Check computer science papers: citations, claims and retractions

Big data clustering techniques based on Spark: a literature review

Saeed, M. M., Al Aghbari, Z., & Alsharidah, M. (2020) · PeerJ Computer Science

Advanced Clustering Algorithms ResearchCloud Computing and Resource Management

Cited by 48

Predicting age and gender by keystroke dynamics and mouse patterns

Pentel, A. (2017) · Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization

User Authentication and Security SystemsGaze Tracking and Assistive Technology

Cited by 48

Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning

Chen, Z., Zhou, Q., Shen, Y., Hong, Y., Sun, Z., Gutfreund, D., & Gan, C. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge

Cited by 48

Replication in computing education research: researcher attitudes and experiences

Ahadi, A., Hellas, A., Ihantola, P., Korhonen, A., & Petersen, A. (2016) · Proceedings of the 16th Koli Calling International Conference on Computing Education Research

Teaching and Learning ProgrammingEducational Research and Methods

Cited by 48

Human-Centered AI Design in Reality: A Study of Developer Companies’ Practices

Hartikainen, M., Väänänen, K., Lehtiö, A., Ala-Luopa, S., & Olsson, T. (2022) · Nordic Human-Computer Interaction Conference

Software Engineering Techniques and PracticesUsability and User Interface Design

Cited by 48

Embodied Amodal Recognition: Learning to Move to Perceive Objects

Yang, J., Ren, Z., Xu, M., Chen, X., Crandall, D., Parikh, D., & Batra, D. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsRobot Manipulation and Learning

Cited by 48

Knowledge from the Original Network: Restore a Better Pruned Network with Knowledge Distillation

Chen, L., Chen, Y., Xi, J., & Le, X. (2022) · Complex & Intelligent Systems

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 48

Exploring the Impact of Temperature on Large Language Models:Hot or Cold?

Li, L., Sleem, L., Gentile, N., Nichil, G., & State, R. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 48

Listener agent for elderly people with dementia

Sakai, Y., Nonaka, Y., Yasuda, K., & Nakano, Y. I. (2012) · Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 47

Quantum variational optimization: The role of entanglement and problem hardness

Díez-Valle, P., Porras, D., & García-Ripoll, J. J. (2021) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 47

Understanding the planning of LLM agents: A survey

Huang, X., Liu, W., Chen, X., Wang, X., Wang, H., Lian, D., Wang, Y., Tang, R., & Chen, E. (2024) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 47

On the number of spurious memories in the Hopfield model (neural network)

Bruck, J., & Roychowdhury, V. P. (1990) · IEEE Transactions on Information Theory

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 47

Unlearning Protected User Attributes in Recommendations with Adversarial Training

Ganhör, C., Penz, D., Rekabsaz, N., Lesota, O., & Schedl, M. (2022) · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 47

Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues

Das, A., Selek, S., Warner, A. R., Zuo, X., Hu, Y., Kuttichi Keloth, V., Li, J., Zheng, W. J., & Xu, H. (2022) · Proceedings of the 21st Workshop on Biomedical Language Processing

Speech and dialogue systemsDigital Mental Health Interventions

Cited by 47

What is it like to program with artificial intelligence?

Sarkar, A., Gordon, A. D., Negreanu, C., Poelitz, C., Ragavan, S. S., & Zorn, B. (2022) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 47

Homo agenticus in the age of agentic AI: Agency loops, power displacement, and the circulation of responsibility

Leonardi, P. M. (2025) · Information and Organization

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 47

Information security governance in the public sector: investigations, approaches, measures, and trends

Magnusson, L., Iqbal, S., Elm, P., & Dalipi, F. (2025) · International Journal of Information Security

Information and Cyber SecurityInformation Technology Governance and Strategy

Cited by 47

A Literature Review on RSA, DES and AES Encryption Algorithms

Sood, R., & Kaur, H. (2023) · Emerging Trends in Engineering and Management

Cryptographic Implementations and SecurityCryptography and Data Security

Cited by 47

An Overview of Digital Watermarking in Image Forensics

Zhou, G., & Lv, D. (2011) · 2011 Fourth International Joint Conference on Computational Sciences and Optimization

Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection

Cited by 47

Scaling Data-Constrained Language Models

Muennighoff, N., Rush, A., Barak, B., Scao, T. L., Tazi, N., Piktus, A., Pyysalo, S., Wolf, T., & Raffel, C. (2023) · Advances in Neural Information Processing Systems 36

Topic ModelingNatural Language Processing Techniques

Cited by 47

Conversational End-to-End TTS for Voice Agents

Guo, H., Zhang, S., Soong, F. K., He, L., & Xie, L. (2021) · 2021 IEEE Spoken Language Technology Workshop (SLT)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 47

WAP: understanding the brain at software debugging

Duraes, J., Madeira, H., Castelhano, J., Duarte, C., & Branco, M. C. (2016) · 2016 IEEE 27th International Symposium on Software Reliability Engineering (ISSRE)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 47

Detecting Malicious Model Updates from Federated Learning on Conditional Variational Autoencoder

Gu, Z., & Yang, Y. (2021) · 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 47

Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning

Chen, X., Boratko, M., Chen, M., Dasgupta, S. S., Li, X. L., & McCallum, A. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Advanced Graph Neural NetworksTopic Modeling

Cited by 47