Chao Jiang

588 total citations
35 papers, 359 citations indexed

About

Chao Jiang is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chao Jiang has authored 35 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chao Jiang's work include Advanced Graph Neural Networks (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Complex Network Analysis Techniques (3 papers). Chao Jiang is often cited by papers focused on Advanced Graph Neural Networks (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Complex Network Analysis Techniques (3 papers). Chao Jiang collaborates with scholars based in China, United States and Canada. Chao Jiang's co-authors include Shuang Wang, Chen Peng, Lucila Ohno‐Machado, Xiaoqian Jiang, Fei Ding, Jie Liu, Yang Zhou, Dejing Dou, Pengwei Wang and Ruoming Jin and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Fuzzy Systems and Journal of Medical Internet Research.

In The Last Decade

Chao Jiang

32 papers receiving 353 citations

Peers

Chao Jiang
Comparison fields: 5 of 103
  • Artificial Intelligence 132
  • Molecular Biology 61
  • Computer Vision and Pattern Recognition 34
  • Automotive Engineering 33
  • Control and Systems Engineering 33
Replace Weidong Xie with:
Weidong Xie China
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Xiaoyan Yang China
Yutaka Matsuo Japan
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Ujjwal Maulik India
Ágnes Vathy-Fogarassy Hungary
Jiajia Chen China
Yaohua Wang China
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Weidong Xie China View profile →
Citations per field, relative to Chao Jiang
Chao Jiang · 1×
Citations per year, relative to Chao Jiang
Chao Jiang · 1×

Countries citing papers authored by Chao Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Chao Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Jiang. A scholar is included among the top collaborators of Chao Jiang 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 Chao Jiang. Chao Jiang 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
# Work Indexed citations
1 10
2 5
3 10
4 1
5 9
6 1
7 6
8 1
9 4
10 6
11 1
12 6
13 0
14 1
15 19
16
Identification of Dendrobium huoshanense, Dendrobium officinale and Dendrobium devonianum by multiplex allele-specific polymerase chain reaction.
2
17 28
18 17
19 35
20 9

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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