Jing Xiao
- Molecular Biology
- Biomedical Engineering
- Statistical and Nonlinear Physics top 5%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Xiao-Ke XuDangxiao WangYuru ZhangRoman MykhailyshynSiyuan LiuYuhang LiuTeng ZhouShanzhou� Huang
- Topics
- Complex Network Analysis Techniques (21 papers)Opinion Dynamics and Social Influence (12 papers)Robot Manipulation and Learning (11 papers)
- Cited by
- Statistical and Nonlinear PhysicsHuman-Computer InteractionComputer Vision and Pattern Recognition
- Journals
- Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesUkraine
In The Last Decade
Jing Xiao
79 papers receiving 679 citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 128
- Biomedical Engineering 122
- Statistical and Nonlinear Physics 120
- Control and Systems Engineering 99
- Computer Vision and Pattern Recognition 92
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 | 3 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 11 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 27 | |
| 14 | 16 | |
| 15 | 60 | |
| 16 | 0 | |
| 17 | 3 | |
| 18 | How to Improve the Efficiency of Listening of Autonomous Learners through Strategy Training under Online Multimedia Environment | 1 |
| 19 | 5 | |
| 20 | On uncertainty handling for assembly tasks using robots | 1 |
About Jing Xiao
Jing Xiao is a scholar working on Statistical and Nonlinear Physics, Human-Computer Interaction and Artificial Intelligence, having authored 89 papers that have together received 689 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (21 papers), Opinion Dynamics and Social Influence (12 papers) and Robot Manipulation and Learning (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (120 citations), Human-Computer Interaction (44 citations) and Computer Vision and Pattern Recognition (92 citations). Jing Xiao has collaborated with scholars based in China, United States and Ukraine. Frequent co-authors include Xiao-Ke Xu, Dangxiao Wang, Yuru Zhang, Roman Mykhailyshyn, Siyuan Liu, Yuhang Liu, Teng Zhou, Shanzhou� Huang, Yufeng Ding and Hua Yu. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.
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.