Check computer science papers: citations, claims and retractions

Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition

Jung, H., Lee, S., Yim, J., Park, S., & Kim, J. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 781

Artificial Intelligence in Cancer Research and Precision Medicine

Bhinder, B., Gilvary, C., Madhukar, N. S., & Elemento, O. (2021) · Cancer Discovery

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 781

“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI

Sambasivan, N., Kapania, S., Highfill, H., Akrong, D., Paritosh, P., & Aroyo, L. M. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIData Quality and Management

Cited by 781

A Systematic Review of the Use of Blockchain in Healthcare

Hölbl, M., Kompara, M., Kamišalić, A., & Nemec Zlatolas, L. (2018) · Symmetry

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 780

Postcolonial computing: a lens on design and development

Irani, L., Vertesi, J., Dourish, P., Philip, K., & Grinter, R. E. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

ICT in Developing CommunitiesInnovative Human-Technology Interaction

Cited by 780

MOT20: A benchmark for multi object tracking in crowded scenes

Dendorfer, P., Rezatofighi, H., Milan, A., Shi, J., Cremers, D., Reid, I., Roth, S., Schindler, K., & Leal-Taixé, L. (2020) · arXiv

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 779

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding

Shen, T., Zhou, T., Long, G., Jiang, J., Pan, S., & Zhang, C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 779

Adversarial Cross-Modal Retrieval

Wang, B., Yang, Y., Xu, X., Hanjalic, A., & Shen, H. T. (2017) · Proceedings of the 25th ACM international conference on Multimedia

Advanced Image and Video Retrieval TechniquesMultimodal Machine Learning Applications

Cited by 779

LaMDA: Language Models for Dialog Applications

Thoppilan, R., De Freitas, D., Hall, J., Shazeer, N., Kulshreshtha, A., Cheng, H.-T., Jin, A., Bos, T., Baker, L., Du, Y., et al. (2022) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 778

Quantum error correction below the surface code threshold

Collaborators, G. Q. A. A., Acharya, R., Abanin, D. A., Aghababaie-Beni, L., Aleiner, I., Andersen, T. I., Ansmann, M., Arute, F., Arya, K., Asfaw, A., et al. (2025) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 778

Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification

Sun, L., Zhao, G., Zheng, Y., & Wu, Z. (2022) · IEEE Transactions on Geoscience and Remote Sensing

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

Cited by 778

Quantitative design and evaluation of enhancement/thresholding edge detectors

Abdou, I. E., & Pratt, W. K. (1979) · Proceedings of the IEEE

Image and Object Detection TechniquesImage and Signal Denoising Methods

Cited by 778

Edge Computing for Autonomous Driving: Opportunities and Challenges

Liu, S., Liu, L., Tang, J., Yu, B., Wang, Y., & Shi, W. (2019) · Proceedings of the IEEE

IoT and Edge/Fog ComputingAutonomous Vehicle Technology and Safety

Cited by 778

HashNet: Deep Learning to Hash by Continuation

Cao, Z., Long, M., Wang, J., & Yu, P. S. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 777

Rationalizing Neural Predictions

Lei, T., Barzilay, R., & Jaakkola, T. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

Explainable Artificial Intelligence (XAI)Sentiment Analysis and Opinion Mining

Cited by 777

Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?

Holstein, K., Wortman Vaughan, J., Daumé, H., Dudik, M., & Wallach, H. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 777

The Design and Implementation of XiaoIce, an Empathetic Social Chatbot

Zhou, L., Gao, J., Li, D., & Shum, H.-Y. (2018) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 777

Demonstration of a small programmable quantum computer with atomic qubits

Debnath, S., Linke, N. M., Figgatt, C., Landsman, K. A., Wright, K., & Monroe, C. (2016) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 777

The design and implementation of Xiaoice, an empathetic social chatbot

Zhou, L., Gao, J., Li, D., & Shum, H.-Y. (2020) · Computational Linguistics

Speech and dialogue systemsAI in Service Interactions

Cited by 777

Dyna, an Integrated Architecture for Learning, Planning, and Reacting

Sutton, R. S. (1991) · ACM SIGART Bulletin

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 777

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

Gatt, A., & Krahmer, E. (2018) · Journal of Artificial Intelligence Research

Natural Language Processing TechniquesSpeech and dialogue systems

Cited by 776

Prompt Engineering with ChatGPT: A Guide for Academic Writers

Giray, L. (2023) · Annals of Biomedical Engineering

Topic ModelingAcademic Writing and Publishing

Cited by 776

Cosine-transform-based chaotic system for image encryption

Hua, Z., Zhou, Y., & Huang, H. (2019) · Information Sciences

Chaos-based Image/Signal EncryptionMathematical Dynamics and Fractals

Cited by 776

Generalized Overlap Measures for Evaluation and Validation in Medical Image Analysis

Crum, W. R., Camara, O., & Hill, D. L. G. (2006) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 776