Check computer science papers: citations, claims and retractions

Authenticating health activity data using distributed ledger technologies

Brogan, J., Baskaran, I., & Ramachandran, N. (2018) · Computational and Structural Biotechnology Journal

Blockchain Technology Applications and SecurityInternet of Things and AI

Cited by 167

Let’s Have a Chat! A Conversation with ChatGPT: Technology, Applications, and Limitations

Shahriar, S., & Hayawi, K. (2023) · Artificial Intelligence and Applications

Artificial Intelligence ApplicationsTopic Modeling

Cited by 167

Biometric template transformation: a security analysis

Nagar, A., Nandakumar, K., & Jain, A. K. (2010) · SPIE Proceedings

Biometric Identification and SecurityUser Authentication and Security Systems

Cited by 167

Blockchain in Healthcare: A Patient-Centered Model

Huang, X. (2019) · Biomedical Journal of Scientific & Technical Research

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 167

Text Segmentation as a Supervised Learning Task

Koshorek, O., Cohen, A., Mor, N., Rotman, M., & Berant, J. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 167

A Contact-Resistive Random-Access-Memory-Based True Random Number Generator

Huang, C.-Y., Shen, W. C., Tseng, Y.-H., King, Y.-C., & Lin, C.-J. (2012) · IEEE Electron Device Letters

Physical Unclonable Functions (PUFs) and Hardware SecurityAdvanced Memory and Neural Computing

Cited by 167

Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning

Hao, F., He, F., Cheng, J., Wang, L., Cao, J., & Tao, D. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Image and Video Retrieval Techniques

Cited by 167

A Review of Mobile Language Learning Applications: Trends, Challenges, and Opportunities

Heil, C. R., Wu, J. S., Lee, J. J., & Schmidt, T. (2016) · The EuroCALL Review

Mobile Learning in EducationEnglish Language Learning and Teaching

Cited by 167

Applications of Objective Image Quality Assessment Methods [Applications Corner]

Wang, Z. (2011) · IEEE Signal Processing Magazine

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 167

DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila

Günel, S., Rhodin, H., Morales, D., Campagnolo, J., Ramdya, P., & Fua, P. (2019) · eLife

Human Pose and Action RecognitionNeurobiology and Insect Physiology Research

Cited by 167

An Analysis of the Search Spaces for Generate and Validate Patch Generation Systems

Long, F., & Rinard, M. (2016) · Proceedings of the 38th International Conference on Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 167

Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Hou, X., Zhao, Y., Wang, S., & Wang, H. (2026) · ACM Transactions on Software Engineering and Methodology

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 167

SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition

Jia, Z., Lin, Y., Cai, X., Chen, H., Gou, H., & Wang, J. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 167

Reflective mirrors: perspective-taking in autoscopic phenomena

Brugger, P. (2002) · Cognitive Neuropsychiatry

Virtual Reality Applications and ImpactsHallucinations in medical conditions

Cited by 167

Augment your batch: Improving generalization through instance repetition

Hoffer, E., Ben-Nun, T., Hubara, I., Giladi, N., Hoefler, T., & Soudry, D. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification

Cited by 166

Semantic Interoperability Architecture for Pervasive Computing and Internet of Things

Kiljander, J., D'elia, A., Morandi, F., Hyttinen, P., Takalo-Mattila, J., Ylisaukko-Oja, A., Soininen, J.-P., & Cinotti, T. S. (2014) · IEEE Access

Semantic Web and OntologiesIoT and Edge/Fog Computing

Cited by 166

Data Evaluation and Enhancement for Quality Improvement of Machine Learning

Chen, H., Chen, J., & Ding, J. (2021) · IEEE Transactions on Reliability

Data Quality and ManagementMachine Learning and Data Classification

Cited by 166

How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

Ponomareva, N., Hazimeh, H., Kurakin, A., Xu, Z., Denison, C., McMahan, H. B., Vassilvitskii, S., Chien, S., & Thakurta, A. G. (2023) · Journal of Artificial Intelligence Research

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 166

Lightweight Mutual Authentication for IoT and Its Applications

Li, N., Liu, D., & Nepal, S. (2017) · IEEE Transactions on Sustainable Computing

Advanced Authentication Protocols SecurityCryptography and Data Security

Cited by 166

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Abdin, M., Aneja, J., Awadalla, H., Awadallah, A., Awan, A. A., Bach, N., Bahree, A., Bakhtiari, A., Bao, J., Behl, H., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 166

hPSD: A Hybrid PU-Learning-Based Spammer Detection Model for Product Reviews

Wu, Z., Cao, J., Wang, Y., Wang, Y., Zhang, L., & Wu, J. (2020) · IEEE Transactions on Cybernetics

Spam and Phishing DetectionHate Speech and Cyberbullying Detection

Cited by 166

Reputation Transferability in Online Labor Markets

Kokkodis, M., & Ipeirotis, P. G. (2016) · Management Science

Mobile Crowdsensing and CrowdsourcingAccess Control and Trust

Cited by 166

Ambient Sensors for Elderly Care and Independent Living: A Survey

Uddin, M. Z., Khaksar, W., & Torresen, J. (2018) · Sensors

Context-Aware Activity Recognition SystemsTechnology Use by Older Adults

Cited by 166

Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection

Yan, Z., Luo, Y., Lyu, S., Liu, Q., & Wu, B. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 166