Jiayan Jiang

433 citations
30 papers · 326 · h-index 11

Impact in

Papers in

Jiayan Jiang

26 papers receiving 313 citations

Peers

Jiayan Jiang
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 126
  • Energy Engineering and Power Technology 13
  • Control and Systems Engineering 94
  • Electrical and Electronic Engineering 144
  • Media Technology 14
Replace Yamei Liu with:
Yamei Liu China
Dan Lascu Romania
Ronilson Rocha Brazil
Peng Cao China
Yuanpei Chen China
Fengqiu Xu China
Xin Cheng China
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Citations per field
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Citations per year

Countries citing papers authored by Jiayan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jiayan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiayan Jiang, 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 Jiayan Jiang Line = papers co-authored together Jiayan Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201154
2 202037
3 201033
4 201929
5 201129
6 200924
7 201015
8 200414
9 201113
10 200613
11 200611
12 202010
13 20078
14 20097
15 20216
16 20234
17 20084
18 20063
19 20242
20 20252

About Jiayan Jiang

Jiayan Jiang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence and Computational Mechanics, having authored 30 papers that have together received 326 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Advanced DC-DC Converters (3 papers), Multilevel Inverters and Converters (3 papers), Neural Networks and Applications (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Microgrid Control and Optimization (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (126 citations), Energy Engineering and Power Technology (13 citations), Control and Systems Engineering (94 citations), Electrical and Electronic Engineering (144 citations) and Media Technology (14 citations). Jiayan Jiang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhuowen Tu, Bo Wang, Jianguo Jiang, Zhongzheng Zhou, Ye Shu, Cong Liu, Quannan Li, Liming Zhang, Chin‐Hwa Hu and Sorin Cotöfană. Their work appears in journals such as IEEE Transactions on Power Electronics, Global Ecology and Conservation, IEEE Access, Pattern Recognition and Plant Signaling & Behavior.

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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