Check computer science papers: citations, claims and retractions

An auto-tuning framework for parallel multicore stencil computations

Kamil, S., Chan, C., Oliker, L., Shalf, J., & Williams, S. (2010) · 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS)

Parallel Computing and Optimization TechniquesComputer Graphics and Visualization Techniques

Cited by 209

AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap

Liao, Q. V., & Vaughan, J. W. (2023) · arXiv

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

Cited by 209

Bias in Large Language Models: Origin, Evaluation, and Mitigation

Guo, Y., Guo, M., Su, J., Yang, Z., Zhu, M., Li, H., Qiu, M., & Liu, S. S. (2024) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 208

Preventing harassment and increasing group participation through social norms in 2,190 online science discussions

Matias, J. N. (2019) · Proceedings of the National Academy of Sciences

Hate Speech and Cyberbullying DetectionKnowledge Management and Sharing

Cited by 208

Scaling up behavioral science interventions in online education

Kizilcec, R. F., Reich, J., Yeomans, M., Dann, C., Brunskill, E., Lopez, G., Turkay, S., Williams, J. J., & Tingley, D. (2020) · Proceedings of the National Academy of Sciences

Online Learning and AnalyticsOnline and Blended Learning

Cited by 208

Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations

Schemmer, M., Kuehl, N., Benz, C., Bartos, A., & Satzger, G. (2023) · Proceedings of the 28th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 208

Approach to record linkage of primary care data from Clinical Practice Research Datalink to other health-related patient data: overview and implications

Padmanabhan, S., Carty, L., Cameron, E., Ghosh, R. E., Williams, R., & Strongman, H. (2019) · European Journal of Epidemiology

Data Quality and ManagementMedical Coding and Health Information

Cited by 208

GZoltar: an eclipse plug-in for testing and debugging

Campos, J., Riboira, A., Perez, A., & Abreu, R. (2012) · Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering

Software Testing and Debugging TechniquesSoftware System Performance and Reliability

Cited by 208

Classification and Explanation for Intrusion Detection System Based on Ensemble Trees and SHAP Method

Le, T.-T.-H., Kim, H., Kang, H., & Kim, H. (2022) · Sensors

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 208

LightRAG: Simple and Fast Retrieval-Augmented Generation

Guo, Z., Xia, L., Yu, Y., Ao, T., & Huang, C. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Topic ModelingInformation Retrieval and Search Behavior

Cited by 208

A literature survey on social engineering attacks: Phishing attack

Gupta, S., Singhal, A., & Kapoor, A. (2016) · 2016 International Conference on Computing, Communication and Automation (ICCCA)

Spam and Phishing DetectionUser Authentication and Security Systems

Cited by 208

The Use of Computer Vision in an Intelligent Environment to Support Aging-in-Place, Safety, and Independence in the Home

Mihailidis, A., Carmichael, B., & Boger, J. (2004) · IEEE Transactions on Information Technology in Biomedicine

Context-Aware Activity Recognition SystemsTechnology Use by Older Adults

Cited by 208

SoK: Taxonomy of Attacks on Open-Source Software Supply Chains

Ladisa, P., Plate, H., Martinez, M., & Barais, O. (2023) · 2023 IEEE Symposium on Security and Privacy (SP)

Software Engineering ResearchInformation and Cyber Security

Cited by 208

SoK: Understanding the Prevailing Security Vulnerabilities in TrustZone-assisted TEE Systems

Cerdeira, D., Santos, N., Fonseca, P., & Pinto, S. (2020) · 2020 IEEE Symposium on Security and Privacy (SP)

Security and Verification in ComputingCryptographic Implementations and Security

Cited by 208

Arbitrary accuracy iterative quantum phase estimation algorithm using a single ancillary qubit: A two-qubit benchmark

Dobšíček, M., Johansson, G., Shumeiko, V., & Wendin, G. (2007) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 208

Deep learning for segmentation of brain tumors: Impact of cross‐institutional training and testing

AlBadawy, E. A., Saha, A., & Mazurowski, M. A. (2018) · Medical Physics

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 208

Blockchain for Giving Patients Control Over Their Medical Records

Madine, M. M., Battah, A. A., Yaqoob, I., Salah, K., Jayaraman, R., Al-Hammadi, Y., Pesic, S., & Ellahham, S. (2020) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 208

NFC Devices: Security and Privacy

Madlmayr, G., Langer, J., Kantner, C., & Scharinger, J. (2008) · 2008 Third International Conference on Availability, Reliability and Security

RFID technology advancementsAdvanced Authentication Protocols Security

Cited by 208

A no-reference perceptual image sharpness metric based on a cumulative probability of blur detection

Narvekar, N. D., & Karam, L. J. (2009) · 2009 International Workshop on Quality of Multimedia Experience

Image and Video Quality AssessmentAdvanced Image Processing Techniques

Cited by 208

The growing influence of industry in AI research

Ahmed, N., Wahed, M., & Thompson, N. C. (2023) · Science

Artificial Intelligence ApplicationsResearch, Science, and Academia

Cited by 208

Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach

Awad, A., Bader-El-Den, M., McNicholas, J., & Briggs, J. (2017) · International Journal of Medical Informatics

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 208

Learning with Side Information through Modality Hallucination

Hoffman, J., Gupta, S., & Darrell, T. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 207

Software Defined Networking for Improved Wireless Sensor Network Management: A Survey

Ndiaye, M., Hancke, G., & Abu-Mahfouz, A. (2017) · Sensors

Energy Efficient Wireless Sensor NetworksSoftware-Defined Networks and 5G

Cited by 207

Embracing First-Person Perspectives in Soma-Based Design

Höök, K., Caramiaux, B., Erkut, C., Forlizzi, J., Hajinejad, N., Haller, M., Hummels, C., Isbister, K., Jonsson, M., Khut, G., et al. (2018) · Informatics

Innovative Human-Technology InteractionArt, Technology, and Culture

Cited by 207