Check computer science papers: citations, claims and retractions

Generalized Quantum Assisted Simulator

Haug, T., & Bharti, K. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 38

On the Relationship Between the Developer’s Perceptible Race and Ethnicity and the Evaluation of Contributions in OSS

Nadri, R., Rodríguez-Pérez, G., & Nagappan, M. (2022) · IEEE Transactions on Software Engineering

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 38

FPT: A Fixed-Point Accelerator for Torus Fully Homomorphic Encryption

Van Beirendonck, M., D'Anvers, J.-P., Turan, F., & Verbauwhede, I. (2023) · Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security

Cryptography and Data SecurityCryptographic Implementations and Security

Cited by 38

Answering Questions by Meta-Reasoning over Multiple Chains of Thought

Yoran, O., Wolfson, T., Bogin, B., Katz, U., Deutch, D., & Berant, J. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 38

Maximizing the impact of virtual reality exposure therapy for anxiety disorders

Anderson, P. L., & Molloy, A. (2020) · Current Opinion in Psychology

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 38

Backdoor attacks and defenses in feature-partitioned collaborative learning

Liu, Y., Yi, Z., & Chen, T. (2020) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 38

Multi-lingual Evaluation of Code Generation Models

Athiwaratkun, B., Gouda, S. K., Wang, Z., Li, X., Tian, Y., Tan, M., Ahmad, W. U., Wang, S., Sun, Q., Shang, M., et al. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 38

Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria

Wang, K., Lin, L., Yan, X., Chen, Z., Zhang, D., & Zhang, L. (2019) · IEEE Transactions on Neural Networks and Learning Systems

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 38

Weighted Quantization-Regularization in DNNs for Weight Memory Minimization Toward HW Implementation

Wess, M., Dinakarrao, S. M. P., & Jantsch, A. (2018) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 38

Homogenizing effect of large language models (LLMs) on creative diversity: An empirical comparison of human and ChatGPT writing

Moon, K., Green, A. E., & Kushlev, K. (2025) · Computers in Human Behavior: Artificial Humans

Ethics and Social Impacts of AICreativity in Education and Neuroscience

Cited by 38

AI Fairness for People with Disabilities: Point of View

Trewin, S. (2018) · arXiv

Ethics and Social Impacts of AIDisability Rights and Representation

Cited by 38

MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning

Chen, J., Prasad, A., Saha, S., Stengel-Eskin, E., & Bansal, M. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 38

The limits and potentials of deep learning for robotics

Sünderhauf, N., Brock, O., Scheirer, W., Hadsell, R., Fox, D., Leitner, J., Upcroft, B., Abbeel, P., Burgard, W., Milford, M., et al. (2018) · The International Journal of Robotics Research

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 38

Privacy lost: Appropriating surveillance technology in China’s fight against COVID-19

Liu, J., & Zhao, H. (2021) · Business Horizons

COVID-19 Digital Contact TracingPrivacy, Security, and Data Protection

Cited by 38

Multimodal emotion recognition model via hybrid model with improved feature level fusion on facial and EEG feature set

Singh, P., Tripathi, M. K., Patil, M. B., Shivendra, & Neelakantappa, M. (2024) · Multimedia Tools and Applications

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 38

Personalized training model for organizing blended and lifelong distance learning courses and its effectiveness in higher education

Bekmanova, G., Ongarbayev, Y., Somzhurek, B., & Mukatayev, N. (2021) · Journal of Computing in Higher Education

Intelligent Tutoring Systems and Adaptive LearningOnline and Blended Learning

Cited by 38

A longitudinal analysis of the public perception of the opportunities and challenges of the Internet of Things

Zubiaga, A., Procter, R., & Maple, C. (2018) · PLOS ONE

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 38

Hybrid Annealing Method Based on subQUBO Model Extraction With Multiple Solution Instances

Atobe, Y., Tawada, M., & Togawa, N. (2022) · IEEE Transactions on Computers

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 38

Dynamic alignment and fusion of multimodal physiological patterns for stress recognition

Zhang, X., Wei, X., Zhou, Z., Zhao, Q., Zhang, S., Yang, Y., Li, R., & Hu, B. (2024) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 38

The effects of adaptive learning in a massive open online course on learners' skill development

Rosen, Y., Rushkin, I., Rubin, R., Munson, L., Ang, A., Weber, G., Lopez, G., & Tingley, D. (2018) · Proceedings of the Fifth Annual ACM Conference on Learning at Scale

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 38

Decoder for the Triangular Color Code by Matching on a Möbius Strip

Sahay, K., & Brown, B. J. (2022) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 38

Taming Stable Diffusion for Text to 360° Panorama Image Generation

Zhang, C., Wu, Q., Gambardella, C. C., Huang, X., Phung, D., Ouyang, W., & Cai, J. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 38

On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing

Chellapandi, V. P., Upadhyay, A., Hashemi, A., & Żak, S. H. (2023) · IEEE Control Systems Letters

Privacy-Preserving Technologies in DataDistributed Control Multi-Agent Systems

Cited by 38

Differentiating Chat Generative Pretrained Transformer from Humans: Detecting ChatGPT-Generated Text and Human Text Using Machine Learning

Katib, I., Assiri, F. Y., Abdushkour, H. A., Hamed, D., & Ragab, M. (2023) · Mathematics

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 38