Ju Jiang
Impact in
-
- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
- Aerospace Engineering top 5%
- Guidance and Control Systems
- Aerospace and Aviation Technology
Papers in
-
- Adaptive Control of Nonlinear Systems 37
- Stability and Control of Uncertain Systems 10
-
- Guidance and Control Systems 15
- Aerospace and Aviation Technology 10
- Co-authors
- Ziyang Zhen (23 shared papers)Mohamed S. Kamel (7 shared papers)Chunlin Zhang (2 shared papers)Zhe Zhang (5 shared papers)Xiaozhou Zhu (1 shared paper)Barış Fi̇dan (2 shared papers)Haiyan Xu (4 shared papers)Bing Han (6 shared papers)
In The Last Decade
Ju Jiang
66 papers receiving 781 citations
Peers
Comparison fields: 5 of 60
- Control and Systems Engineering 404
- Aerospace Engineering 345
- Computer Networks and Communications 222
- Computer Vision and Pattern Recognition 144
- Artificial Intelligence 190
Countries citing papers authored by Ju Jiang
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
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.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 123 | |
| 2 | 2022 | 84 | |
| 3 | 2018 | 64 | |
| 4 | 2019 | 56 | |
| 5 | 2015 | 34 | |
| 6 | 2004 | 28 | |
| 7 | 2023 | 25 | |
| 8 | 2019 | 25 | |
| 9 | 2020 | 24 | |
| 10 | 2020 | 23 | |
| 11 | 2004 | 21 | |
| 12 | 2016 | 20 | |
| 13 | 2021 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2014 | 16 | |
| 16 | 2020 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2014 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2021 | 10 |
About Ju Jiang
Ju Jiang is a scholar working on Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 76 papers that have together received 814 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (37 papers), Guidance and Control Systems (15 papers), Stability and Control of Uncertain Systems (10 papers), Aerospace and Aviation Technology (10 papers), Distributed Control Multi-Agent Systems (9 papers), Robotic Path Planning Algorithms (9 papers), Reinforcement Learning in Robotics (8 papers) and Adaptive Dynamic Programming Control (7 papers). The work is most often cited by research in Control and Systems Engineering (404 citations), Aerospace Engineering (345 citations), Computer Networks and Communications (222 citations), Computer Vision and Pattern Recognition (144 citations) and Artificial Intelligence (190 citations). Ju Jiang has collaborated with scholars based in China, Canada and Vietnam. Frequent co-authors include Ziyang Zhen, Mohamed S. Kamel, Chunlin Zhang, Zhe Zhang, Xiaozhou Zhu, Barış Fi̇dan, Haiyan Xu, Bing Han, Chen Gao and Shufan Wu. Their work appears in journals such as ISA Transactions, IEEE Access, Journal of the Franklin Institute, IEEE Transactions on Aerospace and Electronic Systems and Engineering Applications of Artificial Intelligence.
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.