Jing Xiao
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Organizational Behavior and Human Resource Management top 5%
- Biomedical Engineering
- Industrial and Manufacturing Engineering top 2%
- Co-authors
- Hari RajagopalanCem SaydamZbigniew MichalewiczLixin ZhangKrzysztof TrojanowskiChuanlai XuHua KuangLi‐Biao Han
- Topics
- Robotic Path Planning Algorithms (11 papers)Catalytic C–H Functionalization Methods (9 papers)Robot Manipulation and Learning (8 papers)
- Cited by
- Organizational Behavior and Human Resource ManagementIndustrial and Manufacturing EngineeringComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jing Xiao
75 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 318
- Control and Systems Engineering 233
- Organizational Behavior and Human Resource Management 227
- Biomedical Engineering 213
- Industrial and Manufacturing Engineering 213
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 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 0 | |
| 12 | 4 | |
| 13 | 11 | |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 14 | |
| 19 | 16 | |
| 20 | 23 |
About Jing Xiao
Jing Xiao is a scholar working on Computer Graphics and Computer-Aided Design, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 82 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (11 papers), Catalytic C–H Functionalization Methods (9 papers) and Robot Manipulation and Learning (8 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (227 citations), Industrial and Manufacturing Engineering (213 citations) and Computer Vision and Pattern Recognition (318 citations). Jing Xiao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hari Rajagopalan, Cem Saydam, Zbigniew Michalewicz, Lixin Zhang, Krzysztof Trojanowski, Chuanlai Xu, Hua Kuang, Li‐Biao Han, Jia Yang and Liguang Xu. Their work appears in journals such as Chemical Communications, Scientific Reports and European Journal of Operational Research.
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.