Changèn Zhou

690 total citations
16 papers, 532 citations indexed

About

Changèn Zhou is a scholar working on Complementary and alternative medicine, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Changèn Zhou has authored 16 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Complementary and alternative medicine, 9 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Changèn Zhou's work include Traditional Chinese Medicine Studies (11 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Traditional Chinese Medicine Analysis (5 papers). Changèn Zhou is often cited by papers focused on Traditional Chinese Medicine Studies (11 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Traditional Chinese Medicine Analysis (5 papers). Changèn Zhou collaborates with scholars based in China and United States. Changèn Zhou's co-authors include Candong Li, Shaozi Li, Jia Zhang, Zhiming Luo, Haoyi Fan, Zuoyong Li, Liang Dai, Zhaoyang Yang, Wen Zhao and Xuejuan Lin and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Journal of Ethnopharmacology.

In The Last Decade

Changèn Zhou

15 papers receiving 524 citations

Peers

Changèn Zhou

AI

CVPR

CAM

MB

IS

Haifeng Jiang China

Zhanzhan Cheng China

Runhui Li China

Qiuyu Zhang China

Gülşen Demiröz Türkiye

Bei Hui China

Ziang Hu United States

Siyuan Zhuang China

Marcela Xavier Ribeiro Brazil

Tengyu Yin China

Haifeng Jiang China

Changèn Zhou

351 ×1.0

AI

64 ×0.3

CVPR

8 ×0.1

CAM

64 ×0.5

MB

134 ×1.4

IS

Citations per year, relative to Changèn Zhou Changèn Zhou (= 1×) peers Haifeng Jiang

Countries citing papers authored by Changèn Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Changèn Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changèn Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Changèn Zhou. A scholar is included among the top collaborators of Changèn 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 Changèn Zhou. Changèn Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

1.

Li, Zuoyong, et al.. (2024). State-element-aware syndrome classification based on hypergraph convolutional network. Expert Systems with Applications. 248. 123369–123369. 2 indexed citations

2.

Zhou, Changèn, et al.. (2023). TCM syndrome classification using graph convolutional network. European Journal of Integrative Medicine. 62. 102288–102288. 4 indexed citations

3.

Zhao, Wen, Zuoyong Li, Changèn Zhou, et al.. (2022). TCM herbal prescription recommendation model based on multi-graph convolutional network. Journal of Ethnopharmacology. 297. 115109–115109. 57 indexed citations

4.

Li, Xuechen, et al.. (2022). Tongue size and shape classification fusing segmentation features for traditional Chinese medicine diagnosis. Neural Computing and Applications. 35(10). 7581–7594. 6 indexed citations

5.

Zhou, Changèn, et al.. (2022). Syndrome Classification Based on Multi-Graph Attention Network. 297–301. 1 indexed citations

6.

Li, Xuechen, et al.. (2021). A Coarse Feature Reuse Deep Neural Network for CXR Lesion Detection. 307–313. 1 indexed citations

7.

Zhao, Wen, Changèn Zhou, Zuoyong Li, et al.. (2021). Neural Network-Based Prescription of Chinese Herbal Medicines. 390–393.

8.

Zhou, Changèn, Haoyi Fan, Wen Zhao, et al.. (2020). Reconstruction enhanced probabilistic model for semisupervised tongue image segmentation. Concurrency and Computation Practice and Experience. 32(22). 10 indexed citations

9.

Liu, Weixia, Changèn Zhou, Zuoyong Li, & Zhongyi Hu. (2020). Patch-Driven Tongue Image Segmentation Using Sparse Representation. IEEE Access. 8. 41372–41383. 17 indexed citations

10.

Zhang, Jia, Zhiming Luo, Candong Li, Changèn Zhou, & Shaozi Li. (2019). Manifold regularized discriminative feature selection for multi-label learning. Pattern Recognition. 95. 136–150. 266 indexed citations

11.

Zhou, Changèn, et al.. (2019). Tonguenet: Accurate Localization and Segmentation for Tongue Images Using Deep Neural Networks. IEEE Access. 7. 148779–148789. 46 indexed citations

12.

Dai, Liang, et al.. (2018). Multi‐label feature selection with application to TCM state identification. Concurrency and Computation Practice and Experience. 31(23). 15 indexed citations

13.

Zhang, Jia, et al.. (2018). Towards a unified multi-source-based optimization framework for multi-label learning. Applied Soft Computing. 76. 425–435. 31 indexed citations

14.

Zhang, Jia, et al.. (2018). Mutual information based multi-label feature selection via constrained convex optimization. Neurocomputing. 329. 447–456. 73 indexed citations

15.

Chen, Junjie, et al.. (2009). A Novel Routing Algorithm for Ad Hoc Networks Based on the Downstream Nodes Information. 277–280. 2 indexed citations

16.

Zhou, Changèn, et al.. (2008). Database of Traditional Chinese Medicinal herbs: A bridge between TCM and modern science. 773–776. 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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