Jing Xiao
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Statistical and Nonlinear Physics top 5%
- Information Systems top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Hengjie ZhangXiuli WangYucheng DongEnrique Herrera‐ViedmaFrancisco ChiclanaJianzong WangEe‐Peng LimXin Mu
- Topics
- Multi-Criteria Decision Making (5 papers)Speech and Audio Processing (4 papers)Mobile Learning in Education (3 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceStatistical and Nonlinear Physics
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Jing Xiao
36 papers receiving 839 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 400
- Management Science and Operations Research 370
- Statistical and Nonlinear Physics 146
- Information Systems 112
- Computational Theory and Mathematics 91
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 | 23 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 46 | |
| 10 | 15 | |
| 11 | 86 | |
| 12 | 13 | |
| 13 | 46 | |
| 14 | 124 | |
| 15 | 18 | |
| 16 | 46 | |
| 17 | Winning the KDD Cup Orange Challenge with ensemble selection | 39 |
| 18 | 1 | |
| 19 | Modeling Uncertain and Imprecise Information in Process Modeling with UML. | 7 |
| 20 | 5 |
About Jing Xiao
Jing Xiao is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing, having authored 41 papers that have together received 865 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (5 papers), Speech and Audio Processing (4 papers) and Mobile Learning in Education (3 papers). The work is most often cited by research in Management Science and Operations Research (370 citations), Artificial Intelligence (400 citations) and Statistical and Nonlinear Physics (146 citations). Jing Xiao has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Hengjie Zhang, Xiuli Wang, Yucheng Dong, Enrique Herrera‐Viedma, Francisco Chiclana, Jianzong Wang, Ee‐Peng Lim, Xin Mu, Feida Zhu and Zhi‐Hua Zhou. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.