Xueming Ding
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Molecular Biology
- Co-authors
- Ngaam J. CheungHong‐Bin ShenGuoliang WeiYuqiang LuoYurong LiuXiaohui LiuBenoı̂t KornmannYongxiong Wang
- Topics
- Metaheuristic Optimization Algorithms Research (7 papers)Machine Learning in Bioinformatics (4 papers)Advanced Multi-Objective Optimization Algorithms (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xueming Ding
23 papers receiving 459 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 269
- Control and Systems Engineering 157
- Computational Theory and Mathematics 100
- Electrical and Electronic Engineering 72
- Molecular Biology 53
Countries citing papers authored by Xueming Ding
This map shows the geographic impact of Xueming Ding'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 Xueming Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueming Ding more than expected).
Fields of papers citing papers by Xueming Ding
This network shows the impact of papers produced by Xueming Ding. 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 Xueming Ding. The network helps show where Xueming Ding may publish in the future.
Co-authorship network of co-authors of Xueming Ding
This figure shows the co-authorship network connecting the top 25 collaborators of Xueming Ding. A scholar is included among the top collaborators of Xueming Ding 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 Xueming Ding. Xueming Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 36 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 7 | |
| 12 | 8 | |
| 13 | 44 | |
| 14 | 9 | |
| 15 | 44 | |
| 16 | T-S Model Identification Based on Improved Firefly Algorithm | 1 |
| 17 | 91 | |
| 18 | 73 | |
| 19 | 1 | |
| 20 | LSSVM-Based Online Identification for T-S Model | 1 |
About Xueming Ding
Xueming Ding is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computational Theory and Mathematics, having authored 23 papers that have together received 479 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Machine Learning in Bioinformatics (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Artificial Intelligence (269 citations), Control and Systems Engineering (157 citations) and Computational Theory and Mathematics (100 citations). Xueming Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ngaam J. Cheung, Hong‐Bin Shen, Guoliang Wei, Yuqiang Luo, Yurong Liu, Xiaohui Liu, Benoı̂t Kornmann, Yongxiong Wang, Siyu Huang and Arun T. John Peter. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.
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.