Check computer science papers: citations, claims and retractions

EUDAT: A New Cross-Disciplinary Data Infrastructure for Science

Lecarpentier, D., Wittenburg, P., Elbers, W., Michelini, A., Kanso, R., Coveney, P., & Baxter, R. (2013) · International Journal of Digital Curation

Research Data Management PracticesData Analysis and Archiving

Cited by 49

DevSecOps practices and tools

Prates, L., & Pereira, R. (2025) · International Journal of Information Security

Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities

Cited by 49

Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder

Lu, S., He, D., Xiong, C., Ke, G., Malik, W., Dou, Z., Bennett, P., Liu, T.-Y., & Overwijk, A. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingInformation Retrieval and Search Behavior

Cited by 49

A SYSTEMATIC REVIEW OF THE TENDENCIES IN THE USE OF LEARNING MANAGEMENT SYSTEMS

ALTINPULLUK, H., & KESIM, M. (2021) · Turkish Online Journal of Distance Education

Educational Technology and E-LearningOnline and Blended Learning

Cited by 49

Expressive AI: Games and Artificial Intelligence

Mateas, M. (2003) · DiGRA Digital Library

Artificial Intelligence in GamesDigital Games and Media

Cited by 49

Virtually Driving: Are the Driving Environments "Real Enough" for Exposure Therapy with Accident Victims? An Explorative Study

Walshe, D., Lewis, E., O'Sullivan, K., & Kim, S. I. (2005) · CyberPsychology & Behavior

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

Cited by 49

A Ranking‐Theoretic Approach to Conditionals

Spohn, W. (2013) · Cognitive Science

Logic, Reasoning, and KnowledgeSyntax, Semantics, Linguistic Variation

Cited by 49

From Untrusted Input to Trusted Memory: A Systematic Study of Memory Poisoning Attacks in LLM Agents

Dash, P., Ge, T., Jain, A., Shah, T., & Shang, Z. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 49

Exploring Numeracy in Word Embeddings

Naik, A., Ravichander, A., Rose, C., & Hovy, E. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 49

Duality-based verification techniques for 2D SLAM

Carlone, L., & Dellaert, F. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 49

Reading handwritten digits: a ZIP code recognition system

Matan, O., Baird, H. S., Bromley, J., Burges, C. J. C., Denker, J. S., Jackel, L. D., Le Cun, Y., Pednault, E. P. D., Satterfield, W. D., Stenard, C. E., et al. (1992) · Computer

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 48

Modifying Memories in Transformer Models

Zhu, C., Rawat, A. S., Zaheer, M., Bhojanapalli, S., Li, D., Yu, F., & Kumar, S. (2020) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 48

Artificial intelligence and machine learning algorithms

Tyagi, A. K., & Chahal, P. (2022) · Research Anthology on Machine Learning Techniques, Methods, and Applications

Artificial Intelligence ApplicationsAdvanced Neural Network Applications

Cited by 48

EQG-RACE: Examination-Type Question Generation

Jia, X., Zhou, W., Sun, X., & Wu, Y. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 48

Jointly Measuring Diversity and Quality in Text Generation Models

Alihosseini, D., Montahaei, E., & Soleymani Baghshah, M. (2019) · Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation

Topic ModelingNatural Language Processing Techniques

Cited by 48

Active Learning for Deep Object Detection

Brust, C.-A., Käding, C., & Denzler, J. (2019) · Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

Machine Learning and AlgorithmsAdvanced Neural Network Applications

Cited by 48

Human-in-the-loop AI reviewing: Feasibility, opportunities, and risks

Drori, I., Boston University / Columbia University, Te'eni, D., & Tel Aviv University (2024) · Journal of the Association for Information Systems

Ethics and Social Impacts of AIPublishing and Scholarly Communication

Cited by 48

Will OFDMA Improve the Performance of 802.11 Wifi Networks?

Avallone, S., Imputato, P., Redieteab, G., Ghosh, C., & Roy, S. (2021) · IEEE Wireless Communications

Wireless Networks and ProtocolsAdvanced Wireless Network Optimization

Cited by 48

Dynamic Crosswalk Scene Understanding for the Visually Impaired

Tian, S., Zheng, M., Zou, W., Li, X., & Zhang, L. (2021) · IEEE Transactions on Neural Systems and Rehabilitation Engineering

Advanced Neural Network ApplicationsAssistive Technology in Communication and Mobility

Cited by 48

On the Ability and Limitations of Transformers to Recognize Formal Languages

Bhattamishra, S., Ahuja, K., & Goyal, N. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

semigroups and automata theoryNatural Language Processing Techniques

Cited by 48

A policy primer and roadmap on AI worker surveillance and productivity scoring tools

Hickok, M., & Maslej, N. (2023) · AI and Ethics

Ethics and Social Impacts of AILegal and Labor Studies

Cited by 48

eZTrust: Network-Independent Zero-Trust Perimeterization for Microservices

Zaheer, Z., Chang, H., Mukherjee, S., & Van der Merwe, J. (2019) · Proceedings of the 2019 ACM Symposium on SDN Research

Security and Verification in ComputingNetwork Security and Intrusion Detection

Cited by 48

The emergence and importance of DevSecOps: Integrating and reviewing security practices within the DevOps pipeline

Abiona, O. O., Oladapo, O. J., Modupe, O. T., Oyeniran, O. C., Adewusi, A. O., & Komolafe, A. M. (2024) · World Journal of Advanced Engineering Technology and Sciences

Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities

Cited by 48

Diffusion for World Modeling: Visual Details Matter in Atari

Alonso, E., Jelley, A., Micheli, V., Kanervisto, A., Storkey, A., Pearce, T., & Fleuret, F. (2024) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 48