Check computer science papers: citations, claims and retractions

A systematic review of federated learning in the healthcare area: From the perspective of data properties and applications

Prayitno, Shyu, C.-R., Putra, K. T., Chen, H.-C., Tsai, Y.-Y., Hossain, K. S. M. T., Jiang, W., & Shae, Z.-Y. (2021) · Applied Sciences

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 210

AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap

Liao, Q. V., & Wortman Vaughan, J. (2024) · Harvard Data Science Review

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

Cited by 210

Usability evaluation for mobile device: a comparison of laboratory and field tests

Duh, H. B.-L., Tan, G. C. B., & Chen, V. H.-H. (2006) · Proceedings of the 8th conference on Human-computer interaction with mobile devices and services

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 210

3D Pose Regression Using Convolutional Neural Networks

Mahendran, S., Ali, H., & Vidal, R. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Neural Network ApplicationsRobot Manipulation and Learning

Cited by 210

Attention Correctness in Neural Image Captioning

Liu, C., Mao, J., Sha, F., & Yuille, A. (2017) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 210

Closing global achievement gaps in MOOCs

Kizilcec, R. F., Saltarelli, A. J., Reich, J., & Cohen, G. L. (2017) · Science

Online Learning and AnalyticsEducation, Achievement, and Giftedness

Cited by 210

A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization

Abernethy, J., Bach, F., Evgeniou, T., & Vert, J.-P. (2008) · arXiv

Recommender Systems and TechniquesSparse and Compressive Sensing Techniques

Cited by 210

Comparing Code Explanations Created by Students and Large Language Models

Leinonen, J., Denny, P., MacNeil, S., Sarsa, S., Bernstein, S., Kim, J., Tran, A., & Hellas, A. (2023) · Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 210

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Kıcıman, E., Ness, R., Sharma, A., & Tan, C. (2023) · arXiv

Bayesian Modeling and Causal InferenceLogic, Reasoning, and Knowledge

Cited by 210

Dense Variational Reconstruction of Non-rigid Surfaces from Monocular Video

Garg, R., Roussos, A., & Agapito, L. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Vision and Imaging3D Shape Modeling and Analysis

Cited by 210

Mining the Blogosphere: Age, gender and the varieties of self-expression

Argamon, S., Koppel, M., Pennebaker, J. W., & Schler, J. (2007) · First Monday

Authorship Attribution and ProfilingDigital Communication and Language

Cited by 210

Video quality assessment using a statistical model of human visual speed perception

Wang, Z., & Li, Q. (2007) · Journal of the Optical Society of America A

Image and Video Quality AssessmentVisual perception and processing mechanisms

Cited by 210

Generative Semi-supervised Learning for Multivariate Time Series Imputation

Miao, X., Wu, Y., Wang, J., Gao, Y., Mao, X., & Yin, J. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingGenerative Adversarial Networks and Image Synthesis

Cited by 210

How does search behavior change as search becomes more difficult?

Aula, A., Khan, R. M., & Guan, Z. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 209

Analysis of the Security and Privacy Requirements of Cloud-Based Electronic Health Records Systems

JPC Rodrigues, J., de la Torre, I., Fernández, G., & López-Coronado, M. (2013) · Journal of Medical Internet Research

Cloud Data Security SolutionsElectronic Health Records Systems

Cited by 209

What large language models know and what people think they know

Steyvers, M., Tejeda, H., Kumar, A., Belem, C., Karny, S., Hu, X., Mayer, L. W., & Smyth, P. (2025) · Nature Machine Intelligence

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

Cited by 209

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs

Chen, Z., Mao, H., Li, H., Jin, W., Wen, H., Wei, X., Wang, S., Yin, D., Fan, W., Liu, H., et al. (2024) · ACM SIGKDD Explorations Newsletter

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 209

Discovering Causal Signals in Images

Lopez-Paz, D., Nishihara, R., Chintala, S., Scholkopf, B., & Bottou, L. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Bayesian Modeling and Causal InferenceImage Retrieval and Classification Techniques

Cited by 209

REPLUG: Retrieval-Augmented Black-Box Language Models

Shi, W., Min, S., Yasunaga, M., Seo, M., James, R., Lewis, M., Zettlemoyer, L., & Yih, W.-T. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 209

Code Prediction by Feeding Trees to Transformers

Kim, S., Zhao, J., Tian, Y., & Chandra, S. (2021) · 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)

Software Engineering ResearchTopic Modeling

Cited by 209

The YouTube Lens: Crowdsourced Personality Impressions and Audiovisual Analysis of Vlogs

Biel, J.-I., & Gatica-Perez, D. (2013) · IEEE Transactions on Multimedia

Emotion and Mood RecognitionMobile Crowdsensing and Crowdsourcing

Cited by 209

Task-Oriented Communication for Multidevice Cooperative Edge Inference

Shao, J., Mao, Y., & Zhang, J. (2023) · IEEE Transactions on Wireless Communications

IoT and Edge/Fog ComputingDistributed Sensor Networks and Detection Algorithms

Cited by 209

Quantum Optimization of Fully Connected Spin Glasses

Venturelli, D., Mandrà, S., Knysh, S., O’Gorman, B., Biswas, R., & Smelyanskiy, V. (2015) · Physical Review X

Quantum Computing Algorithms and ArchitectureTheoretical and Computational Physics

Cited by 209

AdapNet: Adaptive semantic segmentation in adverse environmental conditions

Valada, A., Vertens, J., Dhall, A., & Burgard, W. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 209