Check computer science papers: citations, claims and retractions

PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems

Zhang, J., Chen, B., Cheng, X., Binh, H. T. T., & Yu, S. (2021) · IEEE Internet of Things Journal

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 291

Measuring Massive Multitask Language Understanding

Hendrycks, D., Burns, C., Basart, S., Zou, A., Mazeika, M., Song, D., & Steinhardt, J. (2020) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 291

Blockchain and Federated Learning for Collaborative Intrusion Detection in Vehicular Edge Computing

Liu, H., Zhang, S., Zhang, P., Zhou, X., Shao, X., Pu, G., & Zhang, Y. (2021) · IEEE Transactions on Vehicular Technology

Network Security and Intrusion DetectionPrivacy-Preserving Technologies in Data

Cited by 291

Federated Learning for Keyword Spotting

Leroy, D., Coucke, A., Lavril, T., Gisselbrecht, T., & Dureau, J. (2019) · ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Privacy-Preserving Technologies in DataSpeech Recognition and Synthesis

Cited by 291

Demographic dialectal variation in social media: a case study of African-American English

Blodgett, S. L., Green, L., & O'Connor, B. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesAuthorship Attribution and Profiling

Cited by 291

Ethical limitations of algorithmic fairness solutions in health care machine learning

McCradden, M. D., Joshi, S., Mazwi, M., & Anderson, J. A. (2020) · The Lancet Digital Health

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 291

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Fu, C., Dai, Y., Luo, Y., Li, L., Ren, S., Zhang, R., Wang, Z., Zhou, C., Shen, Y., Zhang, M., et al. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 291

Mobile Cloud Computing Model and Big Data Analysis for Healthcare Applications

Tawalbeh, L. A., Mehmood, R., Benkhlifa, E., & Song, H. (2016) · IEEE Access

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 291

Femto clouds: leveraging mobile devices to provide cloud service at the edge

Habak, K., Ammar, M., Harras, K. A., & Zegura, E. (2015) · 2015 IEEE 8th International Conference on Cloud Computing

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 291

Using many cameras as one

Pless, R. (2003) · 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.

Advanced Vision and Imaging3D Surveying and Cultural Heritage

Cited by 291

NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision

Fang, B., Zeng, X., & Zhang, M. (2018) · Proceedings of the 24th Annual International Conference on Mobile Computing and Networking

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 291

Supporting program comprehension with source code summarization

Haiduc, S., Aponte, J., & Marcus, A. (2010) · Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 291

Corporate digital responsibility in service firms and their ecosystems

Wirtz, J., Kunz, W. H., Hartley, N., & Tarbit, J. (2023) · Journal of Service Research

Ethics and Social Impacts of AICorporate Social Responsibility and Sustainability

Cited by 291

SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery

Guo, X., Lao, J., Dang, B., Zhang, Y., Yu, L., Ru, L., Zhong, L., Huang, Z., Wu, K., Hu, D., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Remote-Sensing Image ClassificationRemote Sensing and Land Use

Cited by 290

From WER and RIL to MER and WIL: improved evaluation measures for connected speech recognition

Morris, A. C., Maier, V., & Green, P. (2004) · Interspeech 2004

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 290

Human Motion Diffusion Model

Tevet, G., Raab, S., Gordon, B., Shafir, Y., Cohen-Or, D., & Bermano, A. H. (2022) · arXiv

Human Motion and Animation3D Shape Modeling and Analysis

Cited by 290

The FAIR guiding principles for data stewardship: fair enough?

Boeckhout, M., Zielhuis, G. A., & Bredenoord, A. L. (2018) · European Journal of Human Genetics

Research Data Management PracticesData Analysis and Archiving

Cited by 290

MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization

Qin, Z., Wang, J., & Lu, Y. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsAdvanced Vision and Imaging

Cited by 290

GeoChat:Grounded Large Vision-Language Model for Remote Sensing

Kuckreja, K., Danish, M. S., Naseer, M., Das, A., Khan, S., & Khan, F. S. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsRemote-Sensing Image Classification

Cited by 290

Uncovering social network Sybils in the wild

Yang, Z., Wilson, C., Wang, X., Gao, T., Zhao, B. Y., & Dai, Y. (2014) · ACM Transactions on Knowledge Discovery from Data

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 290

All That’s ‘Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text

Clark, E., August, T., Serrano, S., Haduong, N., Gururangan, S., & Smith, N. A. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 290

Document clustering: TF-IDF approach

Bafna, P., Pramod, D., & Vaidya, A. (2016) · 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)

Advanced Clustering Algorithms ResearchText and Document Classification Technologies

Cited by 290

A Secure Federated Learning Framework for 5G Networks

Liu, Y., Peng, J., Kang, J., Iliyasu, A. M., Niyato, D., & El-Latif, A. A. A. (2020) · IEEE Wireless Communications

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 290

Homesteading the Noosphere

Raymond, E. S. (1998) · First Monday

Open Source Software InnovationsIntellectual Property Rights and Media

Cited by 290