Jing Chu

447 citations
29 papers · 293 · h-index 8

Impact in

Papers in

Jing Chu

26 papers receiving 286 citations

Peers

Jing Chu
Comparison fields: 5 of 82
  • Aerospace Engineering 90
  • Neurology 43
  • Cellular and Molecular Neuroscience 40
  • Computer Vision and Pattern Recognition 43
  • Computer Networks and Communications 48
Replace Samuel Wilson with:
Samuel Wilson United Kingdom
Nasif Zaman United States
Luca Di Bartolomeo Japan
Miguel Ortiz del Castillo Spain
Stanislav Panev Bulgaria
Chad C. Kessens United States
Weixin Si China
Joachim Mueller Germany
John B. Davidson United States
Anders Ardö Sweden
Jing Chu relative to Samuel Wilson United Kingdom Samuel Wilson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jing Chu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983153
2 202334
3 201917
4 201511
5 201310
6 20249
7 20168
8 20148
9 20225
10 20244
11 20134
12 20164
13 20173
14 20223
15 20113
16 20163
17 20242
18 20142
19 20102
20 20212

About Jing Chu

Jing Chu is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Mechanical Engineering, having authored 29 papers that have together received 293 indexed citations. Recurring topics across this work include Spacecraft Dynamics and Control (8 papers), Robotic Path Planning Algorithms (6 papers), Space Satellite Systems and Control (5 papers), Modular Robots and Swarm Intelligence (5 papers), Distributed Control Multi-Agent Systems (4 papers), Natural Language Processing Techniques (3 papers), Text and Document Classification Technologies (3 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Aerospace Engineering (90 citations), Neurology (43 citations), Cellular and Molecular Neuroscience (40 citations), Computer Vision and Pattern Recognition (43 citations) and Computer Networks and Communications (48 citations). Jing Chu has collaborated with scholars based in China, Netherlands and Sweden. Frequent co-authors include Sanjeev D. Nandedkar, Stefan Stålberg, Vera Bril, Martin Ericsson, Erik Stålberg, Eberhard Gill, Jian Guo, Xiaoping Zhu, Fei Yan and Jinwen Hu. Their work appears in journals such as Acta Astronautica, Journal of environmental chemical engineering, Scientific Reports, Applied Sciences and Celestial Mechanics and Dynamical Astronomy.

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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