Check computer science papers: citations, claims and retractions

MedRedQA for Medical Consumer Question Answering: Dataset, Tasks, and Neural Baselines

Nguyen, V., Karimi, S., Rybinski, M., & Xing, Z. (2023) · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingHealth Literacy and Information Accessibility

Cited by 5

Anomaly Detection Method Considering PLC Control Logic Structure for ICS Cyber Threat Detection

Lee, J. H., Ji, I. H., Jeon, S. H., & Seo, J. T. (2025) · Applied Sciences

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 5

Exploring the factors influencing college students’ learning satisfaction in generative AI-supported MOOCs learning environment: a learning experience framework perspective

Lv, P., Wang, X., Nie, Y., Wu, R., & Wang, L. (2025) · Frontiers in Psychology

Online Learning and AnalyticsOnline and Blended Learning

Cited by 5

From Data Quality for AI to AI for Data Quality: A Systematic Review of Tools for AI-Augmented Data Quality Management in Data Warehouses

Tamm, H. C., & Nikiforova, A. (2026) · Lecture Notes in Business Information Processing

Data Quality and ManagementBig Data and Business Intelligence

Cited by 5

MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain

Chase, T., & Dantu, K. (2024) · arXiv

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 5

STEER: Assessing the Economic Rationality of Large Language Models

Raman, N., Lundy, T., Amouyal, S., Levine, Y., Leyton-Brown, K., & Tennenholtz, M. (2024) · arXiv

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 5

Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis

Chi, T.-C., Fan, T.-H., Rudnicky, A., & Ramadge, P. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 5

FINCH: Prompt-guided Key-Value Cache Compression for Large Language Models

Corallo, G., & Papotti, P. (2024) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 5

Subjective Experience in AI Systems: What Do AI Researchers and the Public Believe?

Dreksler, N., Caviola, L., Chalmers, D., Allen, C., Rand, A., Lewis, J., Waggoner, P., Mays, K., & Sebo, J. (2025) · arXiv

Ethics and Social Impacts of AILiterary and Philosophical Studies

Cited by 5

A Study of LLMs’ Preferences for Libraries and Programming Languages

Twist, L., Zhang, J. M., Harman, M., Syme, D., Noppen, J., Yannakoudakis, H., & Nauck, D. (2026) · Findings of the Association for Computational Linguistics: ACL 2026

Software Engineering ResearchTopic Modeling

Cited by 5

EANA: Reducing Privacy Risk on Large-scale Recommendation Models

Ning, L., Chien, S., Song, S., Chen, M., Xue, Y., & Berlowitz, D. (2022) · Proceedings of the 16th ACM Conference on Recommender Systems

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 5

Cross-modal similar clinical case retrieval using a modular model based on contrastive learning and k-nearest neighbor search

Fang, S., Hong, S., Li, Q., Li, P., Coats, T., Zou, B., & Kong, G. (2025) · International Journal of Medical Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 5

Generating Personas for Games with Multimodal Adversarial Imitation Learning

Ahlberg, W., Sestini, A., Tollmar, K., & Gisslén, L. (2023) · 2023 IEEE Conference on Games (CoG)

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 5

Fine-Tuning and Aligning Question Answering Models for Complex Information Extraction Tasks

Engelbach, M., Klau, D., Scheerer, F., Drawehn, J., & Kintz, M. (2023) · Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

Topic ModelingMultimodal Machine Learning Applications

Cited by 5

Fault Root Rank Algorithm Based on Random Walk Mechanism in Fault Knowledge Graph

Sun, Y., Zhao, L., Wang, Z., Cui, D., Yang, Y., & Gao, Z. (2021) · 2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 5

Signifiers for conveying and exploiting affordances: from human-computer interaction to multi-agent systems

Lemée, J., Vachtsevanou, D., Mayer, S., & Ciortea, A. (2024) · Annals of Mathematics and Artificial Intelligence

Multi-Agent Systems and NegotiationEmbodied and Extended Cognition

Cited by 5

Emulated Empathy: Can Risks Be Countered by a Soft-Law Standard?

McStay, A. (2025) · IEEE Transactions on Technology and Society

Ethics and Social Impacts of AILiterary and Philosophical Studies

Cited by 5

A Novel Multi-Centroid Template Matching Algorithm and Its Application to Cough Detection

Zhang, S., Nemati, E., Ahmed, T., Rahman, M. M., Kuang, J., & Gao, A. (2021) · 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Time Series Analysis and ForecastingContext-Aware Activity Recognition Systems

Cited by 5

Improving Educational Quality Through Curriculum Development: An Empirical Investigation Using Stakeholder Feedback Data

Islam, A. (2019) · Journal of Education

Educational Management and QualityEducational Methods and Analysis

Cited by 5

A Taxonomy of Integration-Relevant Faults for Microservice Testing

Gregor, L., Hentschel, A., Kastner, L., & Pretschner, A. (2025) · 2025 IEEE Conference on Software Testing, Verification and Validation (ICST)

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 5

Application of Wavelet Transform in Image Processing in Aviation Engine Damage

Qin, Y. F., Cao, J. B., & Cao, J. Q. (2013) · Applied Mechanics and Materials

Image and Signal Denoising MethodsMachine Fault Diagnosis Techniques

Cited by 5

A novel connectivity of deep convolutional neural networks

Shen, Z., & Liu, Y. (2017) · 2017 Chinese Automation Congress (CAC)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 5

Limitations of Quantum Approximate Optimization in Solving Generic Higher-Order Constraint-Satisfaction Problems

Müller, T., Singh, A., Wilhelm, F. K., & Bode, T. (2024) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 5

Defect Detection in Ceramic Images Using Sigma Edge Information and Contour Tracking Method

Kim, K.-B., & Woo, Y. W. (2016) · International Journal of Electrical and Computer Engineering (IJECE)

Image and Object Detection TechniquesIndustrial Vision Systems and Defect Detection

Cited by 5