Check computer science papers: citations, claims and retractions

GNNExplainer: Generating Explanations for Graph Neural Networks

Ying, R., Bourgeois, D., You, J., Zitnik, M., & Leskovec, J. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Advanced Graph Neural Networks

Cited by 850

The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., Dafoe, A., Scharre, P., Zeitzoff, T., Filar, B., et al. (2018) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 849

Learning Differentially Private Recurrent Language Models

McMahan, H. B., Ramage, D., Talwar, K., & Zhang, L. (2017) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 849

The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., Dafoe, A., Scharre, P., Zeitzoff, T., Filar, B., et al. (2018) · Apollo - University of Cambridge Repository

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 849

Demystifying LLM-Based Software Engineering Agents

Xia, C. S., Deng, Y., Dunn, S., & Zhang, L. (2025) · Proceedings of the ACM on Software Engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 849

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Tang, Y., Yang, D., Li, W., Roth, H. R., Landman, B., Xu, D., Nath, V., & Hatamizadeh, A. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 849

Quantum Algorithms for Quantum Chemistry and Quantum Materials Science

Bauer, B., Bravyi, S., Motta, M., & Chan, G. K.-L. (2020) · Chemical Reviews

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 848

Dynamic Neural Networks: A Survey

Han, Y., Huang, G., Song, S., Yang, L., Wang, H., & Wang, Y. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 848

A large language model for electronic health records

Yang, X., Chen, A., PourNejatian, N., Shin, H. C., Smith, K. E., Parisien, C., Compas, C., Martin, C., Costa, A. B., Flores, M. G., et al. (2022) · npj Digital Medicine

Machine Learning in HealthcareTopic Modeling

Cited by 847

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Rajeswaran, A., Kumar, V., Gupta, A., Vezzani, G., Schulman, J., Todorov, E., & Levine, S. (2018) · Robotics: Science and Systems XIV

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 847

The logic theory machine-A complex information processing system

Newell, A., & Simon, H. (1956) · IEEE Transactions on Information Theory

AI-based Problem Solving and PlanningLogic, Reasoning, and Knowledge

Cited by 846

Visualizing and Understanding Recurrent Networks

Karpathy, A., Johnson, J., & Fei-Fei, L. (2015) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 845

Mitigating bias in algorithmic hiring: evaluating claims and practices

Raghavan, M., Barocas, S., Kleinberg, J., & Levy, K. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 845

Once-for-All: Train One Network and Specialize it for Efficient Deployment

Cai, H., Gan, C., Wang, T., Zhang, Z., & Han, S. (2019) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 845

The use of eye movements in human-computer interaction techniques: what you look at is what you get

Jacob, R. J. K. (1991) · ACM Transactions on Information Systems

Gaze Tracking and Assistive TechnologyInteractive and Immersive Displays

Cited by 845

Touchalytics: On the Applicability of Touchscreen Input as a Behavioral Biometric for Continuous Authentication

Frank, M., Biedert, R., Ma, E., Martinovic, I., & Song, D. (2013) · IEEE Transactions on Information Forensics and Security

User Authentication and Security SystemsBiometric Identification and Security

Cited by 844

What Are Artificial Neural Networks?

Krogh, A. (2008) · Nature Biotechnology

Neural Networks and ApplicationsArtificial Intelligence Applications

Cited by 844

A Survey on Quality of Experience of HTTP Adaptive Streaming

Seufert, M., Egger, S., Slanina, M., Zinner, T., Hoßfeld, T., & Tran-Gia, P. (2015) · IEEE Communications Surveys & Tutorials

Image and Video Quality AssessmentNetwork Traffic and Congestion Control

Cited by 844

Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices

Teerapittayanon, S., McDanel, B., & Kung, H. T. (2017) · 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 843

Explainable artificial intelligence: an analytical review

Angelov, P. P., Soares, E. A., Jiang, R., Arnold, N. I., & Atkinson, P. M. (2021) · WIREs Data Mining and Knowledge Discovery

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 843

Interactive medical image segmentation using deep learning with image-specific fine tuning

Wang, G., Li, W., Zuluaga, M. A., Pratt, R., Patel, P. A., Aertsen, M., Doel, T., David, A. L., Deprest, J., Ourselin, S., et al. (2018) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 843

Federated learning for predicting clinical outcomes in patients with COVID-19

Dayan, I., Roth, H. R., Zhong, A., Harouni, A., Gentili, A., Abidin, A. Z., Liu, A., Costa, A. B., Wood, B. J., Tsai, C.-S., et al. (2021) · Nature Medicine

Machine Learning in HealthcareCOVID-19 diagnosis using AI

Cited by 842

Adaptive Graph Convolutional Neural Networks

Li, R., Wang, S., Zhu, F., & Huang, J. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 842

Why Voxel-based morphometry should be used

Ashburner, J., & Friston, K. J. (2001) · NeuroImage

Medical Image Segmentation TechniquesAdvanced Neuroimaging Techniques and Applications

Cited by 842