Check computer science papers: citations, claims and retractions

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

Veale, M., Van Kleek, M., & Binns, R. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 490

Simple, accurate time synchronization for wireless sensor networks

Sichitiu, M. L., & Veerarittiphan, C. (2004) · 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003.

Network Time Synchronization TechnologiesEnergy Efficient Wireless Sensor Networks

Cited by 490

The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers

Lee, H.-P. (., Sarkar, A., Tankelevitch, L., Drosos, I., Rintel, S., Banks, R., & Wilson, N. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Intelligent Tutoring Systems and Adaptive LearningEducation and Critical Thinking Development

Cited by 490

Virtual reality in the treatment of spider phobia: a controlled study

Garcia-Palacios, A., Hoffman, H., Carlin, A., Furness, T. A., & Botella, C. (2002) · Behaviour Research and Therapy

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 490

Recent Advances in Adversarial Training for Adversarial Robustness

Bai, T., Luo, J., Zhao, J., Wen, B., & Wang, Q. (2021) · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 490

Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies

Schiff, D. (2022) · International Journal of Artificial Intelligence in Education

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 489

Recommendation for the Entropy Sources Used for Random Bit Generation

Turan, M. S., Barker, E., Kelsey, J., McKay, K. A., Baish, M. L., & Boyle, M. (2018) · NIST Special Publication 800-90B

Cryptographic Implementations and SecurityQuantum Information and Cryptography

Cited by 489

Software-sorted geographies

Graham, S. D. N. (2005) · Progress in Human Geography

Ethics and Social Impacts of AIUrban Planning and Governance

Cited by 489

Hyperparameter Optimization: Comparing Genetic Algorithm against Grid Search and Bayesian Optimization

Alibrahim, H., & Ludwig, S. A. (2021) · 2021 IEEE Congress on Evolutionary Computation (CEC)

Machine Learning and Data ClassificationMetaheuristic Optimization Algorithms Research

Cited by 489

A Survey of Online Activity Recognition Using Mobile Phones

Shoaib, M., Bosch, S., Incel, O., Scholten, H., & Havinga, P. (2015) · Sensors

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 489

The rubber hand illusion: Sensitivity and reference frame for body ownership.

Costantini, M., & Haggard, P. (2007) · Consciousness and Cognition

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 489

“What Can ChatGPT Do?” Analyzing Early Reactions to the Innovative AI Chatbot on Twitter

Taecharungroj, V. (2023) · Big Data and Cognitive Computing

Ethics and Social Impacts of AISentiment Analysis and Opinion Mining

Cited by 489

Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer

Steiner, D. F., MacDonald, R., Liu, Y., Truszkowski, P., Hipp, J. D., Gammage, C., Thng, F., Peng, L., & Stumpe, M. C. (2018) · American Journal of Surgical Pathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 489

GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition

Huang, S.-C., Shen, L., Lungren, M. P., & Yeung, S. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 489

Conditional Positional Encodings for Vision Transformers

Chu, X., Tian, Z., Zhang, B., Wang, X., & Shen, C. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 489

Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data

Shin, H.-C., Orton, M. R., Collins, D. J., Doran, S. J., & Leach, M. O. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Medical Image Segmentation TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 488

Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd

Zhang, S., Wen, L., Bian, X., Lei, Z., & Li, S. Z. (2018) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 488

Activity recognition on streaming sensor data

Krishnan, N. C., & Cook, D. J. (2014) · Pervasive and Mobile Computing

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 488

YOLO9000: Better, Faster, Stronger

Redmon, J., & Farhadi, A. (2016) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 488

Decomposing Motion and Content for Natural Video Sequence Prediction

Villegas, R., Yang, J., Hong, S., Lin, X., & Lee, H. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisHuman Pose and Action Recognition

Cited by 488

Communication-efficient edge ai: algorithms and systems

Shi, Y., Yang, K., Jiang, T., Zhang, J., & Letaief, K. B. (2020) · IEEE Communications Surveys & Tutorials

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 488

Data Cleaning: Overview and Emerging Challenges

Chu, X., Ilyas, I. F., Krishnan, S., & Wang, J. (2016) · Proceedings of the 2016 International Conference on Management of Data

Data Quality and ManagementMachine Learning and Data Classification

Cited by 488

A high-resolution 3D dynamic facial expression database

Yin, L., Chen, X., Sun, Y., Worm, T., & Reale, M. (2008) · 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition

Face recognition and analysisFace and Expression Recognition

Cited by 488

TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Yin, P., Neubig, G., Yih, W.-T., & Riedel, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 487