Check computer science papers: citations, claims and retractions

SonicVerse: Multi-Task Learning for Music Feature-Informed Captioning

Chopra, A., Roy, A., & Herremans, D. (2025) · arXiv

Music and Audio ProcessingMusic Technology and Sound Studies

Cited by 3

Artificial intelligence in intensive care units: a scoping review addressing the translational gap to clinical practice

Zarantonello, F., De Cassai, A., Pettenuzzo, T., Sella, N., Mormando, G., Bolzon, A., Fulvio, G. A., Bertoncello, C. A., & Boscolo, A. (2026) · Korean journal of anesthesiology

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 3

An approach for a national ehealth implementation - the case of modular interactive tiles for rehabilitation

Lund, H. H., Jensen, L. S. D., Ssessanga, Y., Cataldo, S., & Yahya-Malima, K. I. (2015) · 2015 IST-Africa Conference

ICT in Developing CommunitiesMobile Health and mHealth Applications

Cited by 3

Emergency services sector

Küfeoğlu, S., & Akgün, A. T. (2023) · Cyber Resilience in Critical Infrastructure

Information and Cyber SecurityCybersecurity and Cyber Warfare Studies

Cited by 3

Multimodal Emotion Recognition for Hearing-impaired Subjects by Fusing EEG Signals and Facial Expressions

Chen, Y., Bai, Z., Cheng, M., Liu, Y., Zhao, X., & Song, Y. (2023) · 2023 42nd Chinese Control Conference (CCC)

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 3

From Users to Creators: Motivations, Implementation, and Impacts of Augmented and Virtual Reality in Science and Engineering Projects in K-12 Education

Eloy, A., Anna C. M., Q., de Deus Lopes, R., & Zuffo, M. K. (2022) · 2022 8th International Conference of the Immersive Learning Research Network (iLRN)

Augmented Reality ApplicationsVirtual Reality Applications and Impacts

Cited by 3

Double Backdoored: Converting Code Large Language Model Backdoors to Traditional Malware via Adversarial Instruction Tuning Attacks

Hossen, M. I., Chilukoti, S. V., Shan, L., Chen, S., Cao, Y., & Hei, X. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 3

When Can AI Models Explain Learning? Validity Criteria for AI as Cognitive Models in Education

Wang, P., Viberg, O., Law, E. L.-C., & Greiff, S. (2026) · Educational Psychology Review

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 3

Buttressing the power of entity relationships model in database structure and information visualization: Insights from the Technology Association of Georgia’s Digital Health Ecosystem

Mbanugo, O. J., Taylor, A., & Sneha, S. (2025) · World Journal of Advanced Research and Reviews

Engineering and Information TechnologyDecision Support System Applications

Cited by 3

Robust Anomaly Diagnosis in Heterogeneous Microservices Systems under Variable Invocations

Yang, J., Guo, Y., Chen, Y., Zhao, Y., Lu, Z., & Liang, Y. (2022) · GLOBECOM 2022 - 2022 IEEE Global Communications Conference

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 3

EditLens: Quantifying the Extent of AI Editing in Text

Thai, K., Emi, B., Masrour, E., & Iyyer, M. (2025) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 3

SSPV: Self-time Synchronization Protocol for Vehicular Networks

Elsharief, M., El-Gawad, M. A. A., & Kim, H. (2020) · 2020 International Conference on Electronics, Information, and Communication (ICEIC)

Network Time Synchronization TechnologiesVehicular Ad Hoc Networks (VANETs)

Cited by 3

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems

Sun, Z., Du, X., Song, F., Wang, S., Ni, M., Li, L., & Lo, D. (2022) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 3

Interaction Design: From Concept to Completion

Steane, J., & Yee, J. (2018) · Bloomsbury Publishing Plc eBooks

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 3

QoE-Driven Service Optimization Aware of the Business Model

Rivera, D., & Cavalli, A. (2016) · 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA)

Image and Video Quality AssessmentMultimedia Communication and Technology

Cited by 3

Predicting Question-Answering Performance of Large Language Models through Semantic Consistency

Rabinovich, E., Ackerman, S., Raz, O., Farchi, E., & Anaby-Tavor, A. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Optimized Quran Passage Retrieval Using an Expanded QA Dataset and Fine-Tuned Language Models

Basem, M., Oshallah, I., Hikal, B., Hamdi, A., & Mohamed, A. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 3

AutoMCQ - Automatically Generate Code Comprehension Questions using GenAI

Goodfellow, M., Booth, R., Fagan, A., & Lambert, A. (2025) · Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 3

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Chow, W., Mao, J., Li, B., Seita, D., Guizilini, V., & Wang, Y. (2025) · arXiv

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 3

Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Huang, J., Cui, L., Wang, A., Yang, C., Liao, X., Song, L., Yao, J., & Su, J. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 3

CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion

Yao, J., Li, H., Liu, Y., Ray, S., Cheng, Y., Zhang, Q., Du, K., Lu, S., & Jiang, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Generalization through Diversity: Improving Unsupervised Environment Design

Li, W., Varakantham, P., & Li, D. (2023) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 3

Calibration tests beyond classification

Widmann, D., Lindsten, F., & Zachariah, D. (2022) · arXiv

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

Cited by 3

Developing Multi-Agent LLM Applications Through Continuous Human-LLM Co-Programming

Song, H., Goknil, A., Jiang, X., Melum, E., Joe, H., Gazzotti, C., Frascolla, V., Videsjorden, A. N., & Nguyen, P. (2025) · 2025 IEEE/ACM 4th International Conference on AI Engineering – Software Engineering for AI (CAIN)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 3