Check computer science papers: citations, claims and retractions

Quantized Reservoir Computing on Edge Devices for Communication Applications

Liu, S., Liu, L., & Yi, Y. (2020) · 2020 IEEE/ACM Symposium on Edge Computing (SEC)

Neural Networks and Reservoir ComputingAdvanced Memory and Neural Computing

Cited by 5

Small Models Struggle to Learn from Strong Reasoners

Li, Y., Yue, X., Xu, Z., Jiang, F., Niu, L., Lin, B. Y., Ramasubramanian, B., & Poovendran, R. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 5

Limitations of Quantum Hardware for Molecular Energy Estimation Using VQE

Carreras, A., Orús, R., & Casanova, D. (2026) · Physical Chemistry Chemical Physics

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 5

Argument Mining Driven Analysis of Peer-Reviews Dataset

F., B., Faerman, & S. (2020) · Zenodo

Sentiment Analysis and Opinion MiningMulti-Agent Systems and Negotiation

Cited by 5

Disentangling the Causes of Plasticity Loss in Neural Networks

Lyle, C., Zheng, Z., Khetarpal, K., van Hasselt, H., Pascanu, R., Martens, J., & Dabney, W. (2024) · arXiv

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 5

Unlocking the Power of AI/ML in DevSecOps: Strategies and Best Practices

Pakalapati, N., Konidena, B. K., & Mohamed, I. A. (2023) · Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)

Software Engineering Techniques and PracticesSoftware System Performance and Reliability

Cited by 5

Keep Me Updated! Memory Management in Long-term Conversations

Bae, S., Kwak, D., Kang, S., Lee, M. Y., Kim, S., Jeong, Y., Kim, H., Lee, S.-W., Park, W., & Sung, N. (2022) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 5

Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization

Fasoli, A., Chen, C.-Y., Serrano, M., Venkataramani, S., Saon, G., Cui, X., Kingsbury, B., & Gopalakrishnan, K. (2022) · Interspeech 2022

Speech Recognition and SynthesisAdvanced Neural Network Applications

Cited by 5

An Interactive Scene Generation Using Natural Language

Cheng, Y., Shi, Y., Sun, Z., Feng, D., & Dong, L. (2019) · 2019 International Conference on Robotics and Automation (ICRA)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 5

Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM Reviews

Shin, H., Tang, J., Lee, Y., Kim, N., Lim, H., Cho, J. Y., Hong, H., Lee, M., & Kim, J. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 5

The wicked and the logical: Facilitating integrative learning among introductory computing students

Stone, J., & Cruz, L. (2021) · Teaching & Learning Inquiry

Teaching and Learning ProgrammingProblem and Project Based Learning

Cited by 5

Cybersecurity Of Work From Anywhere Model For Government : A Systematic Literature Review

Asyrofi, M. F., & Nugraha, I. G. D. (2025) · International Journal of Electrical, Computer, and Biomedical Engineering

Information and Cyber SecurityCybersecurity and Information Systems

Cited by 5

Hindsight: Structured Agent Memory that Retains, Recalls, and Reflects

Latimer, C., Boschi, N., Neeser, A., Bartholomew, C., Srivastava, G., Wang, X., & Ramakrishnan, N. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 5

Identification and Addressal of Knowledge Gaps in Students

Kumar, N. S., Mali, R., Ratnam, A., Kurpad, V., & Magapu, H. (2022) · 2022 3rd International Conference for Emerging Technology (INCET)

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 5

Encountering Generative AI: Narrative Self-Formation and Technologies of the Self Among Young Adults

Kvietkute, D., & Ness, I. J. (2026) · Societies

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 5

Electronic health record-based readmission risk model performance for patients undergoing outpatient parenteral antibiotic therapy (OPAT)

Drew, R., Brenneman, E., Funaro, J., Lee, H.-J., Yarrington, M., Dicks, K., & Gallagher, D. (2023) · PLOS Digital Health

Machine Learning in HealthcareHospital Admissions and Outcomes

Cited by 5

Visualizing Uncertainty to Promote Clinicians’ Understanding of Measurement Error

Frans, N., Hummelen, B., Albers, C. J., & Paap, M. C. S. (2023) · Assessment

Data Visualization and AnalyticsClinical Reasoning and Diagnostic Skills

Cited by 5

Combining Deep and Handcrafted Image Features for Vehicle Classification in Drone Imagery

Le, X., Wang, Y., & Jo, J. (2018) · 2018 Digital Image Computing: Techniques and Applications (DICTA)

Advanced Neural Network ApplicationsVehicle License Plate Recognition

Cited by 5

User experience of mixed reality applications for healthy ageing: A systematic review

Lim, K. J., McGuckian, T. B., Cole, M. H., Duckworth, J., & Wilson, P. H. (2023) · Cyberpsychology: Journal of Psychosocial Research on Cyberspace

Virtual Reality Applications and ImpactsTechnology Use by Older Adults

Cited by 5

An Innovative Approach to Improve Elasticity and Performance of Message Brokers for Green Smart Cities

Rampérez, V., Soriano, J., Lizcano, D., & Lara, J. A. (2018) · Proceedings of the Fourth International Conference on Engineering & MIS 2018

IoT and Edge/Fog ComputingService-Oriented Architecture and Web Services

Cited by 5

Harness-of-Harness: Multi-Day Autonomous Software Development with Continual Improvement

Yan, H., Su, M.-L., Zhang, H., Li, Z., Zhang, C., Zhang, S., Chen, Y., Bai, L., & Hu, S. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 5

Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models

Gao, J., Chen, G., O’Rourke, A. P., Caskey, J., Carey, K. A., Oguss, M., Stey, A., Dligach, D., Miller, T., Mayampurath, A., et al. (2024) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 5

Authenticator Rebinding Attack of the UAF Protocol on Mobile Devices

Li, H., Pan, X., Wang, X., Feng, H., & Shi, C. (2020) · Wireless Communications and Mobile Computing

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 5

The Niki and Julie Corpus: Collaborative Multimodal Dialogues between Humans, Robots, and Virtual Agents

Artstein, R., Boberg, J., Gainer, A., Gratch, J., Johnson, E., Leuski, A., Lucas, G., & Traum, D. (2018) · Proceedings of the Language Resources and Evaluation Conference

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 5