkinson's Disease tremor detection

Zhang, A., Cebulla, A., Panev, S., Hodgins, J., & De la Torre, F. (2017) · 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring

Cited by 22

On the Worst Prompt Performance of Large Language Models

Cao, B., Cai, D., Zhang, Z., Zou, Y., & Lam, W. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 22

Can medical algorithms be fair? Three ethical quandaries and one dilemma

Bærøe, K., Gundersen, T., Henden, E., & Rommetveit, K. (2022) · BMJ Health & Care Informatics

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 22

TN‐USMA Net: Triple normalization‐based gastrointestinal stromal tumors classification on multicenter EUS images with ultrasound‐specific pretraining and meta attention

Liu, C., Qiao, M., Jiang, F., Guo, Y., Jin, Z., & Wang, Y. (2021) · Medical Physics

AI in cancer detectionGastrointestinal Tumor Research and Treatment

Cited by 22

From Community Governance to Customer Service and Back Again: Re-Examining Pre-Web Models of Online Governance to Address Platforms’ Crisis of Legitimacy

Zuckerman, E., & Rajendra-Nicolucci, C. (2023) · Social Media + Society

Ethics and Social Impacts of AISocial Media and Politics

Cited by 22

Using Smartphone Sensor Paradata and Personalized Machine Learning Models to Infer Participants’ Well-being: Ecological Momentary Assessment

Hart, A., Reis, D., Prestele, E., & Jacobson, N. C. (2022) · Journal of Medical Internet Research

Context-Aware Activity Recognition SystemsMental Health Research Topics

Cited by 22

Fetal facial standard plane recognition via very deep convolutional networks

Yu, Z., Ni, D., Chen, S., Li, S., Wang, T., & Lei, B. (2016) · 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 22

A coherent perceptron for all-optical learning

Tezak, N., & Mabuchi, H. (2015) · EPJ Quantum Technology

Neural Networks and Reservoir ComputingSemiconductor Lasers and Optical Devices

Cited by 22

Measuring Fairness in an Unfair World

Herington, J. (2020) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 22

BUMAR: A Blockchain-Empowered UAV-Assisted Smart Surveillance Architecture for Marine Areas

Islam, A., Sadia, K., Masuduzzaman, M., & Shin, S. Y. (2020) · Proceedings of the International Conference on Computing Advancements

Blockchain Technology Applications and SecurityAdvanced Authentication Protocols Security

Cited by 22

Consequences of Misaligned AI

Zhuang, S., & Hadfield-Menell, D. (2021) · arXiv

Reinforcement Learning in RoboticsGame Theory and Applications

Cited by 22

Parakeet: Practical Key Transparency for End-to-End Encrypted Messaging

Malvai, H., Kokoris-Kogias, L., Sonnino, A., Ghosh, E., Oztürk, E., Lewi, K., & Lawlor, S. (2023) · Proceedings 2023 Network and Distributed System Security Symposium

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 22

Reducing the Amount of Single‐Qubit Rotations in VQE and Related Algorithms

Rasmussen, S. E., Loft, N. J. S., Bækkegaard, T., Kues, M., & Zinner, N. T. (2020) · Advanced Quantum Technologies

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 22

The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software

Kuhn, R., Davis, F., Désilets, A., Joanis, E., Kazantseva, A., Knowles, R., Littell, P., Lothian, D., Pine, A., Running Wolf, C., et al. (2020) · Proceedings of the 28th International Conference on Computational Linguistics

Natural Language Processing TechniquesSpeech and dialogue systems

Cited by 22

Integrating redundancy, diversity, and hardening to improve security of industrial internet of things

Laszka, A., Abbas, W., Vorobeychik, Y., & Koutsoukos, X. (2020) · Cyber-Physical Systems

Information and Cyber SecuritySmart Grid Security and Resilience

Cited by 22

Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Question Answering Task

Ranaldi, L. (2026) · Findings of the Association for Computational Linguistics: EACL 2026

Topic ModelingInformation Retrieval and Search Behavior

Cited by 22

Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment

Liang, P. P., Wu, P., Ziyin, L., Morency, L.-P., & Salakhutdinov, R. (2021) · Proceedings of the 29th ACM International Conference on Multimedia

Domain Adaptation and Few-Shot LearningMultimodal Machine Learning Applications

Cited by 22

Summary attributes and perceived search quality

Rose, D. E., Orr, D., & Kantamneni, R. G. P. (2007) · Proceedings of the 16th international conference on World Wide Web

Information Retrieval and Search BehaviorUsability and User Interface Design

Cited by 22

Deploying Machine Learning Models for Public Policy: A Framework

Ackermann, K., Walsh, J., De Unánue, A., Naveed, H., Navarrete Rivera, A., Lee, S.-J., Bennett, J., Defoe, M., Cody, C., Haynes, L., et al. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Ethics and Social Impacts of AIPolicing Practices and Perceptions

Cited by 22

Radio Frequency Fingerprints Extraction for LTE-V2X: A Channel Estimation Based Methodology

Chen, T., Shen, H., Hu, A., He, W., Xu, J., & Hu, H. (2022) · 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

Wireless Signal Modulation ClassificationVehicular Ad Hoc Networks (VANETs)

Cited by 22

Exploiting the IoT Potential of Blockchain in the IEEE P1931.1 ROOF Standard

Meloni, A., Madanapalli, S., Divakaran, S. K., Browdy, S. F., Paranthaman, A., Jasti, A., Krishna, N., & Kumar, D. (2018) · IEEE Communications Standards Magazine

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 22

FedRDF: A Robust and Dynamic Aggregation Function Against Poisoning Attacks in Federated Learning

Campos, E. M., Gonzalez-Vidal, A., Hernández-Ramos, J. L., & Skarmeta, A. (2025) · IEEE Transactions on Emerging Topics in Computing

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 22

Data literacy and learning analytics

Mandinach, E. B., & Abrams, L. M. (2022) · The Handbook of Learning Analytics

Online Learning and AnalyticsEducational Assessment and Improvement

Cited by 22