Check computer science papers: citations, claims and retractions

Measuring Software Delivery Performance Using the Four Key Metrics of DevOps

Sallin, M., Kropp, M., Anslow, C., Quilty, J. W., & Meier, A. (2021) · Lecture Notes in Business Information Processing

Software Engineering Techniques and PracticesSoftware System Performance and Reliability

Cited by 20

ADD 2023: the Second Audio Deepfake Detection Challenge

Yi, J., Tao, J., Fu, R., Yan, X., Wang, C., Wang, T., Zhang, C. Y., Zhang, X., Zhao, Y., Ren, Y., et al. (2023) · arXiv

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 20

Social Networks Mining for Analysis and Modeling Drugs Usage

Yakushev, A., & Mityagin, S. (2014) · Procedia Computer Science

Information Retrieval and Data MiningCybercrime and Law Enforcement Studies

Cited by 20

Mobile-kube: mobility-aware and energy-efficient service orchestration on kubernetes edge servers

Ghafouri, S., Karami, A., Bakhtiarvan, D. B., Bigdeli, A. S., Gill, S. S., & Doyle, J. (2022) · 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 20

Using deep learning and electronic health records to detect Noonan syndrome in pediatric patients

Yang, Z., Shikany, A., Ni, Y., Zhang, G., Weaver, K. N., & Chen, J. (2022) · Genetics in Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 20

Agents4plc: Automating closed-loop plc code generation and verification in industrial control systems using llm-based agents

Liu, Z., Zeng, R., Wang, D., Peng, G., Liu, X., Liu, Q., Liu, P., Wang, W., & Wang, J. (2026) · IEEE Transactions on Software Engineering

Software Engineering ResearchIndustrial Automation and Control Systems

Cited by 20

Why are Visually-Grounded Language Models Bad at Image Classification?

Zhang, Y., Unell, A., Wang, X., Ghosh, D., Su, Y., Schmidt, L., & Yeung-Levy, S. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 20

Generative AI in Computer Science Education: Challenges and Opportunities

Franklin, D., Denny, P., Gonzalez-Maldonado, D. A., & Tran, M. (2025) · Cambridge University Press eBooks

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 20

$S^3$: Increasing GPU Utilization during Generative Inference for Higher Throughput

Jin, Y., Wu, C.-F., Brooks, D., & Wei, G.-Y. (2023) · Advances in Neural Information Processing Systems 36

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 20

Identifying the Factors That Influence Trust in AI Code Completion

Brown, A., D'Angelo, S., Murillo, A., Jaspan, C., & Green, C. (2024) · Proceedings of the 1st ACM International Conference on AI-Powered Software

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 20

Dominant Reaction Pathways by Quantum Computing

Hauke, P., Mattiotti, G., & Faccioli, P. (2021) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureTheoretical and Computational Physics

Cited by 20

Logical Randomized Benchmarking

Combes, J., Granade, C., Ferrie, C., & Flammia, S. T. (2017) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 20

Shor's algorithm with fewer (pure) qubits

Zalka, C. (2006) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 20

A chaos-based augmented image encryption scheme for satellite images using Fredkin logic

Alexan, W., Maher, E. A., Mamdouh, E., Youssef, M., & Ehab, N. (2025) · Scientific Reports

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 20

Why we need biased AI: How including cognitive biases can enhance AI systems

Hagendorff, T., & Fabi, S. (2024) · Journal of Experimental & Theoretical Artificial Intelligence

Psychiatry, Mental Health, NeuroscienceEthics and Social Impacts of AI

Cited by 20

Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision

Lee, S., Park, S. H., Jo, Y., & Seo, M. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 20

Joint Age Estimation and Gender Classification of Asian Faces Using Wide ResNet

Huynh, H. T., & Nguyen, H. (2020) · SN Computer Science

Face recognition and analysisForensic Anthropology and Bioarchaeology Studies

Cited by 20

Automated Knowledge Organization AI ML based Subject Indexing System for Libraries

Ahmed, M., Mukhopadhyay, M., & Mukhopadhyay, P. (2023) · DESIDOC Journal of Library & Information Technology

Library Science and Information SystemsAdvanced Text Analysis Techniques

Cited by 20

A Cost and Power Feasibility Analysis of Quantum Annealing for NextG Cellular Wireless Networks

Kasi, S., Warburton, P., Kaewell, J., & Jamieson, K. (2023) · IEEE Transactions on Quantum Engineering

Quantum Computing Algorithms and ArchitectureAdvanced MIMO Systems Optimization

Cited by 20

PheValuator 2.0: methodological improvements for the PheValuator approach to semi-automated phenotype algorithm evaluation.

Swerdel, J. N., Schuemie, M., Murray, G., & Ryan, P. B. (2022) · Journal of Biomedical Informatics

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 20

Towards Improving Faithfulness in Abstractive Summarization

Chen, X., Li, M., Gao, X., & Zhang, X. (2022) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 20

SEDM: Selective Self-Evolving Distributed Memory for Agents

Liu, Y., Min, A., Wang, Y., Yao, Y., Han, Y., Zhang, R., He, J., Li, Z., Qi, Y., Xu, H., et al. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 20

Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA

Mo, W., & Liu, Y. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 20

Reinforced Prompt Personalization for Recommendation with Large Language Models

Mao, W., Wu, J., Chen, W., Gao, C., Wang, X., & He, X. (2025) · ACM Transactions on Information Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 20