Check computer science papers: citations, claims and retractions

Safe RLHF: Safe Reinforcement Learning from Human Feedback

Dai, J., Pan, X., Sun, R., Ji, J., Xu, X., Liu, M., Wang, Y., & Yang, Y. (2023) · arXiv

Ethics and Social Impacts of AIReinforcement Learning in Robotics

Cited by 32

Invisible body illusion modulates interpersonal space

D’Angelo, M., di Pellegrino, G., & Frassinetti, F. (2017) · Scientific Reports

Virtual Reality Applications and ImpactsEmbodied and Extended Cognition

Cited by 32

Perceus: garbage free reference counting with reuse

Reinking, A., Xie, N., de Moura, L., & Leijen, D. (2021) · Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation

Logic, programming, and type systemsParallel Computing and Optimization Techniques

Cited by 32

On the Performance and Optimization for MEC Networks Using Uplink NOMA

Ye, Y., Lu, G., Hu, R. Q., & Shi, L. (2019) · arXiv

IoT and Edge/Fog ComputingAdvanced Wireless Communication Technologies

Cited by 32

Designing with the Mind in Mind: The Psychological Basis of User Interface Design Guidelines

Johnson, J. (2021) · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 32

Using an IoT platform for trustworthy D2D communications in a real indoor environment

Nitti, M., Popescu, V., & Fadda, M. (2019) · IEEE Transactions on Network and Service Management

Cognitive Radio Networks and Spectrum SensingIoT and Edge/Fog Computing

Cited by 32

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems

Chen, K., Zhen, T., Wang, H., Liu, K., Li, X., Huo, J., Yang, T., Xu, J., Dong, W., & Gao, Y. (2025) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 32

MFF-Net: Deepfake Detection Network Based on Multi-Feature Fusion

Zhao, L., Zhang, M., Ding, H., & Cui, X. (2021) · Entropy

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 32

Explaining predictive models to learning specialists using personas

Brooks, C., & Greer, J. (2014) · Proceedings of the Fourth International Conference on Learning Analytics And Knowledge

Online Learning and AnalyticsPersona Design and Applications

Cited by 32

T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step

Chen, Z., Du, W., Zhang, W., Liu, K., Liu, J., Zheng, M., Zhuo, J., Zhang, S., Lin, D., Chen, K., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 32

AI-readiness Criteria for Biomedical Data

Clark, T., Caufield, H., Parker, J. A., Al Manir, S., Amorim, E., Eddy, J., Gim, N., Gow, B., Goar, W., Hansen, J. N., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory)

Research Data Management PracticesArtificial Intelligence in Healthcare and Education

Cited by 32

Physical indicators of cyber attacks against a rescue robot

Vuong, T., Filippoupolitis, A., Loukas, G., & Gan, D. (2014) · 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS)

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 32

SXAD: Shapely eXplainable AI-Based Anomaly Detection Using Log Data

Alam, K., Kifayat, K., Sampedro, G. A., Karovič, V., & Naeem, T. (2024) · IEEE Access

Software System Performance and ReliabilityExplainable Artificial Intelligence (XAI)

Cited by 32

Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event

Korach, Z. T., Cato, K. D., Collins, S. A., Kang, M. J., Knaplund, C., Dykes, P. C., Wang, L., Schnock, K. O., Garcia, J. P., Jia, H., et al. (2019) · Applied Clinical Informatics

Machine Learning in HealthcareNursing Diagnosis and Documentation

Cited by 32

A review of AI Technologies for Wearable Devices

Jin, C. Y. (2019) · IOP Conference Series: Materials Science and Engineering

Context-Aware Activity Recognition SystemsInternet of Things and AI

Cited by 32

Fake Profile Detection Using Machine Learning Techniques

Chakraborty, P., Shazan, M. M., Nahid, M., Ahmed, M. K., & Talukder, P. C. (2022) · Journal of Computer and Communications

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 32

A Generalization Performance Study Using Deep Learning Networks in Embedded Systems

Gorospe, J., Mulero, R., Arbelaitz, O., Muguerza, J., & Antón, M. Á. (2021) · Sensors

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 32

A blockchain-based solution for transparent intellectual property rights management: smart contracts as enablers

Alqarni, A. (2025) · Kybernetes

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 32

Analysis of web content delivery effectiveness and efficiency in responsive web design using material design guidelines and User Centered Design

Pinandito, A., Az-zahra, H. M., Fanani, L., & Putri, A. V. (2017) · 2017 International Conference on Sustainable Information Engineering and Technology (SIET)

Usability and User Interface DesignMobile and Web Applications

Cited by 32

Agentic AI systems in the age of generative models: architectures, cloud scalability, and real-world applications

Alva, L. R., & Pandey, B. (2026) · Artificial Intelligence Review

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 32

Extracting and Ranking Travel Tips from User-Generated Reviews

Guy, I., Mejer, A., Nus, A., & Raiber, F. (2017) · Proceedings of the 26th International Conference on World Wide Web

Web Data Mining and AnalysisTopic Modeling

Cited by 32

Industrial Federated Learning -- Requirements and System Design

Hiessl, T., Schall, D., Kemnitz, J., & Schulte, S. (2020) · arXiv

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 32

Sentiment Analysis in an Affective Intelligent Tutoring System

Barron-Estrada, M. L., Zatarain-Cabada, R., Oramas-Bustillos, R., & Gonzalez-Hernandez, F. (2017) · 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)

Sentiment Analysis and Opinion MiningIntelligent Tutoring Systems and Adaptive Learning

Cited by 32

Lightweight security protocols for the Internet of Things

Wu, X.-W., Yang, E.-H., & Wang, J. (2017) · 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

Advanced Authentication Protocols SecurityCryptographic Implementations and Security

Cited by 32