Ju Jiang

1.3k citations
83 papers · 957 · h-index 16

Impact in

Papers in

Ju Jiang

73 papers receiving 916 citations

Peers

Ju Jiang
Comparison fields: 5 of 67
  • Control and Systems Engineering 441
  • Aerospace Engineering 386
  • Computer Networks and Communications 274
  • Signal Processing 90
  • Computer Vision and Pattern Recognition 168
Replace Nicola Bezzo with:
Nicola Bezzo United States
Fendy Santoso Australia
Hai Tao Zhu China
Matthieu Herrb France
Quanbo Ge China
Min Xue United States
Hachémi Bennaceur Saudi Arabia
Walter Lúcia Canada
Chaofang Hu China
Alexei Makarenko Australia
Ju Jiang relative to Nicola Bezzo United States Nicola Bezzo's profile →
Citations per field
00.5×2×2.6×
Nicola Bezzo · 1×
Citations per year

Countries citing papers authored by Ju Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ju Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004148
2 202299
3 201869
4 201963
5 201536
6 202333
7 200432
8 202030
9 201927
10 200426
11 202026
12 201622
13 202119
14 201418
15 200717
16 202116
17 202015
18 202113
19 202112
20 201211

About Ju Jiang

Ju Jiang is a scholar working on Control and Systems Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 83 papers that have together received 957 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (38 papers), Guidance and Control Systems (15 papers), Robotic Path Planning Algorithms (11 papers), Distributed Control Multi-Agent Systems (10 papers), Stability and Control of Uncertain Systems (10 papers), Aerospace and Aviation Technology (10 papers), Reinforcement Learning in Robotics (9 papers) and Aerospace Engineering and Control Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (441 citations), Aerospace Engineering (386 citations), Computer Networks and Communications (274 citations), Signal Processing (90 citations) and Computer Vision and Pattern Recognition (168 citations). Ju Jiang has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Ziyang Zhen, Mohamed S. Kamel, Chunlin Zhang, Zhe Zhang, Xiaozhou Zhu, Haiyan Xu, Bing Han, Xiaobing Hu, Barış Fi̇dan and Shufan Wu. Their work appears in journals such as ISA Transactions, IEEE Transactions on Aerospace and Electronic Systems, IEEE Access, Journal of the Franklin Institute and Symmetry.

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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