Check computer science papers: citations, claims and retractions

Graphic design and artificial intelligence: Interdisciplinary challenges for designers in the search for research collaboration

Meron, Y. (2022) · Proceedings of DRS

Digital Media and Visual ArtGraphic Design and Typography

Cited by 45

Prompt Injection Attacks in Large Language Models and AI Agent Systems: A Comprehensive Review of Vulnerabilities, Attack Vectors, and Defense Mechanisms

Gulyamov, S., Gulyamov, S., Rodionov, A., Khursanov, R., Mekhmonov, K., Babaev, D., & Rakhimjonov, A. (2026) · Information

Adversarial Robustness in Machine LearningWeb Application Security Vulnerabilities

Cited by 45

Dirac Cellular Automaton from Split-step Quantum Walk

Mallick, A., & Chandrashekar, C. M. (2016) · Scientific Reports

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 45

Big Heart Data: Advancing Health Informatics Through Data Sharing in Cardiovascular Imaging

Suinesiaputra, A., Medrano-Gracia, P., Cowan, B. R., & Young, A. A. (2015) · IEEE Journal of Biomedical and Health Informatics

Research Data Management PracticesCardiac Imaging and Diagnostics

Cited by 45

Abstraction-safe effect handlers via tunneling

Zhang, Y., & Myers, A. C. (2019) · Proceedings of the ACM on Programming Languages

Logic, programming, and type systemsTeaching and Learning Programming

Cited by 45

Exploring Adversarial Attacks in Federated Learning for Medical Imaging

Darzi, E., Dubost, F., Sijtsema, N. M., & van Ooijen, P. M. A. (2024) · IEEE Transactions on Industrial Informatics

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 45

Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks

Zhang, J., Wang, K., Wang, S., Li, M., Liu, H., Wei, S., Wang, Z., Zhang, Z., & Wang, H. (2025) · Robotics: Science and Systems XXI

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 45

AI-induced sexual harassment: Investigating Contextual Characteristics and User Reactions of Sexual Harassment by a Companion Chatbot

Namvarpour, M. (., Pauwels, H., & Razi, A. (2025) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIAI in Service Interactions

Cited by 45

NODLINK: An Online System for Fine-Grained APT Attack Detection and Investigation

Li, S., Dong, F., Xiao, X., Wang, H., Shao, F., Chen, J., Guo, Y., Chen, X., & Li, D. (2024) · Proceedings 2024 Network and Distributed System Security Symposium

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 45

A Multi-Classification Hybrid Quantum Neural Network Using an All-Qubit Multi-Observable Measurement Strategy

Zeng, Y., Wang, H., He, J., Huang, Q., & Chang, S. (2022) · Entropy

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 45

Systematic Review of Application of Artificial Intelligence Tools in Architectural, Engineering and Construction

Momade, M., Durdyev, S., Estrella, D., & Ismail, S. (2021) · Frontiers in Engineering and Built Environment

Artificial Intelligence ApplicationsBIM and Construction Integration

Cited by 45

Cyberbullying detection system on social media using supervised machine learning

Perera, A., & Fernando, P. (2024) · Procedia Computer Science

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

Cited by 45

AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction

Liu, B., Xue, N., Guo, H., Tang, R., Zafeiriou, S., He, X., & Li, Z. (2020) · Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 45

Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension

Lee, C.-H., Wu, S.-L., Liu, C.-L., & Lee, H.-Y. (2018) · Interspeech 2018

Speech Recognition and SynthesisTopic Modeling

Cited by 45

A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings

Zambrano Chaves, J. M., Huang, S.-C., Xu, Y., Xu, H., Usuyama, N., Zhang, S., Wang, F., Xie, Y., Khademi, M., Yang, Z., et al. (2025) · Nature Communications

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 45

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Shojaee, P., Mirzadeh, I., Alizadeh, K., Horton, M., Bengio, S., & Farajtabar, M. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 45

Investigating Data Contamination in Modern Benchmarks for Large Language Models

Deng, C., Zhao, Y., Tang, X., Gerstein, M., & Cohan, A. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 45

SMD-YOLO: An efficient and lightweight detection method for mask wearing status during the COVID-19 pandemic

Han, Z., Huang, H., Fan, Q., Li, Y., Li, Y., & Chen, X. (2022) · Computer Methods and Programs in Biomedicine

Advanced Neural Network ApplicationsFace recognition and analysis

Cited by 45

Using fine-tuned large language models to parse clinical notes in musculoskeletal pain disorders

Vaid, A., Landi, I., Nadkarni, G., & Nabeel, I. (2023) · The Lancet Digital Health

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 45

Exploring Eye Gaze Visualization Techniques for Identifying Distracted Students in Educational VR

Rahman, Y., Asish, S. M., Fisher, N. P., Bruce, E. C., Kulshreshth, A. K., & Borst, C. W. (2020) · 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

Gaze Tracking and Assistive TechnologyData Visualization and Analytics

Cited by 45

A review of explainable AI techniques and their evaluation in mammography for breast cancer screening

Shifa, N., Saleh, M., Akbari, Y., & Al Maadeed, S. (2025) · Clinical Imaging

Explainable Artificial Intelligence (XAI)AI in cancer detection

Cited by 45

Second-level NIST Randomness Tests for Improving Test Reliability

Pareschi, F., Rovatti, R., & Setti, G. (2007) · 2007 IEEE International Symposium on Circuits and Systems (ISCAS)

Cryptographic Implementations and SecurityChaos-based Image/Signal Encryption

Cited by 45

Xpert: empowering incident management with query recommendations via large language models

Jiang, Y., Zhang, C., He, S., Yang, Z., Ma, M., Qin, S., Kang, Y., Dang, Y., Rajmohan, S., Lin, Q., et al. (2024) · Proceedings of the IEEE/ACM 46th International Conference on Software Engineering

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 45

The Effects of Encumbrance and Mobility on Touch-Based Gesture Interactions for Mobile Phones

Ng, A., Williamson, J., & Brewster, S. (2015) · Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 45