Check computer science papers: citations, claims and retractions

The Proteus Effect: The Effect of Transformed Self-Representation on Behavior

Yee, N., & Bailenson, J. (2007) · Human Communication Research

Virtual Reality Applications and ImpactsSocial Robot Interaction and HRI

Cited by 2,126

Amortized efficiency of list update and paging rules

Sleator, D. D., & Tarjan, R. E. (1985) · Communications of the ACM

Optimization and Search ProblemsAlgorithms and Data Compression

Cited by 2,123

SOME BASIC CRYPTOGRAPHIC REQUIREMENTS FOR CHAOS-BASED CRYPTOSYSTEMS

ALVAREZ, G., & LI, S. (2006) · International Journal of Bifurcation and Chaos

Chaos-based Image/Signal EncryptionChaos control and synchronization

Cited by 2,119

Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning

Elfwing, S., Uchibe, E., & Doya, K. (2018) · Neural Networks

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 2,119

Person Transfer GAN to Bridge Domain Gap for Person Re-identification

Wei, L., Zhang, S., Gao, W., & Tian, Q. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsDomain Adaptation and Few-Shot Learning

Cited by 2,118

Efficient Non-Maximum Suppression

Neubeck, A., & Van Gool, L. (2006) · 18th International Conference on Pattern Recognition (ICPR'06)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 2,118

Image quality measures and their performance

Eskicioglu, A. M., & Fisher, P. S. (1995) · IEEE Transactions on Communications

Image and Video Quality AssessmentAdvanced Data Compression Techniques

Cited by 2,117

Learning Deep CNN Denoiser Prior for Image Restoration

Zhang, K., Zuo, W., Gu, S., & Zhang, L. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Image and Signal Denoising MethodsAdvanced Image Processing Techniques

Cited by 2,116

Functions of Matrices: Theory and Computation

Higham, N. J. (2008) · Society for Industrial and Applied Mathematics eBooks

Matrix Theory and AlgorithmsNumerical Methods and Algorithms

Cited by 2,113

A Call for Clarity in Reporting BLEU Scores

Post, M. (2018) · Proceedings of the Third Conference on Machine Translation: Research Papers

Natural Language Processing TechniquesTopic Modeling

Cited by 2,112

A Call for Clarity in Reporting BLEU Scores

Post, M. (2018) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 2,111

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Lu, J., Batra, D., Parikh, D., & Lee, S. (2019) · arXiv

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 2,109

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Courbariaux, M., Hubara, I., Soudry, D., El-Yaniv, R., & Bengio, Y. (2016) · arXiv

Advanced Neural Network ApplicationsAdvanced Memory and Neural Computing

Cited by 2,106

Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks

Gururangan, S., Marasović, A., Swayamdipta, S., Lo, K., Beltagy, I., Downey, D., & Smith, N. A. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 2,103

High-Dimensional Continuous Control Using Generalized Advantage Estimation

Schulman, J., Moritz, P., Levine, S., Jordan, M., & Abbeel, P. (2015) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 2,103

Tensor Fusion Network for Multimodal Sentiment Analysis

Zadeh, A., Chen, M., Poria, S., Cambria, E., & Morency, L.-P. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Sentiment Analysis and Opinion MiningMultimodal Machine Learning Applications

Cited by 2,102

Complex Embeddings for Simple Link Prediction

Trouillon, T., Welbl, J., Riedel, S., Gaussier, É., & Bouchard, G. (2016) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 2,100

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

Yin, C., Zhu, Y., Fei, J., & He, X. (2017) · IEEE Access

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 2,100

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

Ghiasi, G., Lin, T.-Y., & Le, Q. V. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 2,099

BIRCH: an efficient data clustering method for very large databases

Zhang, T., Ramakrishnan, R., & Livny, M. (1996) · ACM SIGMOD Record

Advanced Clustering Algorithms ResearchData Management and Algorithms

Cited by 2,097

Combinational profiles of sequential benchmark circuits

Brglez, F., Bryan, D., & Kozminski, K. (2003) · IEEE International Symposium on Circuits and Systems

VLSI and Analog Circuit TestingRadiation Effects in Electronics

Cited by 2,095

A Survey of Large Language Models

Zhao, W. X., Zhou, K., Li, J., Tang, T., Dong, Z., Hou, Y., Zhang, B., Min, Y., Zhang, J., Liu, P., et al. (2026) · Frontiers of Computer Science

Topic ModelingNatural Language Processing Techniques

Cited by 2,093

Medical image registration

Hill, D. L. G., Batchelor, P. G., Holden, M., & Hawkes, D. J. (2001) · Physics in Medicine and Biology

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 2,093

Structure-Measure: A New Way to Evaluate Foreground Maps

Fan, D.-P., Cheng, M.-M., Liu, Y., Li, T., & Borji, A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Visual Attention and Saliency DetectionAdvanced Neural Network Applications

Cited by 2,092