Check computer science papers: citations, claims and retractions

New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges

Bagchi, S., Abdelzaher, T. F., Govindan, R., Shenoy, P., Atrey, A., Ghosh, P., & Xu, R. (2020) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingIoT Networks and Protocols

Cited by 72

Tracking Learner Usage of Mobile Phones for Language Learning Outside of the Classroom

Stockwell, G. (2013) · CALICO Journal

Mobile Learning in EducationEnglish Language Learning and Teaching

Cited by 72

Timing and Resource-Aware Mapping of Quantum Circuits to Superconducting Processors

Lao, L., van Someren, H., Ashraf, I., & Almudever, C. G. (2022) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 72

Multiscale fully convolutional network with application to industrial inspection

Bian, X., Lim, S. N., & Zhou, N. (2016) · 2016 IEEE Winter Conference on Applications of Computer Vision (WACV)

Advanced Neural Network ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 72

Coordinated Backdoor Attacks against Federated Learning with Model-Dependent Triggers

Gong, X., Chen, Y., Huang, H., Liao, Y., Wang, S., & Wang, Q. (2022) · IEEE Network

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 72

Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration

Xu, Z., Yu, F., Xiong, J., & Chen, X. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 72

Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes

Ali, M., Sapiezynski, P., Bogen, M., Korolova, A., Mislove, A., & Rieke, A. (2019) · arXiv

Ethics and Social Impacts of AIPrivacy, Security, and Data Protection

Cited by 72

Towards Automated Circuit Discovery for Mechanistic Interpretability

Conmy, A., Mavor-Parker, A. N., Lynch, A., Heimersheim, S., & Garriga-Alonso, A. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Evolutionary Algorithms and Applications

Cited by 72

Large language models for code completion: A systematic literature review

Husein, R. A., Aburajouh, H., & Catal, C. (2025) · Computer Standards & Interfaces

Software Engineering ResearchTopic Modeling

Cited by 72

Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior

Feulner, J., Kevin Zhou, S., Hammon, M., Hornegger, J., & Comaniciu, D. (2013) · Medical Image Analysis

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 72

User Quality of Experience of Mulsemedia Applications

Yuan, Z., Chen, S., Ghinea, G., & Muntean, G.-M. (2014) · ACM Transactions on Multimedia Computing, Communications, and Applications

Image and Video Quality AssessmentMultimedia Communication and Technology

Cited by 72

Identification and Classification of Usage Patterns in Long-Term Activity Tracking

Meyer, J., Wasmann, M., Heuten, W., El Ali, A., & Boll, S. C. J. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 72

The Dirac equation as a quantum walk: higher dimensions, observational convergence

Arrighi, P., Nesme, V., & Forets, M. (2014) · Journal of Physics A: Mathematical and Theoretical

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 72

Spoofing detection with DNN and one-class SVM for the ASVspoof 2015 challenge

Villalba, J., Miguel, A., Ortega, A., & Lleida, E. (2015) · Interspeech 2015

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 72

XAI-based Clinical Decision Support System: A Systematic Review

Kim, S., Kim, D., Kim, M., Ko, H., & Jeong, O. (2024) · Applied Sciences

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 72

Interacting with Three-Dimensional Molecular Structures Using an Augmented Reality Mobile App

Aw, J. K., Boellaard, K. C., Tan, T. K., Yap, J., Loh, Y. P., Colasson, B., Blanc, É., Lam, Y., & Fung, F. M. (2020) · Journal of Chemical Education

Augmented Reality ApplicationsVarious Chemistry Research Topics

Cited by 72

Toward Generalizable Machine Learning Models in Speech, Language, and Hearing Sciences: Estimating Sample Size and Reducing Overfitting

Ghasemzadeh, H., Hillman, R. E., & Mehta, D. D. (2024) · Journal of Speech, Language, and Hearing Research

Machine Learning and Data ClassificationArtificial Intelligence in Healthcare

Cited by 72

Reducing conversational agents' overconfidence through linguistic calibration

Mielke, S. J., Szlam, A., Dinan, E., & Boureau, Y.-L. (2020) · arXiv

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 72

Beyond Post hoc Explanations: A Comprehensive Framework for Accountable AI in Medical Imaging Through Transparency, Interpretability, and Explainability

Singh, Y., Hathaway, Q. A., Keishing, V., Salehi, S., Wei, Y., Horvat, N., Vera-Garcia, D. V., Choudhary, A., Mula Kh, A., Quaia, E., et al. (2025) · Bioengineering

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 72

A Disentangling Invertible Interpretation Network for Explaining Latent Representations

Esser, P., Rombach, R., & Ommer, B. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Explainable Artificial Intelligence (XAI)Generative Adversarial Networks and Image Synthesis

Cited by 72

DriveGAN: Towards a Controllable High-Quality Neural Simulation

Kim, S. W., Philion, J., Torralba, A., & Fidler, S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 72

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

Laurençon, H., Saulnier, L., Tronchon, L., Bekman, S., Singh, A., Lozhkov, A., Wang, T., Karamcheti, S., Rush, A. M., Kiela, D., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsHandwritten Text Recognition Techniques

Cited by 72

Towards a Metaverse Workspace: Opportunities, Challenges, and Design Implications

Park, H., Ahn, D., & Lee, J. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Virtual Reality Applications and ImpactsFacilities and Workplace Management

Cited by 72

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Fan, L., Wang, G., Jiang, Y., Mandlekar, A., Yang, Y., Zhu, H., Tang, A., Huang, D.-A., Zhu, Y., & Anandkumar, A. (2022) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 72