Check computer science papers: citations, claims and retractions

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

Wang, D., Li, M., Gong, C., & Chandra, V. (2020) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 10

Statistical modeling of power/energy of scientific kernels on a multi-GPU system

Ghosh, S., Chandrasekaran, S., & Chapman, B. (2013) · 2013 International Green Computing Conference Proceedings

Parallel Computing and Optimization TechniquesEnergy Efficiency in Computing

Cited by 10

Adapting Mintzberg’s organizational theory to DeSci: the decentralized science pyramid framework

Weidener, L., Greilich, K., & Melnykowycz, M. (2024) · Frontiers in Blockchain

Blockchain Technology Applications and SecurityResearch, Science, and Academia

Cited by 10

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Putta, P., Mills, E., Garg, N., Motwani, S., Finn, C., Garg, D., & Rafailov, R. (2024) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 10

RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

Zhang, F., Chen, B., Zhang, Y., Keung, J., Liu, J., Zan, D., Mao, Y., Lou, J.-G., & Chen, W. (2023) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 10

Controllability and universal three-qubit quantum computation with trapped electron states

Pedersen, L. H., & Rangan, C. (2008) · Quantum Information Processing

Quantum Computing Algorithms and ArchitectureQuantum and electron transport phenomena

Cited by 10

Progressive Learning of Low-Precision Networks for Image Classification

Zhou, Z., Zhou, W., Lv, X., Huang, X., Wang, X., & Li, H. (2021) · IEEE Transactions on Multimedia

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 10

Model to reduce DevOps pipeline execution time using SAST

Saurabh, S. K., & Kumar, D. (2024) · International Journal of System Assurance Engineering and Management

Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities

Cited by 10

Security of Language Models for Code: A Systematic Literature Review

Chen, Y., Sun, W., Fang, C., Chen, Z., Ge, Y., Han, T., Zhang, Q., Liu, Y., Chen, Z., & Xu, B. (2026) · ACM Transactions on Software Engineering and Methodology

Adversarial Robustness in Machine LearningSoftware Engineering Research

Cited by 10

Mitigating the Alignment Tax of RLHF

Lin, Y., Lin, H., Xiong, W., Diao, S., Liu, J., Zhang, J., Pan, R., Wang, H., Hu, W., Zhang, H., et al. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 10

Bias-field digitized counterdiabatic quantum optimization

Cadavid, A. G., Dalal, A., Simen, A., Solano, E., & Hegade, N. N. (2025) · Physical Review Research

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 10

Unsupervised Quality Estimation for Neural Machine Translation

Fomicheva, M., Sun, S., Yankovskaya, L., Blain, F., Guzmán, F., Fishel, M., Aletras, N., Chaudhary, V., & Specia, L. (2020) · Transactions of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 10

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization

Yuan, Z., Yang, S., Hua, P., Chang, C., Hu, K., & Xu, H. (2023) · Advances in Neural Information Processing Systems 36

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 10

Provably safe systems: the only path to controllable AGI

Tegmark, M., & Omohundro, S. (2023) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 10

iCyberGuard: A FlipIt Game for Enhanced Cybersecurity in IIoT

Chen, X., Cao, W., Chen, L., Han, J., Yang, M., Wang, Z., & Wang, F.-Y. (2024) · IEEE Transactions on Computational Social Systems

Information and Cyber SecuritySmart Grid Security and Resilience

Cited by 10

Adversarial NLI for Factual Correctness in Text Summarisation Models

Barrantes, M., Herudek, B., & Wang, R. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

Supporting presentation techniques based on virtual humans in educational virtual worlds

Chittaro, L., Ieronutti, L., & Rigutti, S. (2005) · 2005 International Conference on Cyberworlds (CW'05)

Virtual Reality Applications and ImpactsIntelligent Tutoring Systems and Adaptive Learning

Cited by 10

REVEL Framework to Measure Local Linear Explanations for Black‐Box Models: Deep Learning Image Classification Case Study

Sevillano-García, I., Luengo, J., & Herrera, F. (2023) · International Journal of Intelligent Systems

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 10

A 3-Dimensional Histology Computer Model of Malignant Melanoma and Its Implications for Digital Pathology

Kurz, A., Krahl, D., Kutzner, H., Barnhill, R., Perasole, A., Figueras, M. T. F., Ferrara, G., Braun, S. A., Starz, H., Llamas-Velasco, M., et al. (2023) · European Journal of Cancer

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 10

Maximum sustainable throughput evaluation using an adaptive method for stream processing platforms

Chu, Z., Yu, J., & Hamdull, A. (2020) · IEEE Access

Advanced Database Systems and QueriesParallel Computing and Optimization Techniques

Cited by 10

Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections

Rohekar, R. Y., Gurwicz, Y., Nisimov, S., & Novik, G. (2019) · arXiv

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

Cited by 10

A Lifecycle-Oriented Survey of Emerging Threats and Vulnerabilities in Large Language Models

de Maio, C., Di Gisi, M., Fenza, G., Gallo, M., & Loia, V. (2025) · IEEE Access

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 10

SourceFinder: Finding Malware Source-Code from Publicly Available Repositories

Rokon, M. O. F., Islam, R., Darki, A., Papalexakis, V. E., & Faloutsos, M. (2020) · arXiv

Advanced Malware Detection TechniquesSoftware Engineering Research

Cited by 10

Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery

Huo, Z., PakBin, A., Chen, X., Hurley, N., Yuan, Y., Qian, X., Wang, Z., Huang, S., & Mortazavi, B. (2020) · arXiv

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 10