Check computer science papers: citations, claims and retractions

Experimental evidence of the effects of large language models versus web search on depth of learning

Melumad, S., & Yun, J. H. (2025) · PNAS Nexus

Information Retrieval and Search BehaviorEducational Strategies and Epistemologies

Cited by 61

Evaluating Human-Language Model Interaction

Lee, M., Srivastava, M., Hardy, A., Thickstun, J., Durmus, E., Paranjape, A., Gerard-Ursin, I., Li, X. L., Ladhak, F., Rong, F., et al. (2022) · arXiv

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 61

FIRA: fi ne-grained g ra ph-based code change representation for automated commit message generation

Dong, J., Lou, Y., Zhu, Q., Sun, Z., Li, Z., Zhang, W., & Hao, D. (2022) · Proceedings of the 44th International Conference on Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 61

A scoping review of fair machine learning techniques when using real-world data

Huang, Y., Guo, J., Chen, W.-H., Lin, H.-Y., Tang, H., Wang, F., Xu, H., & Bian, J. (2024) · Journal of Biomedical Informatics

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 61

2023 ACM Conference on Fairness Accountability and Transparency

(2023)

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 61

POET: open-ended coevolution of environments and their optimized solutions

Wang, R., Lehman, J., Clune, J., & Stanley, K. O. (2019) · Proceedings of the Genetic and Evolutionary Computation Conference

Evolutionary Algorithms and ApplicationsReinforcement Learning in Robotics

Cited by 61

A stereotaxic, population-averaged T1w ovine brain atlas including cerebral morphology and tissue volumes

Nitzsche, B., Frey, S., Collins, L. D., Seeger, J., Lobsien, D., Dreyer, A., Kirsten, H., Stoffel, M. H., Fonov, V. S., & Boltze, J. (2015) · Frontiers in Neuroanatomy

Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications

Cited by 61

Bridging Classical and Quantum with SDP initialized warm-starts for QAOA

Tate, R., Farhadi, M., Herold, C., Mohler, G., & Gupta, S. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 61

Roles and responsibilities: Libraries, librarians and data.

Corrall, S. (2018) · Managing Research Data

Research Data Management PracticesLibrary Science and Information

Cited by 61

MedYOLO: A Medical Image Object Detection Framework

Sobek, J., Medina Inojosa, J. R., Medina Inojosa, B. J., Rassoulinejad-Mousavi, S. M., Conte, G. M., Lopez-Jimenez, F., & Erickson, B. J. (2024) · Journal of Imaging Informatics in Medicine

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 61

A Novel Error-Tolerant Anonymous Linking Code

Schnell, R., Bachteler, T., & Reiher, J. (2020) · SSRN Electronic Journal

Data Quality and ManagementAlgorithms and Data Compression

Cited by 61

A Review on Financial Fraud Detection using AI and Machine Learning

Kamuangu, P. (2024) · Journal of Economics, Finance and Accounting Studies

Imbalanced Data Classification TechniquesBenford’s Law and Fraud Detection

Cited by 61

Dense RGB-D-inertial SLAM with map deformations

Laidlow, T., Bloesch, M., Li, W., & Leutenegger, S. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robotics and Sensor-Based Localization3D Surveying and Cultural Heritage

Cited by 61

SantaCoder: don't reach for the stars!

Allal, L. B., Li, R., Kocetkov, D., Mou, C., Akiki, C., Ferrandis, C. M., Muennighoff, N., Mishra, M., Gu, A., Dey, M., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 61

Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial

Tissot, H. C., Shah, A. D., Brealey, D., Harris, S., Agbakoba, R., Folarin, A., Romao, L., Roguski, L., Dobson, R., & Asselbergs, F. W. (2020) · IEEE Journal of Biomedical and Health Informatics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 61

The whats and hows of programmers' foraging diets

Piorkowski, D. J., Fleming, S. D., Kwan, I., Burnett, M. M., Scaffidi, C., Bellamy, R. K. E., & Jordahl, J. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 61

Activities Recognition, Anomaly Detection and Next Activity Prediction Based on Neural Networks in Smart Homes

Alaghbari, K. A., Md. Saad, M. H., Hussain, A., & Alam, M. R. (2022) · IEEE Access

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 61

RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation

Jin, C., Zhang, Z., Jiang, X., Liu, F., Liu, X., Liu, X., & Jin, X. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 61

Subjective objectivity: negotiating emotional meaning

Leahu, L., Schwenk, S., & Sengers, P. (2008) · Proceedings of the 7th ACM conference on Designing interactive systems

Innovative Human-Technology InteractionEmotion and Mood Recognition

Cited by 61

Named entity recognition for tweets

Liu, X., Wei, F., Zhang, S., & Zhou, M. (2013) · ACM Transactions on Intelligent Systems and Technology

Topic ModelingNatural Language Processing Techniques

Cited by 61

LOBO: Evaluation of Generalization Deficiencies in Twitter Bot Classifiers

Echeverra, J., De Cristofaro, E., Kourtellis, N., Leontiadis, I., Stringhini, G., & Zhou, S. (2018) · Proceedings of the 34th Annual Computer Security Applications Conference

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 61

Planning prompts increase and forecast course completion in massive open online courses

Yeomans, M., & Reich, J. (2017) · Proceedings of the Seventh International Learning Analytics & Knowledge Conference

Online Learning and AnalyticsOnline and Blended Learning

Cited by 61

RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation

Jin, C., Zhang, Z., Jiang, X., Liu, F., Liu, S., Liu, X., & Jin, X. (2026) · ACM Transactions on Computer Systems

Topic ModelingNatural Language Processing Techniques

Cited by 61

Core-Brain-Network-Based Multilayer Convolutional Neural Network for Emotion Recognition

Gao, Z., Li, R., Ma, C., Rui, L., & Sun, X. (2021) · IEEE Transactions on Instrumentation and Measurement

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 61