Lianghong Wu
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 2%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Automotive Engineering top 5%
- Co-authors
- Xiaofang YuanYaonan WangShaowu ZhouZhaohua LiuCili ZuoHongqiang ZhangKan LiuChaoyang Chen
- Topics
- Metaheuristic Optimization Algorithms Research (15 papers)Adaptive Control of Nonlinear Systems (6 papers)Evolutionary Algorithms and Applications (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlJournal of Cleaner Production
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lianghong Wu
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Electrical and Electronic Engineering 543
- Control and Systems Engineering 390
- Artificial Intelligence 386
- Computational Theory and Mathematics 256
- Automotive Engineering 131
Countries citing papers authored by Lianghong Wu
This map shows the geographic impact of Lianghong Wu'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 Lianghong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lianghong Wu more than expected).
Fields of papers citing papers by Lianghong Wu
This network shows the impact of papers produced by Lianghong Wu. 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 Lianghong Wu. The network helps show where Lianghong Wu may publish in the future.
Co-authorship network of co-authors of Lianghong Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Lianghong Wu. A scholar is included among the top collaborators of Lianghong Wu 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 Lianghong Wu. Lianghong Wu 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 | 7 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 25 | |
| 6 | 34 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 16 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 21 | |
| 16 | 21 | |
| 17 | 15 | |
| 18 | 37 | |
| 19 | 13 | |
| 20 | 9 |
About Lianghong Wu
Lianghong Wu is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (15 papers), Adaptive Control of Nonlinear Systems (6 papers) and Evolutionary Algorithms and Applications (6 papers). The work is most often cited by research in Control and Systems Engineering (390 citations), Computational Theory and Mathematics (256 citations) and Artificial Intelligence (386 citations). Lianghong Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xiaofang Yuan, Yaonan Wang, Shaowu Zhou, Zhaohua Liu, Cili Zuo, Hongqiang Zhang, Kan Liu, Chaoyang Chen, Zhenlong Chen and Hua‐Liang Wei. 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.