Yuhui Zheng

2.1k total citations · 1 hit paper
97 papers, 1.6k citations indexed

About

Yuhui Zheng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Yuhui Zheng has authored 97 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Vision and Pattern Recognition, 36 papers in Media Technology and 21 papers in Artificial Intelligence. Recurrent topics in Yuhui Zheng's work include Advanced Image Fusion Techniques (25 papers), Image and Signal Denoising Methods (20 papers) and Medical Image Segmentation Techniques (19 papers). Yuhui Zheng is often cited by papers focused on Advanced Image Fusion Techniques (25 papers), Image and Signal Denoising Methods (20 papers) and Medical Image Segmentation Techniques (19 papers). Yuhui Zheng collaborates with scholars based in China, South Korea and United States. Yuhui Zheng's co-authors include Byeungwoo Jeon, Q. M. Jonathan Wu, Hui Zhang, Danhua Xu, Le Sun, Guoqing Zhang, Peng Huang, Wankou Yang, Zebin Wu and Zhao Zhang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Industrial Electronics and IEEE Transactions on Image Processing.

In The Last Decade

Yuhui Zheng

88 papers receiving 1.6k citations

Hit Papers

Image segmentation by generalized hierarchical fuzzy C-me... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuhui Zheng China 20 959 469 412 125 89 97 1.6k
Taiping Zhang China 17 818 0.9× 550 1.2× 286 0.7× 169 1.4× 72 0.8× 68 1.3k
Miao Zhang China 29 1.5k 1.6× 304 0.6× 474 1.2× 90 0.7× 76 0.9× 160 2.2k
Vassilios Chatzis Greece 8 794 0.8× 493 1.1× 248 0.6× 130 1.0× 48 0.5× 29 1.2k
Rushi Lan China 28 1.7k 1.7× 503 1.1× 606 1.5× 61 0.5× 71 0.8× 167 2.4k
Michał Kawulok Poland 21 924 1.0× 405 0.9× 465 1.1× 116 0.9× 26 0.3× 91 1.9k
Chunxia Zhang China 24 816 0.9× 645 1.4× 552 1.3× 77 0.6× 60 0.7× 124 1.8k
Junmin Liu China 25 1.1k 1.2× 1.1k 2.3× 345 0.8× 112 0.9× 119 1.3× 102 2.0k
Yang Lu China 20 577 0.6× 233 0.5× 463 1.1× 120 1.0× 42 0.5× 106 1.3k
Rui Song China 24 992 1.0× 906 1.9× 281 0.7× 214 1.7× 51 0.6× 95 1.7k

Countries citing papers authored by Yuhui Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Yuhui Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhui Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhui Zheng. A scholar is included among the top collaborators of Yuhui Zheng 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 Yuhui Zheng. Yuhui Zheng 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.
Zheng, Yuhui, et al.. (2025). DBFAM: A dual-branch network with efficient feature fusion and attention-enhanced gating for medical image segmentation. Journal of Visual Communication and Image Representation. 109. 104434–104434.
2.
Cao, Shuyu, et al.. (2025). The blessing of Depth Anything: An almost unsupervised approach to crop segmentation with depth-informed pseudo labeling. Plant Phenomics. 7(1). 100005–100005. 2 indexed citations
3.
Wang, Hairui, et al.. (2024). Progressive discrepancy elimination for visible–infrared person re-identification. Neurocomputing. 607. 128387–128387. 2 indexed citations
4.
Chen, Debao, et al.. (2024). Multitask particle swarm optimization algorithm leveraging variable chunking and local meta-knowledge transfer. Swarm and Evolutionary Computation. 92. 101823–101823. 3 indexed citations
5.
Chen, Yuhao, et al.. (2023). Multi-level Part-aware Feature Disentangling for Text-based Person Search. 2801–2806. 4 indexed citations
6.
Li, Xiaoxuan, et al.. (2023). New Strategy for the Design of Anti-Corrosion Coatings in Bipolar Plates Based on Hybrid Organic–Inorganic Layers. Molecules. 28(7). 3279–3279. 4 indexed citations
7.
Zheng, Yuhui, et al.. (2023). Image Structure-Induced Semantic Pyramid Network for Inpainting. Applied Sciences. 13(13). 7812–7812. 1 indexed citations
8.
Zhang, Guoqing, et al.. (2023). Binary Noise Guidance Learning for Remote Sensing Image-to-Image Translation. Remote Sensing. 16(1). 65–65. 1 indexed citations
9.
Shen, Xiaobo, et al.. (2023). Graph Convolutional Incomplete Multi-modal Hashing. Griffith Research Online (Griffith University, Queensland, Australia). 7029–7037. 8 indexed citations
10.
Li, Chaofeng, et al.. (2023). A novel complex-valued convolutional network for real-world single image dehazing. Journal of Visual Communication and Image Representation. 97. 103984–103984. 7 indexed citations
11.
Ma, T., et al.. (2022). Constructing generic effective field theory for all masses and spins. Physical review. D. 106(11). 11 indexed citations
12.
Wang, Jinwei, et al.. (2021). SmsNet: A New Deep Convolutional Neural Network Model for Adversarial Example Detection. IEEE Transactions on Multimedia. 24. 230–244. 25 indexed citations
13.
Zhang, Yan, et al.. (2021). Convolutional Neural Network for Pansharpening with Spatial Structure Enhancement Operator. Remote Sensing. 13(20). 4062–4062. 1 indexed citations
14.
Kuo, R.J., Yuhui Zheng, & Thi Phuong Quyen Nguyen. (2020). Metaheuristic-based possibilistic fuzzy k-modes algorithms for categorical data clustering. Information Sciences. 557. 1–15. 31 indexed citations
15.
Zheng, Yuhui, Huihui Song, Le Sun, Zebin Wu, & Byeungwoo Jeon. (2019). Spatiotemporal Fusion of Satellite Images via Very Deep Convolutional Networks. Remote Sensing. 11(22). 2701–2701. 22 indexed citations
16.
Zheng, Yuhui, Xiaozhou Zhou, Byeungwoo Jeon, Jian Shen, & Hui Zhang. (2017). Multi-Scale Patch Prior Learning for Image Denoising Using Student's-t Mixture Model. 網際網路技術學刊. 18(7). 1553–1560. 2 indexed citations
17.
Song, Huihui, Yuhui Zheng, & Kaihua Zhang. (2017). Efficient algorithm for piecewise‐smooth model with approximately explicit solutions. Electronics Letters. 53(4). 233–235. 14 indexed citations
18.
Zhang, Hui, et al.. (2017). Image segmentation using a hierarchical student's‐ t mixture model. IET Image Processing. 11(11). 1094–1102. 8 indexed citations
19.
Zheng, Yuhui, et al.. (2016). Regularization Parameter Selection for TV Image Denoising Using Spatially Adaptive Local Spectral Response. 網際網路技術學刊. 17(6). 1117–1124. 2 indexed citations
20.
Zheng, Yuhui, Byeungwoo Jeon, Danhua Xu, Q. M. Jonathan Wu, & Hui Zhang. (2015). Image segmentation by generalized hierarchical fuzzy C-means algorithm. Journal of Intelligent & Fuzzy Systems. 28(2). 961–973. 391 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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