Jin Zhou

1.8k total citations · 1 hit paper
98 papers, 1.3k citations indexed

About

Jin Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Jin Zhou has authored 98 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 20 papers in Surgery. Recurrent topics in Jin Zhou's work include Face and Expression Recognition (15 papers), Advanced Clustering Algorithms Research (14 papers) and Abdominal Trauma and Injuries (9 papers). Jin Zhou is often cited by papers focused on Face and Expression Recognition (15 papers), Advanced Clustering Algorithms Research (14 papers) and Abdominal Trauma and Injuries (9 papers). Jin Zhou collaborates with scholars based in China, Macao and United States. Jin Zhou's co-authors include Jing Tong, Ligang Liu, Hao Yan, Zhigeng Pan, Zhong Wu, Bing Peng, Long Chen, C. L. Philip Chen, Pankaj Prasoon and Han‐Xiong Li and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Jin Zhou

94 papers receiving 1.2k citations

Hit Papers

Scanning 3D Full Human Bodies Using Kinects 2012 2026 2016 2021 2012 100 200 300
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. Scanning 3D Full Human Bodies Using Kinects
    2012 373 citations Jin Zhou 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
Jin Zhou China 17 392 247 236 141 128 98 1.3k
Erik B. Dam Denmark 23 386 1.0× 515 2.1× 186 0.8× 61 0.4× 24 0.2× 75 2.4k
Diana Mateus France 20 683 1.7× 146 0.6× 431 1.8× 59 0.4× 49 0.4× 63 1.5k
Noboru Harada Japan 23 307 0.8× 545 2.2× 432 1.8× 125 0.9× 9 0.1× 156 1.9k
Hengmin Zhang China 22 428 1.1× 67 0.3× 228 1.0× 281 2.0× 22 0.2× 43 1.4k
Anirban Mukherjee India 23 422 1.1× 151 0.6× 296 1.3× 146 1.0× 22 0.2× 197 2.0k
Heitor S. Ramos Brazil 20 100 0.3× 292 1.2× 137 0.6× 11 0.1× 70 0.5× 79 1.5k
Shujun Huang China 19 593 1.5× 71 0.3× 297 1.3× 98 0.7× 9 0.1× 64 2.1k
Jianjun Qian China 28 1.2k 2.9× 316 1.3× 242 1.0× 598 4.2× 7 0.1× 169 2.5k
T. Pavlidis Greece 30 232 0.6× 1.4k 5.6× 85 0.4× 27 0.2× 23 0.2× 172 2.5k
Li Sun China 22 196 0.5× 138 0.6× 168 0.7× 50 0.4× 10 0.1× 114 1.5k

Countries citing papers authored by Jin Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Jin Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Zhou. A scholar is included among the top collaborators of Jin Zhou 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 Jin Zhou. Jin Zhou 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.
Du, Yu, et al.. (2025). Multi-agent reinforcement learning for vibration control of regenerative active suspension. Engineering Applications of Artificial Intelligence. 153. 110809–110809. 2 indexed citations
2.
Zhou, Jin, et al.. (2024). STFGCN: Spatial–temporal fusion graph convolutional network for traffic prediction. Expert Systems with Applications. 255. 124648–124648. 19 indexed citations
3.
4.
Huang, Fei, et al.. (2023). Dietary flavonoid isoliquiritigenin inhibits microglia-mediated neuroinflammation in Parkinson's disease models via JNK/NFκB/AKT signaling pathway. Psychoneuroendocrinology. 153. 106188–106188. 2 indexed citations
5.
Chen, Long, et al.. (2023). Pairwise constraints-based semi-supervised fuzzy clustering with multi-manifold regularization. Information Sciences. 638. 118994–118994. 22 indexed citations
6.
7.
Zhou, Jin, Rongrong Wang, Long Chen, et al.. (2020). Transfer Collaborative Fuzzy Clustering in Distributed Peer-to-Peer Networks. IEEE Transactions on Fuzzy Systems. 30(2). 500–514. 15 indexed citations
8.
Guo, Jing, Shu Guo, Lihua He, et al.. (2019). Analysis of antibiotic resistance and influencing factors for Helicobacter pylori in children. Zhonghua shiyong erke linchuang zazhi. 34(19). 1450–1453. 1 indexed citations
9.
Zhou, Xie-Lai, et al.. (2018). Preoperative Th1/Th2 and related cytokines:Prediction value in postoperative febrile UTIafter ureteroscopy in patients with ureteral calculi. Advances in Clinical and Experimental Medicine. 28(1). 125–132. 4 indexed citations
10.
Wu, Zhong, et al.. (2013). The learning curve for laparoscopic splenectomy for massive splenomegaly: a single surgeon’s experience. Chinese Medical Journal. 126(11). 2103–2108. 10 indexed citations
11.
12.
Li, Jinghong, et al.. (2013). Effect of electrochemotherapy in treating patients with venous malformations. Chinese Journal of Integrative Medicine. 19(5). 387–393. 15 indexed citations
13.
Wang, Xin, Yongbin Li, Jin Zhou, Zhong Wu, & Bing Peng. (2012). Hand-Assisted Laparoscopic Splenectomy Is a Better Choice for Patients with Supramassive Splenomegaly Due to Liver Cirrhosis. Journal of Laparoendoscopic & Advanced Surgical Techniques. 22(10). 962–967. 8 indexed citations
14.
Wu, Zhong, et al.. (2012). Low expression of FCGRIIB in macrophages of immune thrombocytopenia-affected individuals. International Journal of Hematology. 96(5). 588–593. 18 indexed citations
15.
Wu, Zhong, Jin Zhou, Pankaj Prasoon, & Bing Peng. (2012). Laparoscopic and open splenectomy for splenomegaly secondary to liver cirrhosis: an evaluation of immunity. Surgical Endoscopy. 26(12). 3557–3564. 8 indexed citations
16.
Wu, Zhong, Jin Zhou, Pankaj Prasoon, & Bing Peng. (2012). Comparative treatment and literature review for laparoscopic splenectomy alone versus preoperative splenic artery embolization splenectomy. Surgical Endoscopy. 26(10). 2758–2766. 39 indexed citations
17.
Zhang, Jie, et al.. (2011). Type 2 polarized immune response holds a major position in Epstein–Barr virus‐related idiopathic thrombocytopenic purpura (EBV‐ITP). International Journal of Laboratory Hematology. 34(2). 164–171. 16 indexed citations
18.
Zhou, Jin, Zhong Wu, Yunqiang Cai, Yichao Wang, & Bing Peng. (2011). The Feasibility and Safety of Laparoscopic Splenectomy for Massive Splenomegaly: A Comparative Study. Journal of Surgical Research. 171(1). e55–e60. 31 indexed citations
19.
Zhou, Jin & Xingming Xiao. (2005). Safety detection of braking system based on wavelet packet and neural network. Journal of Transducer Technology. 8 indexed citations
20.
Zhao, Yanhong, Jin Zhou, & Xiaoxia Li. (2005). [A study on the relationship between alpha- and beta-isoform of glucocorticoid receptors and glucocorticoid-resistant idiopathic thrombocytopenia purpura].. PubMed. 44(5). 363–5. 4 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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