Check computer science papers: citations, claims and retractions

Comparing Person- and Process-centric Strategies for Obtaining Quality Data on Amazon Mechanical Turk

Mitra, T., Hutto, C. J., & Gilbert, E. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Mobile Crowdsensing and CrowdsourcingComputational and Text Analysis Methods

Cited by 102

Applying heuristic evaluation to improve the usability of a telemedicine system

Tang, Z., Johnson, T. R., Tindall, R. D., & Zhang, J. (2006) · Telemedicine and e-Health

Usability and User Interface DesignTelemedicine and Telehealth Implementation

Cited by 102

Do Platform Migrations Compromise Content Moderation? Evidence from r/The_Donald and r/Incels

Ribeiro, M. H., Jhaver, S., Zannettou, S., Blackburn, J., De Cristofaro, E., Stringhini, G., & West, R. (2020) · arXiv

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 102

Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog

Kong, Q., Yin, F., Lu, R., Li, B., Wang, X., Cui, S., & Zhang, P. (2021) · IEEE Transactions on Industrial Informatics

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 102

Multimodal virtual reality: Input‐output devices, system integration, and human factors

Burdea, G., Richard, P., & Coiffet, P. (1996) · International Journal of Human-Computer Interaction

Virtual Reality Applications and ImpactsTeleoperation and Haptic Systems

Cited by 102

A Decentralized Federated Learning Approach for Connected Autonomous Vehicles

Pokhrel, S. R., & Choi, J. (2020) · 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

Blockchain Technology Applications and SecurityVehicular Ad Hoc Networks (VANETs)

Cited by 102

From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape

McIntosh, T. R., Susnjak, T., Liu, T., Watters, P., Xu, D., Liu, D., & Halgamuge, M. N. (2025) · Technologies

Artificial Intelligence ApplicationsTopic Modeling

Cited by 102

The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective

Unberath, M., Gao, C., Hu, Y., Judish, M., Taylor, R. H., Armand, M., & Grupp, R. (2021) · Frontiers in Robotics and AI

Medical Image Segmentation TechniquesAnatomy and Medical Technology

Cited by 102

Universal variational quantum computation

Biamonte, J. (2021) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 102

Network activity underlying the illusory self‐attribution of a dummy arm

Limanowski, J., & Blankenburg, F. (2015) · Human Brain Mapping

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 101

Alert Fatigue in Security Operations Centres: Research Challenges and Opportunities

Tariq, S., Baruwal Chhetri, M., Nepal, S., & Paris, C. (2025) · ACM Computing Surveys

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 101

SecurityEval dataset: mining vulnerability examples to evaluate machine learning-based code generation techniques

Siddiq, M. L., & Santos, J. C. S. (2022) · Proceedings of the 1st International Workshop on Mining Software Repositories Applications for Privacy and Security

Software Engineering ResearchWeb Application Security Vulnerabilities

Cited by 101

LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces from Video using Pose and Lighting Normalization

Lahiri, A., Kwatra, V., Frueh, C., Lewis, J., & Bregler, C. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Face recognition and analysisGenerative Adversarial Networks and Image Synthesis

Cited by 101

An Experimental Analysis of Security Vulnerabilities in Industrial IoT Devices

Jiang, X., Lora, M., & Chattopadhyay, S. (2020) · ACM Transactions on Internet Technology

IoT and Edge/Fog ComputingNetwork Security and Intrusion Detection

Cited by 101

Self-Supervised Video Forensics by Audio-Visual Anomaly Detection

Feng, C., Chen, Z., & Owens, A. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionBenford’s Law and Fraud Detection

Cited by 101

Vending-Bench: A Benchmark for Long-Term Coherence of Autonomous Agents

Backlund, A., & Petersson, L. (2025) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 101

Multimodal data fusion for systems improvement: A review

Gaw, N., Yousefi, S., & Gahrooei, M. R. (2022) · IISE Transactions

Multimodal Machine Learning ApplicationsAdvanced Image Fusion Techniques

Cited by 101

Real-time 2D/3D registration via CNN regression

Miao, S., Wang, Z. J., Zheng, Y., & Liao, R. (2016) · 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 101

AL: An Adaptive Learning Support System for Argumentation Skills

Wambsganss, T., Niklaus, C., Cetto, M., Söllner, M., Handschuh, S., & Leimeister, J. M. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 101

Holodeck: Language Guided Generation of 3D Embodied AI Environments

Yang, Y., Sun, F.-Y., Weihs, L., VanderBilt, E., Herrasti, A., Han, W., Wu, J., Haber, N., Krishna, R., Liu, L., et al. (2023) · arXiv

3D Shape Modeling and AnalysisArtificial Intelligence in Games

Cited by 101

Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learning

Tazawa, Y., Liang, K.-C., Yoshimura, M., Kitazawa, M., Kaise, Y., Takamiya, A., Kishi, A., Horigome, T., Mitsukura, Y., Mimura, M., et al. (2020) · Heliyon

Emotion and Mood RecognitionMental Health Research Topics

Cited by 101

Algorithmic accountability

Shah, H. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 101

Holodeck: Language Guided Generation of 3D Embodied AI Environments

Yang, Y., Sun, F.-Y., Weihs, L., Vanderbilt, E., Herrasti, A., Han, W., Wu, J., Haber, N., Krishna, R., Liu, L., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisArtificial Intelligence in Games

Cited by 101

Language Models can Solve Computer Tasks

Kim, G., Baldi, P., & McAleer, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 101