Changhui Hu

556 total citations
39 papers, 364 citations indexed

About

Changhui Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Changhui Hu has authored 39 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Changhui Hu's work include Face recognition and analysis (14 papers), Face and Expression Recognition (12 papers) and Image Enhancement Techniques (9 papers). Changhui Hu is often cited by papers focused on Face recognition and analysis (14 papers), Face and Expression Recognition (12 papers) and Image Enhancement Techniques (9 papers). Changhui Hu collaborates with scholars based in China, Bangladesh and Japan. Changhui Hu's co-authors include Xiao‐Yuan Jing, Xiaobo Lu, Fei Wu, Ziyun Cai, Pan Liu, Yang Zhang, Yin Hu, Yanyong Guo, Qi Ge and Yimu Ji and has published in prestigious journals such as The Science of The Total Environment, Bioresource Technology and IEEE Transactions on Image Processing.

In The Last Decade

Changhui Hu

35 papers receiving 361 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Changhui Hu China 11 267 72 66 33 31 39 364
Hylke Buisman Netherlands 3 195 0.7× 86 1.2× 18 0.3× 24 0.7× 29 0.9× 6 252
Hwasup Lim South Korea 10 196 0.7× 22 0.3× 39 0.6× 25 0.8× 20 0.6× 37 270
Weihong Ren China 10 288 1.1× 74 1.0× 19 0.3× 30 0.9× 3 0.1× 38 331
Joon Hee Choi United States 7 164 0.6× 131 1.8× 29 0.4× 26 0.8× 6 0.2× 7 260
Hui Zeng China 11 323 1.2× 69 1.0× 36 0.5× 44 1.3× 10 0.3× 45 376
Yifan Zuo China 11 173 0.6× 91 1.3× 41 0.6× 10 0.3× 6 0.2× 29 268
Chi-Hao Wu United States 9 178 0.7× 30 0.4× 22 0.3× 17 0.5× 17 0.5× 18 280
Yi‐Min Tsai Taiwan 11 346 1.3× 160 2.2× 11 0.2× 29 0.9× 9 0.3× 31 436
Jianfu Zhang China 11 334 1.3× 41 0.6× 48 0.7× 99 3.0× 5 0.2× 35 405
Sezer Karaoğlu Netherlands 9 226 0.8× 53 0.7× 13 0.2× 53 1.6× 3 0.1× 32 273

Countries citing papers authored by Changhui Hu

Since Specialization
Citations

This map shows the geographic impact of Changhui Hu'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 Changhui Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changhui Hu more than expected).

Fields of papers citing papers by Changhui Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changhui Hu. 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 Changhui Hu. The network helps show where Changhui Hu may publish in the future.

Co-authorship network of co-authors of Changhui Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Changhui Hu. A scholar is included among the top collaborators of Changhui Hu 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 Changhui Hu. Changhui Hu 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
1.
Cai, Ziyun, Yawen Huang, Changhui Hu, et al.. (2025). Make source-free transfer great: Dynamic uncertainty-driven confident fusion for multi-source-free domain adaptation. Information Fusion. 127. 103859–103859.
2.
Chen, Linjun, et al.. (2025). Sample-pair learning network for extremely imbalanced classification. Neurocomputing. 634. 129859–129859.
3.
Hu, Changhui, et al.. (2025). RestormGAN: Restormer with generative facial prior towards real-world blind face restoration. Computers & Electrical Engineering. 123. 110095–110095.
4.
Wu, Xinyi, et al.. (2025). Feammox in wastewater treatment: Mechanisms, synergistic interactions and future engineering applications. The Science of The Total Environment. 999. 180335–180335.
5.
Hu, Changhui, et al.. (2024). Degrade for upgrade: Learning degradation representations for real-world low-light image enhancement. Computers & Electrical Engineering. 119. 109622–109622. 10 indexed citations
6.
Hu, Changhui, Yin Hu, Ziyun Cai, et al.. (2024). Multiscale hybrid feature guided normalizing flow for low-light image enhancement. Computers & Electrical Engineering. 122. 109922–109922. 1 indexed citations
7.
Hu, Changhui, et al.. (2024). UPT-Flow: Multi-scale transformer-guided normalizing flow for low-light image enhancement. Pattern Recognition. 158. 111076–111076. 34 indexed citations
8.
Hu, Changhui, et al.. (2024). ZMAR-SNFlow:Restoration for low-light images with massive zero-element pixels. Computers & Electrical Engineering. 120. 109750–109750. 3 indexed citations
9.
Hu, Changhui, Xue Cai, Lin Cui, et al.. (2024). Cellulosic Ethanol Production from High-Solids Corncob Residues by Simultaneous Saccharification and Fermentation on a Pilot Scale. ACS Sustainable Resource Management. 1(8). 1845–1854. 3 indexed citations
10.
Hu, Changhui, et al.. (2024). JTE-CFlow for Low-Light Enhancement and Zero-Element Pixels Restoration With Application to Night Traffic Monitoring Images. IEEE Transactions on Intelligent Transportation Systems. 26(3). 3755–3770. 14 indexed citations
11.
Cai, Ziyun, et al.. (2023). Single-/Multi-Source Domain Adaptation via domain separation: A simple but effective method. Pattern Recognition Letters. 174. 124–129. 8 indexed citations
12.
Cai, Ziyun, Jie Song, Tengfei Zhang, Changhui Hu, & Xiao‐Yuan Jing. (2023). Local weight coupled network: multi-modal unequal semi-supervised domain adaptation. Multimedia Tools and Applications. 83(2). 4331–4357. 3 indexed citations
13.
Wang, Siyu, et al.. (2023). Flow Learning Based Dual Networks for Low-Light Image Enhancement. Neural Processing Letters. 55(6). 8115–8130. 3 indexed citations
14.
Cai, Xue, Changhui Hu, Jing Wang, et al.. (2021). Efficient high-solids enzymatic hydrolysis of corncobs by an acidic pretreatment and a fed-batch feeding mode. Bioresource Technology. 326. 124768–124768. 45 indexed citations
15.
Hu, Changhui, et al.. (2020). Fast single sample face recognition based on sparse representation classification. Multimedia Tools and Applications. 80(3). 3251–3273. 4 indexed citations
16.
Jing, Xiao‐Yuan, et al.. (2020). Local and global aligned spatiotemporal attention network for video-based person re-identification. Multimedia Tools and Applications. 79(45-46). 34489–34512. 2 indexed citations
17.
Hu, Changhui, Xiaobo Lu, Fei Wu, Songsong Wu, & Xiao‐Yuan Jing. (2019). General logarithm difference model for severe illumination variation face recognition. Multimedia Tools and Applications. 78(19). 27425–27447. 1 indexed citations
19.
Zhang, Yang, Changhui Hu, & Xiaobo Lu. (2019). IL-GAN: Illumination-invariant representation learning for single sample face recognition. Journal of Visual Communication and Image Representation. 59. 501–513. 23 indexed citations
20.
Wu, Fei, et al.. (2019). Dynamic attention network for semantic segmentation. Neurocomputing. 384. 182–191. 38 indexed citations

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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