Check computer science papers: citations, claims and retractions

The Influence of the Task on Programmer Behaviour

Ying, A. T. T., & Robillard, M. P. (2011) · 2011 IEEE 19th International Conference on Program Comprehension

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 41

EEG-based emotion recognition with autoencoder feature fusion and MSC-TimesNet model

Yin, J., Qiao, Z., Han, L., & Zhang, X. (2026) · Computer Methods in Biomechanics and Biomedical Engineering

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 41

Reinforcement learning of a motor skill for wearing a T-shirt using topology coordinates

Matsubara, T., Shinohara, D., & Kidode, M. (2013) · Advanced Robotics

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 41

Accountability in Computer Systems

Kroll, J. A. (2020) · The Oxford Handbook of Ethics of AI

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 41

Inferring cancer disease response from radiology reports using large language models with data augmentation and prompting

Tan, R. S. Y. C., Lin, Q., Low, G. H., Lin, R., Goh, T. C., Chang, C. C. E., Lee, F. F., Chan, W. Y., Tan, W. C., Tey, H. J., et al. (2023) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 41

Resolution-based distillation for efficient histology image classification

DiPalma, J., Suriawinata, A. A., Tafe, L. J., Torresani, L., & Hassanpour, S. (2021) · Artificial Intelligence in Medicine

AI in cancer detectionAdvanced Neural Network Applications

Cited by 41

A Comprehensive Survey of Explainable Artificial Intelligence Techniques for Malicious Insider Threat Detection

Saeed Alketbi, K., & Mehmood, A. (2025) · IEEE Access

Information and Cyber SecurityExplainable Artificial Intelligence (XAI)

Cited by 41

Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems

Majcherczyk, N., Srishankar, N., & Pinciroli, C. (2021) · 2021 IEEE International Conference on Robotics and Automation (ICRA)

Privacy-Preserving Technologies in DataDistributed Control Multi-Agent Systems

Cited by 41

Research on the Matthews Correlation Coefficients Metrics of Personalized Recommendation Algorithm Evaluation

Liu, Y., Cheng, J., Yan, C., Wu, X., & Chen, F. (2015) · International Journal of Hybrid Information Technology

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 41

Vision-language foundation model for 3D medical imaging

Wu, J., Wang, Y., Zhong, Z., Liao, W., Trayanova, N., Jiao, Z., & Bai, H. X. (2025) · npj Artificial Intelligence

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 41

Student appreciation of data-driven feedback: A pilot study on OnTask

Tsai, Y.-S., Mello, R. F., Jovanović, J., & Gašević, D. (2021) · LAK21: 11th International Learning Analytics and Knowledge Conference

Online Learning and AnalyticsStudent Assessment and Feedback

Cited by 41

Few-Shot Class Incremental Learning Leveraging Self-Supervised Features

Ahmad, T., Dhamija, A. R., Cruz, S., Rabinowitz, R., Li, C., Jafarzadeh, M., & Boult, T. E. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 41

The patchworks code editor: toward faster navigation with less code arranging and fewer navigation mistakes

Henley, A. Z., & Fleming, S. D. (2014) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Software Engineering ResearchUsability and User Interface Design

Cited by 41

SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints

Testolina, P., Barbato, F., Michieli, U., Giordani, M., Zanuttigh, P., & Zorzi, M. (2023) · IEEE Transactions on Intelligent Transportation Systems

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 41

Temporal convolutional networks and data rebalancing for clinical length of stay and mortality prediction

Bednarski, B. P., Singh, A. D., Zhang, W., Jones, W. M., Naeim, A., & Ramezani, R. (2022) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 41

Networked Control: Search Engines and the Symmetry of Confidence

Rieder, B. (2005) · The International Review of Information Ethics

Information Retrieval and Search BehaviorEthics and Social Impacts of AI

Cited by 41

Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles

Fan, W., Zhao, X., Li, Q., Derr, T., Ma, Y., Liu, H., Wang, J., & Tang, J. (2023) · IEEE Transactions on Knowledge and Data Engineering

Recommender Systems and TechniquesAdversarial Robustness in Machine Learning

Cited by 41

Forgery-Aware Adaptive Learning With Vision Transformer for Generalized Face Forgery Detection

Luo, A., Cai, R., Kong, C., Ju, Y., Kang, X., Huang, J., & Kot, A. C. (2025) · IEEE Transactions on Circuits and Systems for Video Technology

Digital Media Forensic DetectionFace recognition and analysis

Cited by 41

Vision-Aided Absolute Trajectory Estimation Using an Unsupervised Deep Network with Online Error Correction

Shamwell, E. J., Leung, S., & Nothwang, W. D. (2018) · 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robotics and Sensor-Based LocalizationInertial Sensor and Navigation

Cited by 41

CharacterChat: Supporting the Creation of Fictional Characters through Conversation and Progressive Manifestation with a Chatbot

Schmitt, O., & Buschek, D. (2021) · Creativity and Cognition

Artificial Intelligence in GamesArtistic and Creative Research

Cited by 41

Machine Learning Explainability for External Stakeholders

Bhatt, U., Andrus, M., Weller, A., & Xiang, A. (2020) · arXiv

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

Cited by 41

A Review of Applications of Machine Learning in Mammography and Future Challenges

Batchu, S., Liu, F., Amireh, A., Waller, J., & Umair, M. (2021) · Oncology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 41

Fuzzy Logic Systems for Healthcare Applications

Suzuki, A., & Negishi, E. (2024) · Journal of Biomedical and Sustainable Healthcare Applications

Fuzzy Logic and Control SystemsArtificial Intelligence in Healthcare

Cited by 41

Layout-based Causal Inference for Object Navigation

Zhang, S., Song, X., Li, W., Bai, Y., Yu, X., & Jiang, S. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsSpatial Cognition and Navigation

Cited by 41