Check computer science papers: citations, claims and retractions

The k-means Algorithm: A Comprehensive Survey and Performance Evaluation

Ahmed, M., Seraj, R., & Islam, S. M. S. (2020) · Electronics

Advanced Clustering Algorithms ResearchData Mining and Machine Learning Applications

Cited by 1,717

Palette: Image-to-Image Diffusion Models

Saharia, C., Chan, W., Chang, H., Lee, C., Ho, J., Salimans, T., Fleet, D., & Norouzi, M. (2022) · Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings

Generative Adversarial Networks and Image SynthesisImage and Signal Denoising Methods

Cited by 1,717

Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

Kim, T., Cha, M., Kim, H., Lee, J. K., & Kim, J. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 1,716

Sparse Representation for Color Image Restoration

Mairal, J., Elad, M., & Sapiro, G. (2008) · IEEE Transactions on Image Processing

Image and Signal Denoising MethodsSparse and Compressive Sensing Techniques

Cited by 1,716

Advances in natural language processing

Hirschberg, J., & Manning, C. D. (2015) · Science

Natural Language Processing TechniquesTopic Modeling

Cited by 1,712

Deep patient: An unsupervised representation to predict the future of patients from the electronic health records

Miotto, R., Li, L., Kidd, B. A., & Dudley, J. T. (2016) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 1,710

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

Zhao, H., Qi, X., Shen, X., Shi, J., & Jia, J. (2018) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,709

Immersive Interfaces for Engagement and Learning

Dede, C. (2009) · Science

Virtual Reality Applications and ImpactsVisual and Cognitive Learning Processes

Cited by 1,707

Dynamic computation offloading for mobile-edge computing with energy harvesting devices

Mao, Y., Zhang, J., & Letaief, K. B. (2016) · IEEE Journal on Selected Areas in Communications

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 1,705

Privacy-preserving data publishing: A survey of recent developments

Fung, B. C. M., Wang, K., Chen, R., & Yu, P. S. (2010) · ACM Computing Surveys

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 1,704

Diffusion Models: A Comprehensive Survey of Methods and Applications

Yang, L., Zhang, Z., Song, Y., Hong, S., Xu, R., Zhao, Y., Zhang, W., Cui, B., & Yang, M.-H. (2024) · ACM Computing Surveys

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 1,704

DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning

Guo, D., Yang, D., Zhang, H., Song, J., Wang, P., Zhu, Q., Xu, R., Zhang, R., Ma, S., Bi, X., et al. (2025) · Nature

Topic ModelingNatural Language Processing Techniques

Cited by 1,701

Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology

Bera, K., Schalper, K. A., Rimm, D. L., Velcheti, V., & Madabhushi, A. (2019) · Nature Reviews Clinical Oncology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 1,698

An Introduction to Computational Learning Theory

Kearns, M. J., & Vazirani, U. (1994) · The MIT Press eBooks

Machine Learning and AlgorithmsComputability, Logic, AI Algorithms

Cited by 1,697

Joint 3D Proposal Generation and Object Detection from View Aggregation

Ku, J., Mozifian, M., Lee, J., Harakeh, A., & Waslander, S. L. (2018) · 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 1,697

Building high-level features using large scale unsupervised learning

Le, Q. V. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,695

Artificial intelligence in drug discovery and development

Paul, D., Sanap, G., Shenoy, S., Kalyane, D., Kalia, K., & Tekade, R. K. (2021) · Drug Discovery Today

Computational Drug Discovery MethodsArtificial Intelligence in Healthcare and Education

Cited by 1,695

Bringing computational thinking to K-12: what is Involved and what is the role of the computer science education community?

Barr, V., & Stephenson, C. (2011) · ACM Inroads

Teaching and Learning ProgrammingScience Education and Pedagogy

Cited by 1,692

Deep Learning on Graphs: A Survey

Zhang, Z., Cui, P., & Zhu, W. (2018) · arXiv

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 1,692

Computational Complexity: A Modern Approach

Arora, S., & Barak, B. (2009) · Cambridge University Press eBooks

Complexity and Algorithms in GraphsComputability, Logic, AI Algorithms

Cited by 1,690

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Zhou, S., Wu, Y., Ni, Z., Zhou, X., Wen, H., & Zou, Y. (2016) · arXiv

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 1,690

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Joshi, M., Choi, E., Weld, D., & Zettlemoyer, L. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 1,690

Bitcoin and beyond: a technical survey on decentralized digital currencies

Tschorsch, F., & Scheuermann, B. (2016) · IEEE Communications Surveys & Tutorials

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 1,690

Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study

Sara, U., Akter, M., & Uddin, M. S. (2019) · Journal of Computer and Communications

Image and Video Quality AssessmentImage and Signal Denoising Methods

Cited by 1,689