Check computer science papers: citations, claims and retractions

Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models

Alsentzer, E., Rasmussen, M. J., Fontoura, R., Cull, A. L., Beaulieu-Jones, B., Gray, K. J., Bates, D. W., & Kovacheva, V. P. (2023) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 69

Using Facial Micro-Expressions in Combination With EEG and Physiological Signals for Emotion Recognition

Saffaryazdi, N., Wasim, S. T., Dileep, K., Nia, A. F., Nanayakkara, S., Broadbent, E., & Billinghurst, M. (2022) · Frontiers in Psychology

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 69

Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities

Yigit, Y., Ferrag, M. A., Ghanem, M. C., Sarker, I. H., Maglaras, L. A., Chrysoulas, C., Moradpoor, N., Tihanyi, N., & Janicke, H. (2025) · Sensors

Adversarial Robustness in Machine LearningInformation and Cyber Security

Cited by 69

CCT5: A Code-Change-Oriented Pre-trained Model

Lin, B., Wang, S., Liu, Z., Liu, Y., Xia, X., & Mao, X. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 69

Deep Learning-Based Clinical Decision Support System for Gastric Neoplasms in Real-Time Endoscopy: Development and Validation Study

Gong, E. J., Bang, C. S., Lee, J. J., Baik, G. H., Lim, H., Jeong, J. H., Choi, S. W., Cho, J., Kim, D. Y., Lee, K. B., et al. (2023) · Endoscopy

AI in cancer detectionGastric Cancer Management and Outcomes

Cited by 69

Understanding artificial agency

Dung, L. (2025) · The Philosophical Quarterly

Ethics and Social Impacts of AILiterary and Philosophical Studies

Cited by 69

YFCC100M: The New Data in Multimedia Research

Thomee, B., Shamma, D. A., Friedland, G., Elizalde, B., Ni, K., Poland, D., Borth, D., & Li, L.-J. (2015) · arXiv

Image Retrieval and Classification TechniquesPhotography and Visual Culture

Cited by 69

Algorithmic risk assessments can alter human decision-making processes in high-stakes government contexts

Green, B., & Chen, Y. (2021) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 69

Low overhead quantum computation using lattice surgery

Fowler, A. G., & Gidney, C. (2018) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 69

Utilizing Health Behavior Change and Technology Acceptance Models to Predict the Adoption of COVID-19 Contact Tracing Apps: Cross-sectional Survey Study

Tomczyk, S., Barth, S., Schmidt, S., & Muehlan, H. (2021) · Journal of Medical Internet Research

COVID-19 Digital Contact TracingMobile Health and mHealth Applications

Cited by 69

CHAT-ACTS: A pedagogical framework for personalized chatbot to enhance active learning and self-regulated learning

Lin, M. P.-C., & Chang, D. (2023) · Computers and Education: Artificial Intelligence

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 69

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Artificial Intelligence Incidents & Ethics A Narrative Review

Nasim, S. F., Ali, M. R., & Kulsoom, U. (2022) · International Journal of Technology, Innovation and Management (IJTIM)

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 69

Cold Case: The Lost MNIST Digits

Yadav, C., & Bottou, L. (2019) · arXiv

Machine Learning and Data ClassificationHandwritten Text Recognition Techniques

Cited by 69

Detecting Insider Threat from Enterprise Social and Online Activity Data

Gavai, G., Sricharan, K., Gunning, D., Rolleston, R., Hanley, J., & Singhal, M. (2015) · Proceedings of the 7th ACM CCS International Workshop on Managing Insider Security Threats

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 69

Quantum enhancements for deep reinforcement learning in large spaces

Jerbi, S., Trenkwalder, L. M., Nautrup, H. P., Briegel, H. J., & Dunjko, V. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureReinforcement Learning in Robotics

Cited by 69

TallyQA: Answering Complex Counting Questions

Acharya, M., Kafle, K., & Kanan, C. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 69

An NDN IoT Content Distribution Model With Network Coding Enhanced Forwarding Strategy for 5G

Lei, K., Zhong, S., Zhu, F., Xu, K., & Zhang, H. (2018) · IEEE Transactions on Industrial Informatics

Caching and Content DeliveryPeer-to-Peer Network Technologies

Cited by 69

Ensuring Global Termination of Partial Deduction While Allowing Flexible Polyvariance

Martens, B., & Gallagher, J. (1995) · Logic Programming

Logic, programming, and type systemsLogic, Reasoning, and Knowledge

Cited by 69

Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice

Liang, C.-H., Liu, Y.-C., Wu, M.-T., Garcia-Castro, F., Alberich-Bayarri, A., & Wu, F.-Z. (2020) · Clinical Radiology

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 69

Cutting Chai, Jugaad, and Here Pheri: towards UbiComp for a global community

Rangaswamy, N., & Sambasivan, N. (2011) · Personal and Ubiquitous Computing

ICT in Developing CommunitiesInnovation and Socioeconomic Development

Cited by 69

Mobile-edge computing come home connecting things in future smart homes using lte device-to-device communications

Vallati, C., Virdis, A., Mingozzi, E., & Stea, G. (2016) · IEEE Consumer Electronics Magazine

IoT and Edge/Fog ComputingIoT Networks and Protocols

Cited by 69

Randomized distributed mean estimation: Accuracy vs. communication

Konečný, J., & Richtárik, P. (2018) · Frontiers in Applied Mathematics and Statistics

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 69

Facebook for self-empowerment? A study of Facebook adoption in urban India

Kumar, N. (2014) · New Media & Society

ICT in Developing CommunitiesSocial Media and Politics

Cited by 69