Check computer science papers: citations, claims and retractions

Novel Concept of the Transistor Variation Directed Toward the Circuit Implementation of Physical Unclonable Function (PUF) and True-random-number Generator (TRNG)

Xiao, Y., Hsieh, E. R., Chung, S. S., Chen, T. R., Huang, S. A., Chen, T. J., & Cheng, O. (2019) · 2019 IEEE International Electron Devices Meeting (IEDM)

Physical Unclonable Functions (PUFs) and Hardware SecurityLow-power high-performance VLSI design

Cited by 11

Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems

Mansoury, M., Abdollahpouri, H., Smith, J., Dehpanah, A., Pechenizkiy, M., & Mobasher, B. (2020) · arXiv

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 11

An annotation scheme for complex disfluencies

Heeman, P. A., McMillin, A., & Yaruss, J. S. (2006) · Interspeech 2006

Speech Recognition and SynthesisStuttering Research and Treatment

Cited by 11

Towards Geographic Inclusion in the Evaluation of Text-to-Image Models

Hall, M., Bell, S. J., Ross, C., Williams, A., Drozdzal, M., & Soriano, A. R. (2024) · The 2024 ACM Conference on Fairness Accountability and Transparency

Generative Adversarial Networks and Image SynthesisEthics and Social Impacts of AI

Cited by 11

Social Media Analytics for Stance Mining A Multi-Modal Approach with Weak Supervision

Kumar, S. (2020) · Carnegie Mellon University

Sentiment Analysis and Opinion MiningOpinion Dynamics and Social Influence

Cited by 11

Microservice Anomaly Detection Based on Tracing Data Using Semi-supervised Learning

Li, M., Tang, D., Wen, Z., & Cheng, Y. (2021) · 2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD)

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 11

Rating Roulette: Self-Inconsistency in LLM-As-A-Judge Frameworks

Haldar, R., & Hockenmaier, J. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Natural Language Processing TechniquesTopic Modeling

Cited by 11

Exploration and preference satisfaction trade-off in reward-free learning

Sajid, N., Tigas, P., Zakharov, A., Fountas, Z., & Friston, K. (2021) · arXiv

Reinforcement Learning in RoboticsEmbodied and Extended Cognition

Cited by 11

Clinical trial data-sharing policies among journals, funding agencies, foundations, and other professional organizations: a scoping review

Johnson, A. L., Anderson, J. M., Bouvette, M., Pinero, I., Rauh, S., Johnson, B., Kee, M., Heigle, B., Tricco, A. C., Page, M. J., et al. (2023) · Journal of Clinical Epidemiology

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 11

AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents

Andriushchenko, M., Souly, A., Dziemian, M., Duenas, D., Lin, M., Wang, J., Hendrycks, D., Zou, A., Kolter, Z., Fredrikson, M., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningAccess Control and Trust

Cited by 11

Multimodal supervised contrastive learning in remote sensing downstream tasks

Berg, P., Uzun, B., Pham, M.-T., & Courty, N. (2024) · IEEE Geoscience and Remote Sensing Letters

Remote-Sensing Image ClassificationRemote Sensing and Land Use

Cited by 11

After the (virtual) gold rush: is Bitcoin more than a speculative bubble?

Lambrecht, M., & Larue, L. (2018) · Internet Policy Review

Blockchain Technology Applications and SecurityEconomic Theory and Institutions

Cited by 11

When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Ranaldi, L., & Pucci, G. (2023) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 11

An Overview of Technological Revolution in Satellite Image Analysis

Department of Computer Science & Engineering, K. A. U., Jenice, A. R., Raimond, K., & Department of Computer Science & Engineering, K. A. U. (2016) · Journal of Engineering Science and Technology Review

Remote-Sensing Image ClassificationRemote Sensing and Land Use

Cited by 11

Containerization and Orchestration of Software for Autonomous Mobile Robots: a Case Study of Mixed-Criticality Tasks across Edge-Cloud Computing Platforms

Lumpp, F., Fummi, F., Patel, H. D., & Bombieri, N. (2022) · 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Real-Time Systems SchedulingIoT and Edge/Fog Computing

Cited by 11

PREVIR: Fortifying Vehicular Networks Against Denial of Service Attacks

Verma, A., Saha, R., Kumar, G., Conti, M., & Kim, T.-H. (2024) · IEEE Access

Network Security and Intrusion DetectionVehicular Ad Hoc Networks (VANETs)

Cited by 11

On the improbability of algorithmic specified complexity

Ewert, W., Marks, R. J., & Dembski, W. A. (2013) · 45th Southeastern Symposium on System Theory

Computability, Logic, AI AlgorithmsAlgorithms and Data Compression

Cited by 11

A Combined Full-Reference Image Quality Assessment Method Based on Convolutional Activation Maps

Varga, D. (2020) · Algorithms

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 11

HumanEvo: An Evolution-Aware Benchmark for More Realistic Evaluation of Repository-Level Code Generation

Zheng, D., Wang, Y., Shi, E., Zhang, R., Ma, Y., Zhang, H., & Zheng, Z. (2025) · 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 11

Learning from experience: A dynamic closed-loop QoE optimization for video adaptation and delivery

Triki, I., El-Azouzi, R., Haddad, M., Zhu, Q., & Xu, Z. (2017) · 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

Image and Video Quality AssessmentNetwork Traffic and Congestion Control

Cited by 11

Don’t Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information

Limisiewicz, T., & Mareček, D. (2022) · Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)

Ethics and Social Impacts of AIGender Studies in Language

Cited by 11

Exploring the Robustness of In-Context Learning with Noisy Labels

Cheng, C., Yu, X., Wen, H., Sun, J., Yue, G., Zhang, Y., & Wei, Z. (2025) · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Topic ModelingNatural Language Processing Techniques

Cited by 11

Secure and efficient parameters aggregation protocol for federated incremental learning and its applications

Wang, X., Liang, Z., Koe, A. S. V., Wu, Q., Zhang, X., Li, H., & Yang, Q. (2022) · International Journal of Intelligent Systems

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 11

Multiresolution neural networks for omnifont character recognition

Wang, J., & Jean, J. (2002) · IEEE International Conference on Neural Networks

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 11