Check computer science papers: citations, claims and retractions

The impact of visual and auditory distractions on the performance of neurodiverse students in virtual reality (VR) environments

Dahlstrom-Hakki, I., Alstad, Z., Asbell-Clarke, J., & Edwards, T. (2024) · Virtual Reality

Virtual Reality Applications and ImpactsNoise Effects and Management

Cited by 21

Tapered whisker reservoir computing for real-time terrain identification-based navigation

Yu, Z., Sadati, S. M. H., Perera, S., Hauser, H., Childs, P. R. N., & Nanayakkara, T. (2023) · Scientific Reports

Neural Networks and Reservoir ComputingControl and Dynamics of Mobile Robots

Cited by 21

Human or Not? A Gamified Approach to the Turing Test

Jannai, D., Meron, A., Lenz, B., Levine, Y., & Shoham, Y. (2023) · arXiv

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 21

Towards Modelling and Reasoning About Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces

Bamgboye, O., Liu, X., & Cruickshank, P. (2018) · 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)

Semantic Web and OntologiesContext-Aware Activity Recognition Systems

Cited by 21

Blockchain-based System Evaluation: The Effectiveness of Blockchain on E-Procurements

Technological University of the Philippines, P., & Thio-ac, A. (2019) · International Journal of Advanced Trends in Computer Science and Engineering

Blockchain Technology Applications and SecurityPublic Procurement and Policy

Cited by 21

Adaptive Plasticity Improvement for Continual Learning

Liang, Y.-S., & Li, W.-J. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 21

How to deal with risks of AI suffering

Dung, L. (2025) · Inquiry

Ethics and Social Impacts of AIPhilosophical Ethics and Theory

Cited by 21

Synthesis and analysis of automatic assessment methods in CS1: generating intelligent MCQs

Traynor, D., & Gibson, J. P. (2005) · ACM SIGCSE Bulletin

Teaching and Learning ProgrammingEducational Technology and Assessment

Cited by 21

Mitigating noise in digital and digital-analog quantum computation

García-Molina, P., Martin, A., de Andoin, M. G., & Sanz, M. (2021) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 21

Measuring the acceptable word error rate of machine-generated webcast transcripts

Munteanu, C., Penn, G., Baecker, R., Toms, E., & James, D. (2006) · Interspeech 2006

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 21

Open science practices need substantial improvement in prognostic model studies in oncology using machine learning

Collins, G. S., Whittle, R., Bullock, G. S., Logullo, P., Dhiman, P., de Beyer, J. A., Riley, R. D., & Schlussel, M. M. (2024) · Journal of Clinical Epidemiology

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 21

Active learning of driving scenario trajectories

Jarl, S., Aronsson, L., Rahrovani, S., & Chehreghani, M. H. (2022) · Engineering Applications of Artificial Intelligence

Machine Learning and AlgorithmsAutonomous Vehicle Technology and Safety

Cited by 21

Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations

Binder, A., Weber, L., Lapuschkin, S., Montavon, G., Müller, K.-R., & Samek, W. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 21

A Note on Fundamental Limit of Quantum Dynamics Rate

Shuang-Shuang, F., Nan, L., & Shun-Long, L. (2010) · Communications in Theoretical Physics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 21

On the development and validation of large language model-based classifiers for identifying social determinants of health

Gabriel, R. A., Litake, O., Simpson, S., Burton, B. N., Waterman, R. S., & Macias, A. A. (2024) · Proceedings of the National Academy of Sciences

Machine Learning in HealthcareMental Health via Writing

Cited by 21

Data Playwright: Authoring Data Videos With Annotated Narration

Shen, L., Li, H., Wang, Y., Luo, T., Luo, Y., & Qu, H. (2025) · IEEE Transactions on Visualization and Computer Graphics

Data Visualization and AnalyticsDigital Media and Visual Art

Cited by 21

Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks

Sheikholeslami, F., Jain, S., & Giannakis, G. B. (2020) · 2020 Information Theory and Applications Workshop (ITA)

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 21

Executable formal semantics for the POSIX shell

Greenberg, M., & Blatt, A. J. (2020) · Proceedings of the ACM on Programming Languages

Logic, programming, and type systemsSoftware Testing and Debugging Techniques

Cited by 21

Age detection in chat

Tam, J., & Martell, C. H. (2009) · 2009 IEEE International Conference on Semantic Computing

Authorship Attribution and ProfilingMental Health via Writing

Cited by 21

Humanoid Agents: Platform for Simulating Human-like Generative Agents

Wang, Z., Chiu, Y. Y., & Chiu, Y. C. (2023) · arXiv

Psychiatry, Mental Health, NeuroscienceMulti-Agent Systems and Negotiation

Cited by 21

Correctness is not Faithfulness in Retrieval Augmented Generation Attributions

Wallat, J., Heuss, M., Rijke, M. D., & Anand, A. (2025) · Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR)

Information Retrieval and Search BehaviorTopic Modeling

Cited by 21

Crowdsourced audit of Twitter’s recommender systems

Bouchaud, P., Chavalarias, D., & Panahi, M. (2023) · Scientific Reports

Ethics and Social Impacts of AIMisinformation and Its Impacts

Cited by 21

The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice

Bell, A., Bynum, L., Drushchak, N., Zakharchenko, T., Rosenblatt, L., & Stoyanovich, J. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 21

Computer Methods for Automatic Locomotion and Gesture Tracking in Mice and Small Animals for Neuroscience Applications: A Survey

Abbas, W., & Masip Rodo, D. (2019) · Sensors

Human Pose and Action RecognitionVideo Surveillance and Tracking Methods

Cited by 21