Check computer science papers: citations, claims and retractions

Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images

Zhang, J., Cao, Y., Wang, Y., Wen, C., & Chen, C. W. (2018) · Proceedings of the 26th ACM international conference on Multimedia

Advanced Neural Network ApplicationsImage Enhancement Techniques

Cited by 40

Knowledge graph-extended retrieval augmented generation for question answering

Linders, J., & Tomczak, J. M. (2025) · Applied Intelligence

Topic ModelingMultimodal Machine Learning Applications

Cited by 40

TreEnhance: A Tree Search Method For Low-Light Image Enhancement

Cotogni, M., & Cusano, C. (2022) · arXiv

Image Enhancement TechniquesAdvanced Image Processing Techniques

Cited by 40

AI Should Challenge, Not Obey

Sarkar, A. (2024) · Communications of the ACM

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 40

From Offloading to Engagement: An Experimental Study on Structured Prompting and Critical Reasoning with Generative AI

Gerlich, M. (2025) · Data

Ethics and Social Impacts of AIHuman-Automation Interaction and Safety

Cited by 40

Augmented Reality Based Educational Design for Children

Sun, M., Wu, X., Fan, Z., & Dong, L. (2019) · International Journal of Emerging Technologies in Learning (iJET)

Augmented Reality ApplicationsInteractive and Immersive Displays

Cited by 39

Detecting periodicities with Gaussian processes

Durrande, N., Hensman, J., Rattray, M., & Lawrence, N. D. (2016) · PeerJ Computer Science

Gaussian Processes and Bayesian InferenceMathematical Analysis and Transform Methods

Cited by 39

Challenges in Task Incremental Learning for Assistive Robotics

Feng, F., Chan, R. H. M., Shi, X., Zhang, Y., & She, Q. (2020) · IEEE Access

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 39

Context Length Alone Hurts LLM Performance Despite Perfect Retrieval

Du, Y., Tian, M., Ronanki, S., Rongali, S., Bodapati, S. B., Galstyan, A., Wells, A., Schwartz, R., Huerta, E. A., & Peng, H. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Topic ModelingInformation Retrieval and Search Behavior

Cited by 39

Exploiting Symmetry Reduces the Cost of Training QAOA

Shaydulin, R., & Wild, S. M. (2021) · IEEE Transactions on Quantum Engineering

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 39

Gene name errors: Lessons not learned

Abeysooriya, M., Soria, M., Kasu, M. S., & Ziemann, M. (2021) · PLOS Computational Biology

Research Data Management PracticesBiomedical Text Mining and Ontologies

Cited by 39

Prompt Injection Attack to Tool Selection in LLM Agents

Shi, J., Yuan, Z., Tie, G., Zhou, P., Gong, N., & Sun, L. (2026) · Proceedings 2026 Network and Distributed System Security Symposium

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 39

LogDC: Problem Diagnosis for Declartively-Deployed Cloud Applications with Log

Xu, J., Chen, P., Yang, L., Meng, F., & Wang, P. (2017) · 2017 IEEE 14th International Conference on e-Business Engineering (ICEBE)

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 39

Explainability and AI Confidence in Clinical Decision Support Systems: Effects on Trust, Diagnostic Performance, and Cognitive Load in Breast Cancer Care

Rezaeian, O., Bayrak, A. E., & Asan, O. (2026) · International Journal of Human–Computer Interaction

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 39

EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation

Tan, S., Ji, B., & Pan, Y. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisSpeech and Audio Processing

Cited by 39

Normal brain volume measurements using multispectral MRI segmentation

Vaidyanathan, M., Clarke, L. P., Heidtman, C., Velthuizen, R. P., & Hall, L. O. (1997) · Magnetic Resonance Imaging

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 39

On the Kolmogorov-Chaitin Complexity for short sequences

Delahaye, J.-P., & Zenil, H. (2007) · Randomness and Complexity, From Leibniz to Chaitin

Computability, Logic, AI AlgorithmsAlgorithms and Data Compression

Cited by 39

Understanding Unintended Memorization in Language Models Under Federated Learning

Thakkar, O. D., Ramaswamy, S., Mathews, R., & Beaufays, F. (2021) · Proceedings of the Third Workshop on Privacy in Natural Language Processing

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 39

Explainability and AI confidence in clinical decision support systems: effects on trust, diagnostic performance, and cognitive load in breast Cancer care

Rezaeian, O., Bayrak, A. E., & Asan, O. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 39

Calibrating Factual Knowledge in Pretrained Language Models

Dong, Q., Dai, D., Song, Y., Xu, J., Sui, Z., & Li, L. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Topic ModelingMultimodal Machine Learning Applications

Cited by 39

Systems and precision medicine approaches to diabetes heterogeneity: a Big Data perspective

Capobianco, E. (2017) · Clinical and Translational Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 39

To ChatGPT, or not to ChatGPT: That is the question!

Pegoraro, A., Kumari, K., Fereidooni, H., & Sadeghi, A.-R. (2023) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 39

Beyond HCI: The Need for Accessibility Across the CS Curriculum

Elglaly, Y. N., Baker, C. M., Ross, A. S., & Shinohara, K. (2024) · Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingInformation Systems Education and Curriculum Development

Cited by 39

Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network

Diffenderfer, J., & Kailkhura, B. (2021) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 39