Jiangong Wang

81 papers receiving 1.4k citations

Peers

Jiangong Wang
Comparison fields: 5 of 149
  • Biological Psychiatry 91
  • Behavioral Neuroscience 86
  • Neurology 107
  • Endocrine and Autonomic Systems 80
  • Computer Vision and Pattern Recognition 182
Replace Kang‐Woo Lee with:
Kang‐Woo Lee South Korea
Keiichi Abe Japan
Dong‐Soo Kim South Korea
Yinlong Liu China
Juan Zhang China
Min Fu China
Taewan Kim South Korea
Myung Lee United States
Xingwang Li China
Li Dai China
Jiangong Wang relative to Kang‐Woo Lee South Korea Kang‐Woo Lee's profile →
Citations per field
00.5×
Kang‐Woo Lee · 1×
Citations per year

Countries citing papers authored by Jiangong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jiangong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiangong Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jiangong Wang Line = papers co-authored together Jiangong Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201999
2 202273
3 202067
4 202262
5 202160
6 202052
7 202251
8 201640
9 202140
10 201939
11 202138
12 202234
13 202233
14 201733
15 201931
16 201930
17 202330
18 202227
19 201626
20 201123

About Jiangong Wang

Jiangong Wang is a scholar working on Mechanics of Materials, Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology and Neurology, having authored 88 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hydrocarbon exploration and reservoir analysis (14 papers), Advanced Neural Network Applications (9 papers), Blind Source Separation Techniques (6 papers), Geological Modeling and Analysis (5 papers), AI in cancer detection (5 papers), Geological and Geophysical Studies (5 papers), Industrial Vision Systems and Defect Detection (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Biological Psychiatry (91 citations), Behavioral Neuroscience (86 citations), Neurology (107 citations), Endocrine and Autonomic Systems (80 citations) and Computer Vision and Pattern Recognition (182 citations). Jiangong Wang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Fei‐Yue Wang, Yonglin Tian, Yutong Wang, Tianyu Shen, Bin Liu, Chao Gou, Haijing Yan, Xiao Wang, Dan Wang and Xin‐Yun Lu. Their work appears in journals such as IEEE Transactions on Intelligent Vehicles, Molecular Psychiatry, Scientific Reports, Bioorganic & Medicinal Chemistry Letters and IEEE Journal of Radio Frequency Identification.

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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