Check computer science papers: citations, claims and retractions

Screening Performance and Characteristics of Breast Cancer Detected in the Mammography Screening with Artificial Intelligence Trial (MASAI): A Randomised, Controlled, Parallel-Group, Non-Inferiority, Single-Blinded, Screening Accuracy Study

Hernström, V., Josefsson, V., Sartor, H., Schmidt, D., Larsson, A.-M., Hofvind, S., Andersson, I., Rosso, A., Hagberg, O., & Lång, K. (2025) · The Lancet Digital Health

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 174

Ethical Management of Artificial Intelligence

Brendel, A. B., Mirbabaie, M., Lembcke, T.-B., & Hofeditz, L. (2021) · Sustainability

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 174

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

Zeng, Y., Lin, H., Zhang, J., Yang, D., Jia, R., & Shi, W. (2024) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 174

Software Carpentry: lessons learned

Wilson, G. (2016) · F1000Research

Teaching and Learning ProgrammingGenetics, Bioinformatics, and Biomedical Research

Cited by 174

Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box

Zhang, H., Xu, C., & Zhang, S. (2023) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 174

The Future Cybersecurity Workforce: Going Beyond Technical Skills for Successful Cyber Performance

Dawson, J., & Thomson, R. (2018) · Frontiers in Psychology

Information and Cyber SecurityInformation Systems Education and Curriculum Development

Cited by 174

ResNet or DenseNet? Introducing Dense Shortcuts to ResNet

Zhang, C., Benz, P., Argaw, D. M., Lee, S., Kim, J., Rameau, F., Bazin, J.-C., & Kweon, I. S. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 174

Computation offloading for mobile edge computing: A deep learning approach

Yu, S., Wang, X., & Langar, R. (2017) · 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

IoT and Edge/Fog ComputingMobile and Web Applications

Cited by 174

Subgoals, Context, and Worked Examples in Learning Computing Problem Solving

Morrison, B. B., Margulieux, L. E., & Guzdial, M. (2015) · Proceedings of the eleventh annual International Conference on International Computing Education Research

Teaching and Learning ProgrammingVisual and Cognitive Learning Processes

Cited by 174

How the Blockchain Revolution Will Reshape the Consumer Electronics Industry [Future Directions]

Lee, J.-H., & Pilkington, M. (2017) · IEEE Consumer Electronics Magazine

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 174

Analyzing Grant-Free Access for URLLC Service

Liu, Y., Deng, Y., Elkashlan, M., Nallanathan, A., & Karagiannidis, G. K. (2021) · IEEE Journal on Selected Areas in Communications

Wireless Networks and ProtocolsIoT Networks and Protocols

Cited by 174

Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection

Vidgen, B., Thrush, T., Waseem, Z., & Kiela, D. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 174

A systematic review of integrating computational thinking in early childhood education

Su, J., & Yang, W. (2023) · Computers and Education Open

Teaching and Learning ProgrammingChild Development and Digital Technology

Cited by 174

Memp: Exploring Agent Procedural Memory

Fang, R., Liang, Y., Wang, X., Wu, J., Qiao, S., Xie, P., Huang, F., Chen, H., & Zhang, N. (2026) · Findings of the Association for Computational Linguistics: ACL 2026

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 174

A Survey on Blockchain-Based Self-Sovereign Patient Identity in Healthcare

Houtan, B., Hafid, A. S., & Makrakis, D. (2020) · IEEE Access

Blockchain Technology Applications and SecurityElectronic Health Records Systems

Cited by 174

Eye activity as a measure of human mental effort in HCI

Chen, S., Epps, J., Ruiz, N., & Chen, F. (2011) · Proceedings of the 16th international conference on Intelligent user interfaces

Gaze Tracking and Assistive TechnologyHuman-Automation Interaction and Safety

Cited by 174

Biometric template selection and update: a case study in fingerprints

Uludag, U., Ross, A., & Jain, A. (2004) · Pattern Recognition

Biometric Identification and SecurityUser Authentication and Security Systems

Cited by 174

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement

Zhang, Z., Xu, Y., Wang, Y., Yao, B., Ritchie, D., Wu, T., Yu, M., Wang, D., & Li, T. J.-J. (2022) · CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionSocial Robot Interaction and HRI

Cited by 174

Code bubbles: a working set-based interface for code understanding and maintenance

Bragdon, A., Zeleznik, R., Reiss, S. P., Karumuri, S., Cheung, W., Kaplan, J., Coleman, C., Adeputra, F., & LaViola, J. J. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Software Engineering ResearchUsability and User Interface Design

Cited by 174

Cognitive neuroscience 2.0: building a cumulative science of human brain function

Yarkoni, T., Poldrack, R. A., Van Essen, D. C., & Wager, T. D. (2010) · Trends in Cognitive Sciences

Research Data Management PracticesFunctional Brain Connectivity Studies

Cited by 174

Experimental Quantum Computing to Solve Systems of Linear Equations

Cai, X.-D., Weedbrook, C., Su, Z.-E., Chen, M.-C., Gu, M., Zhu, M.-J., Li, L., Liu, N.-L., Lu, C.-Y., & Pan, J.-W. (2013) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 173

Energy Minimization via Graph Cuts: Settling What is Possible

Freedman, D., & Drineas, P. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)

Medical Image Segmentation TechniquesComplexity and Algorithms in Graphs

Cited by 173

Better Mini-Batch Algorithms via Accelerated Gradient Methods

Cotter, A., Shamir, O., Srebro, N., & Sridharan, K. (2011) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 173

Knowledge Base Completion: Baselines Strike Back

Kadlec, R., Bajgar, O., & Kleindienst, J. (2017) · Proceedings of the 2nd Workshop on Representation Learning for NLP

Advanced Graph Neural NetworksTopic Modeling

Cited by 173