Check computer science papers: citations, claims and retractions

Data linkage infrastructure for cross-jurisdictional health-related research in Australia

Boyd, J. H., Ferrante, A. M., O’Keefe, C. M., Bass, A. J., Randall, S. M., & Semmens, J. B. (2012) · BMC Health Services Research

Data Quality and ManagementMedical Coding and Health Information

Cited by 79

Self-Sovereign Identity: Use-cases, Technologies, and Challenges for Industrial IoT

Bartolomeu, P. C., Vieira, E., Hosseini, S. M., & Ferreira, J. (2019) · 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

Blockchain Technology Applications and SecurityAdvanced Authentication Protocols Security

Cited by 79

R 3—Rescale, Rotate, and Randomize: A Novel Image Cryptosystem Utilizing Chaotic and Hyper-Chaotic Systems

Gabr, M., Korayem, Y., Chen, Y.-L., Yee, P. L., Ku, C. S., & Alexan, W. (2023) · IEEE Access

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 79

8.2 8Mb/s 28Mb/mJ robust true-random-number generator in 65nm CMOS based on differential ring oscillator with feedback resistors

Kim, E., Lee, M., & Kim, J.-J. (2017) · 2017 IEEE International Solid-State Circuits Conference (ISSCC)

Physical Unclonable Functions (PUFs) and Hardware SecurityLow-power high-performance VLSI design

Cited by 79

Towards Accurate Post-Training Quantization for Vision Transformer

Ding, Y., Qin, H., Yan, Q., Chai, Z., Liu, J., Wei, X., & Liu, X. (2022) · Proceedings of the 30th ACM International Conference on Multimedia

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 79

DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds

Ding, L., & Feng, C. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Robotics and Sensor-Based Localization3D Shape Modeling and Analysis

Cited by 79

Explainable goal-driven agents and robots-a comprehensive review

Sado, F., Loo, C. K., Liew, W. S., Kerzel, M., & Wermter, S. (2023) · ACM Computing Surveys

Explainable Artificial Intelligence (XAI)Multi-Agent Systems and Negotiation

Cited by 79

Awareness of racial and ethnic bias and potential solutions to address bias with use of health care algorithms.

Jain, A., Brooks, J. R., Alford, C. C., Chang, C. S., Mueller, N. M., Umscheid, C. A., & Bierman, A. S. (2023) · JAMA Health Forum

Ethics and Social Impacts of AIRace, Genetics, and Society

Cited by 79

Discovering the Syntax and Strategies of Natural Language Programming with Generative Language Models

Jiang, E., Toh, E., Molina, A., Olson, K., Kayacik, C., Donsbach, A., Cai, C. J., & Terry, M. (2022) · CHI Conference on Human Factors in Computing Systems

Software Engineering ResearchTeaching and Learning Programming

Cited by 79

A new fast multiple color image encryption algorithm

Alexan, W., Hosny, K., & Gabr, M. (2025) · Cluster Computing

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 79

The face deepfake detection challenge

Guarnera, L., Giudice, O., Guarnera, F., Ortis, A., Puglisi, G., Paratore, A., Bui, L. M. Q., Fontani, M., Coccomini, D. A., Caldelli, R., et al. (2022) · Journal of Imaging

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 79

Illustrating an ideal adaptive e-learning: A conceptual framework

Beldagli, B., & Adiguzel, T. (2010) · Procedia - Social and Behavioral Sciences

Intelligent Tutoring Systems and Adaptive LearningEducational Technology and E-Learning

Cited by 79

Deterioration rates in Virtual Reality Therapy: An individual patient data level meta-analysis

Fernández-Álvarez, J., Rozental, A., Carlbring, P., Colombo, D., Riva, G., Anderson, P. L., Baños, R. M., Benbow, A. A., Bouchard, S., Bretón-López, J. M., et al. (2019) · Journal of Anxiety Disorders

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 79

Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap

Srivastava, S., B, A. M., P, A., Menon, S., Sukumar, A., T, A. S., Philipose, A., Prince, S., & Thomas, S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 79

Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information

Dozen, A., Komatsu, M., Sakai, A., Komatsu, R., Shozu, K., Machino, H., Yasutomi, S., Arakaki, T., Asada, K., Kaneko, S., et al. (2020) · Biomolecules

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 79

Bitcoin mining acceleration and performance quantification

Anish Dev, J. (2014) · 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE)

Blockchain Technology Applications and SecurityParallel Computing and Optimization Techniques

Cited by 79

Designing a spoken dialogue interface to an intelligent cognitive assistant for people with dementia

Wolters, M. K., Kelly, F., & Kilgour, J. (2016) · Health Informatics Journal

Speech and dialogue systemsTechnology Use by Older Adults

Cited by 79

Gazing with pEYEs: towards a universal input for various applications

Huckauf, A., & Urbina, M. H. (2008) · Proceedings of the 2008 symposium on Eye tracking research & applications - ETRA '08

Gaze Tracking and Assistive TechnologyInteractive and Immersive Displays

Cited by 79

OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks

Yuan, M., Zhou, Z., Xiong, X., Wu, W., Sun, J., Song, J., Cui, K., Wang, B., Wu, H., Li, Y., et al. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 79

Identification of topological features in renal tumor microenvironment associated with patient survival

Cheng, J., Mo, X., Wang, X., Parwani, A., Feng, Q., & Huang, K. (2018) · Bioinformatics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 79

Machine Learning, Predictive Analytics, and Clinical Practice: Can the Past Inform the Present?

Peterson, E. D. (2019) · JAMA

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 79

How to Discriminate between Computer-Aided and Computer-Hindered Decisions: A Case Study in Mammography

Povyakalo, A. A., Alberdi, E., Strigini, L., & Ayton, P. (2013) · Medical Decision Making

AI in cancer detectionRadiology practices and education

Cited by 79

LemonAid: selection-based crowdsourced contextual help for web applications

Chilana, P. K., Ko, A. J., & Wobbrock, J. O. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Information Retrieval and Search BehaviorExpert finding and Q&A systems

Cited by 79

On hallucination and predictive uncertainty in conditional language generation

Xiao, Y., & Wang, W. Y. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

Topic ModelingNatural Language Processing Techniques

Cited by 79