Shu Zhan

1.4k total citations · 1 hit paper
94 papers, 850 citations indexed

About

Shu Zhan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Shu Zhan has authored 94 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 15 papers in Media Technology. Recurrent topics in Shu Zhan's work include Face and Expression Recognition (15 papers), Advanced Image Processing Techniques (15 papers) and Face recognition and analysis (14 papers). Shu Zhan is often cited by papers focused on Face and Expression Recognition (15 papers), Advanced Image Processing Techniques (15 papers) and Face recognition and analysis (14 papers). Shu Zhan collaborates with scholars based in China, Japan and United States. Shu Zhan's co-authors include Toru Kurihara, Xiaohong Li, Jun Yu, Alina A. von Davier, Qiuyu Li, Yongsheng Ren, Xiaohong Li, Jiangang Hao, Alina von Davier and Mengxiao Zhu and has published in prestigious journals such as International Journal of Heat and Mass Transfer, IEEE Access and Sensors.

In The Last Decade

Shu Zhan

82 papers receiving 813 citations

Hit Papers

Recent progress in high-entropy alloys: A focused review ... 2024 2026 2025 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Recent progress in high-entropy alloys: A focused review of preparation processes and properties
    2024 65 citations Yongsheng Ren, Yi Zeng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu Zhan China 17 379 170 114 98 91 94 850
Ilya Makarov Russia 15 377 1.0× 270 1.6× 42 0.4× 101 1.0× 104 1.1× 99 802
Min Zhao China 18 189 0.5× 178 1.0× 62 0.5× 23 0.2× 52 0.6× 153 1.2k
Tao Huang China 17 240 0.6× 365 2.1× 36 0.3× 44 0.4× 42 0.5× 88 1.0k
Ashish Jaiswal United States 7 413 1.1× 535 3.1× 43 0.4× 70 0.7× 32 0.4× 17 1.2k
Shao‐Lun Huang China 19 250 0.7× 423 2.5× 38 0.3× 36 0.4× 97 1.1× 117 1.2k
Jian Zhao China 15 362 1.0× 127 0.7× 37 0.3× 60 0.6× 35 0.4× 134 800
Wanting Ji China 15 358 0.9× 211 1.2× 35 0.3× 39 0.4× 41 0.5× 37 632
Shailendra Narayan Singh India 19 209 0.6× 370 2.2× 82 0.7× 25 0.3× 29 0.3× 115 1.1k
Raymond Ptucha United States 18 624 1.6× 333 2.0× 29 0.3× 143 1.5× 75 0.8× 76 1.1k

Countries citing papers authored by Shu Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Shu Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Zhan. A scholar is included among the top collaborators of Shu Zhan 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 Shu Zhan. Shu Zhan 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.
Fu, Chengyu, et al.. (2025). MatGNet: A graph neural network for crystal property prediction as an alternative to first-principles calculations. Materials Today Communications. 44. 112021–112021.
2.
3.
Wang, Zhengxing, Yongsheng Ren, Wenhui Ma, et al.. (2024). Crystal surface heat transfer during the growth of 300mm monocrystalline silicon by the Czochralski process. International Journal of Heat and Mass Transfer. 236. 126259–126259. 3 indexed citations
4.
Yu, Jun, et al.. (2024). A complex neural network model by Hilbert Transform. Pattern Recognition Letters. 186. 113–118. 2 indexed citations
5.
Li, Qian, Wei Zhou, Yongsheng Ren, et al.. (2024). Reinforce crystal material property prediction with comprehensive message passing via deep graph networks. Computational Materials Science. 239. 112958–112958. 3 indexed citations
6.
7.
Ren, Yongsheng, Hui Chen, Yi Zeng, et al.. (2022). Separation mechanism of bulk Si from Si–Sn melt via upwards directional solidification based on the density difference. Vacuum. 201. 111081–111081. 3 indexed citations
8.
Wang, Liquan, et al.. (2022). 3D-structure-attention graph neural network for crystals and materials. Molecular Physics. 120(11). 7 indexed citations
9.
Zhan, Shu, et al.. (2022). A Measurement System for the Tightness of Sealed Vessels Based on Machine Vision Using Deep Learning Algorithm. IEEE Transactions on Instrumentation and Measurement. 71. 1–15. 8 indexed citations
10.
Wang, Jing, et al.. (2021). Encoding-decoding Network With Pyramid Self-attention Module For Retinal Vessel Segmentation. International Journal of Automation and Computing. 18(6). 973–980. 10 indexed citations
11.
Li, Qiuyu, et al.. (2019). Encoder-Decoder Residual Network for Real Super-Resolution. 2169–2178. 26 indexed citations
12.
Song, Bo, et al.. (2016). Stability analysis of Hopfield neural networks perturbed by Poisson noises. Neurocomputing. 196. 53–58. 10 indexed citations
13.
14.
Hao, Jiangang, Shu Zhan, & Alina von Davier. (2015). Analyzing Process Data from Game/Scenario-Based Tasks: An Edit Distance Approach. Zenodo (CERN European Organization for Nuclear Research). 7(1). 33–50. 35 indexed citations
15.
Bergner, Yoav, Shu Zhan, & Alina A. von Davier. (2014). Visualization and Confirmatory Clustering of Sequence Data from a Simulation-Based Assessment Task. Educational Data Mining. 177–184. 20 indexed citations
16.
Zhan, Shu, Richard N. Henson, & Richard M. Luecht. (2013). Using Deterministic, Gated Item Response Theory Model to Detect Test Cheating due to Item Compromise. Psychometrika. 78(3). 481–497. 33 indexed citations
17.
Zhan, Shu. (2009). Research on Filter for Removing Image Salt and Pepper Noise. Journal of Engineering Graphics. 1 indexed citations
18.
Zhan, Shu. (2009). Face Feature Location Based on Improved Active Appearance Models. Video Engineering. 1 indexed citations
19.
Jiang, Jianguo, Yanrong Guo, Shu Zhan, & Hong Li. (2008). Segmentation of Knee Joints Based on Improved Multiphase Chan-Vese Model. 1. 2418–2422. 5 indexed citations
20.
Kurihara, Toru, et al.. (2003). A facial authentication system using real-time surface orientation imager. Society of Instrument and Control Engineers of Japan. 3. 2385–2389. 1 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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