Jinliang Ding
- Artificial Intelligence top 0.5%
- Computational Theory and Mathematics top 0.2%
- Control and Systems Engineering top 0.5%
- Mechanical Engineering top 5%
- Industrial and Manufacturing Engineering top 0.5%
- Topics
- Fault Detection and Control Systems (58 papers)Mineral Processing and Grinding (40 papers)Advanced Multi-Objective Optimization Algorithms (35 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlJournal of Cleaner Production
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Jinliang Ding
178 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 1.9k
- Computational Theory and Mathematics 1.5k
- Control and Systems Engineering 1.3k
- Mechanical Engineering 604
- Industrial and Manufacturing Engineering 517
Countries citing papers authored by Jinliang Ding
This map shows the geographic impact of Jinliang 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 Jinliang Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinliang Ding more than expected).
Fields of papers citing papers by Jinliang Ding
This network shows the impact of papers produced by Jinliang 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 Jinliang Ding. The network helps show where Jinliang Ding may publish in the future.
Co-authorship network of co-authors of Jinliang Ding
This figure shows the co-authorship network connecting the top 25 collaborators of Jinliang Ding. A scholar is included among the top collaborators of Jinliang 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 Jinliang Ding. Jinliang 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 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditionsbreakdown → | 62 |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 7 | |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 15 | |
| 17 | 4 | |
| 18 | 121 | |
| 19 | NMR principle analysis based object detection for intelligent measurement of crude oil moisture content | 3 |
| 20 | Study of scheduling based on production indices optimization for mineral processing | 3 |
About Jinliang Ding
Jinliang Ding is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 196 papers that have together received 4.0k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (58 papers), Mineral Processing and Grinding (40 papers) and Advanced Multi-Objective Optimization Algorithms (35 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Artificial Intelligence (1.9k citations) and Control and Systems Engineering (1.3k citations). Jinliang Ding has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Tianyou Chai, Yaochu Jin, Cuie Yang, Jun Lu, Hong Wang, Chaoli Sun, Jianchao Zeng, Junwei Wang, Hongfeng Wang and Frank L. Lewis. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Journal of Cleaner Production.
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.