Check computer science papers: citations, claims and retractions

Development and Validation of the Programming Anxiety Scale

YILDIRIM, O. G., & OZDENER, N. (2022) · International Journal of Computer Science Education in Schools

Teaching and Learning ProgrammingGender and Technology in Education

Cited by 18

Plan execution monitoring through detection of unmet expectations about action outcomes

Mendoza, J. P., Veloso, M., & Simmons, R. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 18

Blockchain-Integrated Secure Authentication Framework for Smart Grid IoT Using Energy-Aware Consensus Mechanisms

Saleh, O. A., & Cevik, M. (2025) · Sensors

Blockchain Technology Applications and SecurityAdvanced Authentication Protocols Security

Cited by 18

Cause and Effect: Can Large Language Models Truly Understand Causality?

Ashwani, S., Hegde, K., Reddy Mannuru, N., Singh Sengar, D., Jindal, M., Chaitanya Rao Kathala, K., Banga, D., Jain, V., & Chadha, A. (2024) · Proceedings of the AAAI Symposium Series

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 18

3DP3: 3D Scene Perception via Probabilistic Programming

Gothoskar, N., Cusumano-Towner, M., Zinberg, B., Ghavamizadeh, M., Pollok, F., Garrett, A., Tenenbaum, J. B., Gutfreund, D., & Mansinghka, V. K. (2021) · arXiv

3D Shape Modeling and AnalysisRobot Manipulation and Learning

Cited by 18

Realtime Vehicle Tracking Method Based on YOLOv5 + DeepSORT

Lin, L., He, H., Xu, Z., & Wu, D. (2023) · Computational Intelligence and Neuroscience

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 18

Developing Novice Programmers’ Self-Regulation Skills with Code Replays

Xie, B., Lim, J. O., Pham, P. K. D., Li, M., & Ko, A. J. (2023) · Proceedings of the 2023 ACM Conference on International Computing Education Research V.1

Teaching and Learning ProgrammingInnovative Teaching and Learning Methods

Cited by 18

A New Active Queue Management Algorithm Based on Self-Adaptive Fuzzy Neural-Network PID Controller

Yan, Q., & Lei, Q. (2011) · 2011 International Conference on Internet Technology and Applications

Network Traffic and Congestion ControlTraffic control and management

Cited by 18

Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results

Danesh, M. H., & Fern, A. (2021) · arXiv

Reinforcement Learning in RoboticsAnomaly Detection Techniques and Applications

Cited by 18

Physical human locomotion prediction using manifold regularization

Javeed, M., Shorfuzzaman, M., Alsufyani, N., Chelloug, S. A., Jalal, A., & Park, J. (2022) · PeerJ Computer Science

Context-Aware Activity Recognition SystemsHuman Motion and Animation

Cited by 18

Genie: Show Me the Data for Quantization

Jeon, Y., Lee, C., & Kim, H.-Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 18

Online partial deduction of logic programs

Prestwich, S. (1993) · Proceedings of the 1993 ACM SIGPLAN symposium on Partial evaluation and semantics-based program manipulation - PEPM '93

Logic, programming, and type systemsLogic, Reasoning, and Knowledge

Cited by 18

BooookScore: A systematic exploration of book-length summarization in the era of LLMs

Chang, Y., Lo, K., Goyal, T., & Iyyer, M. (2023) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 18

Time-on-Task Metrics for Predicting Performance

Leinonen, J., Castro, F. E. V., & Hellas, A. (2022) · Proceedings of the 53rd ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingOnline Learning and Analytics

Cited by 18

CSCW challenges in large-scale technical projects---a case study

Grønbæk, K., Kyng, M., & Mogensen, P. (1992) · Proceedings of the 1992 ACM conference on Computer-supported cooperative work - CSCW '92

Usability and User Interface DesignSoftware Engineering Techniques and Practices

Cited by 18

Icons in mobile phones: Comprehensibility differences between older and younger users

Koutsourelakis, C., & Chorianopoulos, K. (2010) · Information Design Journal

Usability and User Interface DesignTechnology Use by Older Adults

Cited by 18

PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter

Yang, H., Li, Z., Zhang, Y., Wang, J., Cheng, N., Li, M., & Xiao, J. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 18

Machine Unlearning for Image Retrieval: A Generative Scrubbing Approach

Zhang, P.-F., Bai, G., Huang, Z., & Xu, X.-S. (2022) · Proceedings of the 30th ACM International Conference on Multimedia

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 18

Privacy preserving data publishing of categorical data through k ‐anonymity and feature selection

Aristodimou, A., Antoniades, A., & Pattichis, C. S. (2016) · Healthcare Technology Letters

Privacy-Preserving Technologies in DataData Quality and Management

Cited by 18

Best practice framework for information technology security governance in Indonesian government

Yuliana, R., & Arifin Hasibuan, Z. (2022) · International Journal of Electrical and Computer Engineering (IJECE)

Information and Cyber SecurityInformation Technology Governance and Strategy

Cited by 18

Explainable Deepfake and Spoofing Detection: An Attack Analysis Using SHapley Additive exPlanations

Ge, W., Todisco, M., & Evans, N. (2022) · The Speaker and Language Recognition Workshop (Odyssey 2022)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 18

Automating intellectual freedom: Artificial intelligence, bias, and the information landscape

Smith, C. (2022) · IFLA Journal

Ethics and Social Impacts of AILibrary Science and Information Systems

Cited by 18

Prompt Cache: Modular Attention Reuse for Low-Latency Inference

Gim, I., Chen, G., Lee, S.-S., Sarda, N., Khandelwal, A., & Zhong, L. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

Toward a Theory of Causation for Interpreting Neural Code Models

Nader Palacio, D., Velasco, A., Cooper, N., Rodriguez, A., Moran, K., & Poshyvanyk, D. (2024) · IEEE Transactions on Software Engineering

Explainable Artificial Intelligence (XAI)Software Engineering Research

Cited by 18