Jiangshe Zhang

5.8k total citations · 3 hit papers
169 papers, 4.0k citations indexed

About

Jiangshe Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jiangshe Zhang has authored 169 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Computer Vision and Pattern Recognition, 60 papers in Artificial Intelligence and 48 papers in Media Technology. Recurrent topics in Jiangshe Zhang's work include Face and Expression Recognition (42 papers), Advanced Image Fusion Techniques (30 papers) and Remote-Sensing Image Classification (28 papers). Jiangshe Zhang is often cited by papers focused on Face and Expression Recognition (42 papers), Advanced Image Fusion Techniques (30 papers) and Remote-Sensing Image Classification (28 papers). Jiangshe Zhang collaborates with scholars based in China, Hong Kong and United States. Jiangshe Zhang's co-authors include Chunxia Zhang, Junmin Liu, Zixiang Zhao, Shuang Xu, Yee Leung, Kai Sun, Luc Van Gool, Yulun Zhang, Radu Timofte and Haowen Bai and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemosphere and European Journal of Operational Research.

In The Last Decade

Jiangshe Zhang

156 papers receiving 3.9k citations

Hit Papers

CDDFuse: Correlation-Driven Dual-Branch Feature Decomposi... 2023 2026 2024 2025 2023 2023 2024 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
Jiangshe Zhang China 34 2.1k 1.7k 1.0k 330 211 169 4.0k
Min Wang China 34 1.4k 0.7× 1.3k 0.8× 843 0.8× 526 1.6× 131 0.6× 205 3.5k
Xiao Bai China 40 2.9k 1.4× 973 0.6× 1.5k 1.4× 455 1.4× 161 0.8× 161 4.9k
Hao Tang China 34 2.8k 1.4× 734 0.4× 721 0.7× 276 0.8× 124 0.6× 192 4.1k
Ronghua Shang China 42 1.8k 0.9× 1.4k 0.8× 1.8k 1.7× 561 1.7× 133 0.6× 200 4.9k
Chunyan Xu China 24 2.8k 1.4× 1.5k 0.9× 769 0.7× 232 0.7× 71 0.3× 82 4.0k
Dengxin Dai Switzerland 32 3.3k 1.6× 822 0.5× 1.8k 1.7× 495 1.5× 316 1.5× 91 4.8k
Chenwei Deng China 22 1.5k 0.7× 726 0.4× 1.1k 1.1× 291 0.9× 133 0.6× 90 3.2k
Robert Jenssen Norway 31 1.3k 0.6× 841 0.5× 1.2k 1.1× 281 0.9× 345 1.6× 123 3.6k
Qiguang Miao China 40 2.4k 1.2× 1.7k 1.0× 1.3k 1.3× 571 1.7× 408 1.9× 246 5.8k
Marcello Pelillo Italy 32 3.3k 1.6× 1.2k 0.7× 1.7k 1.6× 763 2.3× 186 0.9× 157 5.5k

Countries citing papers authored by Jiangshe Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jiangshe Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangshe Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangshe Zhang. A scholar is included among the top collaborators of Jiangshe Zhang 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 Jiangshe Zhang. Jiangshe Zhang 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.
Ji, Lizhen, et al.. (2025). Straightforward tensorized anchor graph learning for multi-view clustering. Digital Signal Processing. 167. 105443–105443.
2.
Oosterlee, Cornelis W., et al.. (2024). A deep learning-based Monte Carlo simulation scheme for stochastic differential equations driven by fractional Brownian motion. Neurocomputing. 574. 127245–127245. 4 indexed citations
3.
Zhang, Jiangshe, et al.. (2024). Enhancing Sound Source Localization via False Negative Elimination. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10499–10514.
4.
Wei, Xiaoli, et al.. (2024). Seismic Data Interpolation via Denoising Diffusion Implicit Models With Coherence-Corrected Resampling. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 1 indexed citations
5.
Li, Mengyao, et al.. (2024). Projection tests for regression coefficients in high-dimensional partial linear models. Communication in Statistics- Theory and Methods. 54(10). 3024–3051.
6.
Zhang, Jiangshe, et al.. (2024). MSSPN: Automatic first-arrival picking using a multistage segmentation picking network. Geophysics. 89(3). U53–U70. 5 indexed citations
7.
Zhao, Zixiang, Haowen Bai, Jiangshe Zhang, et al.. (2024). Equivariant Multi-Modality Image Fusion. 25912–25921. 65 indexed citations breakdown →
8.
Zhang, Jiangshe, et al.. (2023). Understanding Short-Range Memory Effects in Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 10576–10590.
9.
Zhang, Jiangshe, et al.. (2023). A reliable Bayesian neural network for the prediction of reservoir thickness with quantified uncertainty. Computers & Geosciences. 178. 105409–105409. 8 indexed citations
10.
Zhang, Jiangshe, et al.. (2023). Attention-based deformable convolutional network for Chinese various dynasties character recognition. Expert Systems with Applications. 238. 121881–121881. 13 indexed citations
11.
Zhang, Chunxia, et al.. (2023). Regeneration-Constrained Self-Supervised Seismic Data Interpolation. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–10. 10 indexed citations
12.
Li, Huirong, Yuelin Gao, Junmin Liu, Jiangshe Zhang, & Chao Li. (2021). Semi-supervised graph regularized nonnegative matrix factorization with local coordinate for image representation. Signal Processing Image Communication. 102. 116589–116589. 11 indexed citations
13.
Li, Huirong, Jiangshe Zhang, Guang Shi, & Junmin Liu. (2017). Graph-based discriminative nonnegative matrix factorization with label information. Neurocomputing. 266. 91–100. 41 indexed citations
14.
Wei, Wei, et al.. (2017). Robust face recognition via discriminative and common hybrid dictionary learning. Applied Intelligence. 48(1). 156–165. 18 indexed citations
15.
Li, Huirong, Jiangshe Zhang, Junying Hu, Chunxia Zhang, & Junmin Liu. (2016). Graph-based discriminative concept factorization for data representation. Knowledge-Based Systems. 118. 70–79. 21 indexed citations
16.
Wang, Yongjun & Jiangshe Zhang. (2006). An efficient algorithm for large scale global optimization of continuous functions. Journal of Computational and Applied Mathematics. 206(2). 1015–1026. 9 indexed citations
17.
Tian, Yi, Xue Xiao, Jiangshe Zhang, et al.. (2006). The quantification of ADAMTS expression in an animal model of cerebral ischemia using real‐time PCR. Acta Anaesthesiologica Scandinavica. 51(2). 158–164. 25 indexed citations
18.
Zhang, Jiangshe & Yiu-Wing Leung. (2003). Robust clustering by pruning outliers. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 33(6). 983–999. 28 indexed citations
19.
Leung, Yiu-Wing, Jiangshe Zhang, & Zongben Xu. (1998). Optimal neural network algorithm for on-line string matching. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 28(5). 737–739. 2 indexed citations
20.
Leung, Yee, Jiangshe Zhang, & Zongben Xu. (1997). Neural networks for convex hull computation. IEEE Transactions on Neural Networks. 8(3). 601–611. 12 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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