Jing Xiao
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Mechanical Engineering top 10%
- Topics
- Robot Manipulation and Learning (37 papers)Robotic Path Planning Algorithms (32 papers)Teleoperation and Haptic Systems (19 papers)
- Cited by
- Control and Systems EngineeringIndustrial and Manufacturing EngineeringComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jing Xiao
164 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 119
- Control and Systems Engineering 619
- Computer Vision and Pattern Recognition 516
- Artificial Intelligence 468
- Biomedical Engineering 365
- Mechanical Engineering 300
Countries citing papers authored by Jing Xiao
This map shows the geographic impact of Jing Xiao'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 Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Xiao more than expected).
Fields of papers citing papers by Jing Xiao
This network shows the impact of papers produced by Jing Xiao. 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 Xiao. The network helps show where Jing Xiao may publish in the future.
Co-authorship network of co-authors of Jing Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Xiao. A scholar is included among the top collaborators of Jing Xiao 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 Jing Xiao. Jing Xiao 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 | 0 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 15 | |
| 7 | 25 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | Detecting differential item functioning of polytomous items in small samples: Comparison of MIMIC with a Pure Anchor and MIMIC-Interaction methods | 1 |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | Solving traveling salesman problem with improved MIMIC algorithm | 1 |
| 19 | 19 | |
| 20 | Identification of ship's oil spill risk degree of sea area by using B-P artificial network | 0 |
About Jing Xiao
Jing Xiao is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Graphics and Computer-Aided Design, having authored 172 papers that have together received 1.9k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (37 papers), Robotic Path Planning Algorithms (32 papers) and Teleoperation and Haptic Systems (19 papers). The work is most often cited by research in Control and Systems Engineering (619 citations), Industrial and Manufacturing Engineering (257 citations) and Computer Vision and Pattern Recognition (516 citations). Jing Xiao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jinglin Li, Jun Zhang, Dangxiao Wang, Yuru Zhang, Chaoqun Li, Yuan Guo, Shiyi Liu, Wei Xu, Yong Tang and Yong Tang. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.
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.