Jing Chi

1.9k citations
109 papers · 1.4k · h-index 22

Impact in

Papers in

Jing Chi

97 papers receiving 1.4k citations

Peers

Jing Chi
Comparison fields: 5 of 147
  • Cell Biology 136
  • Control and Systems Engineering 193
  • Mechanical Engineering 258
  • Developmental Neuroscience 22
  • Computational Mathematics 3
Replace Mingyong Liu with:
Mingyong Liu China
Youdong Chen China
Mingsheng Liu China
Zhixiong Zhang China
Yoshikazu Arai Japan
Orlando De Jesús Puerto Rico
Michael J. Wilson United Kingdom
H. Nakamura Japan
Shibao Li China
Bingqiang Liu China
Jing Chi relative to Mingyong Liu China Mingyong Liu's profile →
Citations per field
00.5×2×3×4×4.7×
Mingyong Liu · 1×
Citations per year

Countries citing papers authored by Jing Chi

Since Specialization
Citations

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

Fields of papers citing papers by Jing Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010149
2 202097
3 201976
4 202065
5 202062
6 201750
7 201550
8 201946
9 201946
10 201140
11 202039
12 201939
13 201438
14 202130
15 200929
16 201627
17 201825
18 201825
19 201023
20 202323

About Jing Chi

Jing Chi is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Control and Systems Engineering, Surgery and Computer Networks and Communications, having authored 109 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced materials and composites (10 papers), Adaptive Control of Nonlinear Systems (9 papers), Cytomegalovirus and herpesvirus research (7 papers), Metal and Thin Film Mechanics (6 papers), Face recognition and analysis (6 papers), High Entropy Alloys Studies (5 papers), Neural Networks Stability and Synchronization (5 papers) and Adaptive Dynamic Programming Control (4 papers). The work is most often cited by research in Cell Biology (136 citations), Control and Systems Engineering (193 citations), Mechanical Engineering (258 citations), Developmental Neuroscience (22 citations) and Computational Mathematics (3 citations). Jing Chi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaozheng Jin, Min Li, Shufeng Wang, Mingyang Zhang, Xiao-Ming Wu, Caiming Zhang, Min Fang, Xiaoming Wu, Yunfeng Zhang and Chao Zhou. Their work appears in journals such as Journal of the Franklin Institute, Applied Mathematics and Computation, Vacuum, Frontiers in Medicine and Journal of Virology.

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.

Explore authors with similar magnitude of impact