Hui Yu

13.9k total citations · 7 hit papers
341 papers, 8.8k citations indexed

About

Hui Yu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Hui Yu has authored 341 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Computer Vision and Pattern Recognition, 53 papers in Electrical and Electronic Engineering and 42 papers in Artificial Intelligence. Recurrent topics in Hui Yu's work include Advanced Image and Video Retrieval Techniques (38 papers), Face recognition and analysis (37 papers) and Advanced Vision and Imaging (35 papers). Hui Yu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (38 papers), Face recognition and analysis (37 papers) and Advanced Vision and Imaging (35 papers). Hui Yu collaborates with scholars based in China, United Kingdom and United States. Hui Yu's co-authors include Guoqiang Zhong, Junyu Dong, Oliver Garrod, Philippe G. Schyns, Rachael E. Jack, Roberto Caldara, Muwei Jian, Shu Zhang, Rung-Ching Chen and Christine Dewi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Hui Yu

318 papers receiving 8.6k citations

Hit Papers

A review on the attention... 2012 2026 2016 2021 2021 2012 2017 2021 2021 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hui Yu 3.5k 1.5k 1.2k 815 715 341 8.8k
Tsuhan Chen 7.7k 2.2× 2.4k 1.6× 953 0.8× 963 1.2× 634 0.9× 376 13.7k
Nianyin Zeng 2.6k 0.7× 3.0k 2.1× 980 0.8× 438 0.5× 813 1.1× 142 9.5k
Tiejun Huang 5.2k 1.5× 1.7k 1.1× 1.4k 1.2× 819 1.0× 528 0.7× 351 8.5k
Dimitrios Tzovaras 2.3k 0.7× 1.1k 0.8× 1.1k 0.9× 282 0.3× 587 0.8× 766 9.1k
Yang Wang 2.6k 0.7× 2.9k 2.0× 893 0.8× 394 0.5× 467 0.7× 431 8.6k
Jianfei Cai 7.0k 2.0× 3.4k 2.4× 1.3k 1.1× 752 0.9× 912 1.3× 309 13.3k
Baocai Yin 4.1k 1.2× 1.4k 1.0× 530 0.4× 769 0.9× 331 0.5× 446 7.8k
Yue Gao 7.4k 2.1× 3.7k 2.5× 564 0.5× 794 1.0× 475 0.7× 380 13.2k
Vinod Nair 3.9k 1.1× 3.2k 2.2× 754 0.6× 848 1.0× 659 0.9× 23 9.8k
Abdulmotaleb El Saddik 3.2k 0.9× 1.8k 1.2× 1.2k 1.0× 505 0.6× 1.2k 1.7× 609 12.2k

Countries citing papers authored by Hui Yu

Since Specialization
Citations

This map shows the geographic impact of Hui Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hui Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Yu more than expected).

Fields of papers citing papers by Hui Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hui Yu. The network helps show where Hui Yu may publish in the future.

Co-authorship network of co-authors of Hui Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Yu. A scholar is included among the top collaborators of Hui Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hui Yu. Hui Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Wang, Zidong, Weibo Liu, Nianyin Zeng, et al.. (2024). A Novel Depth-Connected Region-Based Convolutional Neural Network for Small Defect Detection in Additive Manufacturing. Cognitive Computation. 17(1). 2 indexed citations
3.
Zhang, Ruixue, Hui Yu, Kaizhou Gao, Yaping Fu, & Joong Hoon Kim. (2024). A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time. Swarm and Evolutionary Computation. 90. 101686–101686. 10 indexed citations
4.
Yan, Xiaoqiang, et al.. (2024). Differentiable self-supervised clustering with intrinsic interpretability. Neural Networks. 179. 106542–106542.
5.
Tian, Yushi, Xiaolin Sun, Hui Yu, et al.. (2024). Efficient removal of hexavalent chromium from wastewater using a novel sodium alginate-biochar composite adsorbent. Journal of Water Process Engineering. 64. 105655–105655. 15 indexed citations
6.
Yu, Hui, Xizhen Zhang, Gang Li, et al.. (2024). Tuning luminescence wavelength of CsPbI3 quantum dots glasses using Sn doping and rapid thermal treatment for wide gamut display. Ceramics International. 51(3). 3934–3942. 2 indexed citations
7.
Fan, Lili, Yutong Wang, Hui Zhang, et al.. (2024). Multimodal Perception and Decision-Making Systems for Complex Roads Based on Foundation Models. IEEE Transactions on Systems Man and Cybernetics Systems. 54(11). 6561–6569. 2 indexed citations
8.
Yu, Hui, et al.. (2023). Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems. Swarm and Evolutionary Computation. 80. 101335–101335. 57 indexed citations
9.
Xia, Yuqing, Haiyang Liu, Feng Sun, et al.. (2023). Magnetically separable CuFe2O4/ZnIn2S4 heterojunction photocatalyst for simultaneous removal of Cr(VI) and CIP. Journal of Cleaner Production. 434. 140445–140445. 35 indexed citations
11.
Wang, Aiying, et al.. (2023). Perceptual loss guided Generative adversarial network for saliency detection. Information Sciences. 654. 119625–119625. 7 indexed citations
12.
Zhang, Zijian, et al.. (2023). Cyclen-linked benzoquinone based carbonyl network polymer for high-performance lithium organic battery. Journal of Electroanalytical Chemistry. 932. 117251–117251. 3 indexed citations
13.
Gao, Feng, et al.. (2023). Attention Fusion of Transformer-Based and Scale-Based Method for Hyperspectral and LiDAR Joint Classification. Remote Sensing. 15(3). 650–650. 16 indexed citations
14.
Dewi, Christine, et al.. (2023). Recognizing Road Surface Traffic Signs Based on Yolo Models Considering Image Flips. Big Data and Cognitive Computing. 7(1). 54–54. 13 indexed citations
15.
Dewi, Christine, Rung-Ching Chen, Chun‐Wei Chang, et al.. (2022). Eye Aspect Ratio for Real-Time Drowsiness Detection to Improve Driver Safety. Electronics. 11(19). 3183–3183. 28 indexed citations
16.
Fan, Hao, et al.. (2021). Underwater Optical 3-D Reconstruction of Photometric Stereo Considering Light Refraction and Attenuation. IEEE Journal of Oceanic Engineering. 47(1). 46–58. 19 indexed citations
17.
Dewi, Christine, Rung-Ching Chen, & Hui Yu. (2020). Weight analysis for various prohibitory sign detection and recognition using deep learning. Multimedia Tools and Applications. 79(43-44). 32897–32915. 56 indexed citations
18.
Zhang, Shu, Hui Yu, Ting Wang, Junyu Dong, & Tuan D. Pham. (2020). Linearly augmented real-time 4D expressional face capture. Information Sciences. 545. 331–343. 5 indexed citations
19.
Dong, Xinghui, et al.. (2018). Learning-Based Texture Synthesis and Automatic Inpainting Using Support Vector Machines. IEEE Transactions on Industrial Electronics. 66(6). 4777–4787. 11 indexed citations
20.
Zhang, Shu, Ting Wang, Junyu Dong, & Hui Yu. (2017). Underwater image enhancement via extended multi-scale Retinex. Neurocomputing. 245. 1–9. 315 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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