Jin Cheng
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Automotive Engineering top 10%
- Co-authors
- Dongbin ZhaoBin WangJianqiang YiGuohui WangQ.S. LiZhang YonYuan XuZhonghua Wang
- Topics
- Robotic Path Planning Algorithms (29 papers)Control and Dynamics of Mobile Robots (20 papers)Robotics and Sensor-Based Localization (13 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionAutomotive Engineering
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jin Cheng
60 papers receiving 327 citations
Peers
Comparison fields: 5 of 63
- Control and Systems Engineering 161
- Computer Vision and Pattern Recognition 137
- Biomedical Engineering 65
- Electrical and Electronic Engineering 64
- Automotive Engineering 60
Countries citing papers authored by Jin Cheng
This map shows the geographic impact of Jin Cheng'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 Jin Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Cheng more than expected).
Fields of papers citing papers by Jin Cheng
This network shows the impact of papers produced by Jin Cheng. 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 Jin Cheng. The network helps show where Jin Cheng may publish in the future.
Co-authorship network of co-authors of Jin Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Cheng. A scholar is included among the top collaborators of Jin Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Cheng. Jin Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 15 | |
| 10 | 3 | |
| 11 | A Multi-scale Visualization Method for the Trajectory Origin-Destination Data | 1 |
| 12 | 22 | |
| 13 | 29 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | Path tracking control for mobile robot with two trailers | 1 |
| 17 | 2 | |
| 18 | 14 | |
| 19 | 1 | |
| 20 | Research on System Dynamics Models Based-on Genetic Algorithm | 1 |
About Jin Cheng
Jin Cheng is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Graphics and Computer-Aided Design, having authored 66 papers that have together received 342 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (29 papers), Control and Dynamics of Mobile Robots (20 papers) and Robotics and Sensor-Based Localization (13 papers). The work is most often cited by research in Control and Systems Engineering (161 citations), Computer Vision and Pattern Recognition (137 citations) and Automotive Engineering (60 citations). Jin Cheng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dongbin Zhao, Bin Wang, Jianqiang Yi, Guohui Wang, Q.S. Li, Zhang Yon, Yuan Xu, Zhonghua Wang, Yong Zhang and Xiyuan Chen. Their work appears in journals such as Journal of Physics D Applied Physics, Optical Engineering and Computational Mechanics.
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.