Xiangli Li
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computational Mechanics top 10%
- Renewable Energy, Sustainability and the Environment
- Topics
- Control Systems and Identification (17 papers)Fault Detection and Control Systems (9 papers)Iterative Learning Control Systems (6 papers)
- Cited by
- Control and Systems EngineeringArtificial IntelligenceRenewable Energy, Sustainability and the Environment
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiangli Li
40 papers receiving 485 citations
Peers
Comparison fields: 5 of 62
- Control and Systems Engineering 282
- Artificial Intelligence 156
- Electrical and Electronic Engineering 122
- Computational Mechanics 71
- Renewable Energy, Sustainability and the Environment 61
Countries citing papers authored by Xiangli Li
This map shows the geographic impact of Xiangli Li'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 Xiangli Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangli Li more than expected).
Fields of papers citing papers by Xiangli Li
This network shows the impact of papers produced by Xiangli Li. 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 Xiangli Li. The network helps show where Xiangli Li may publish in the future.
Co-authorship network of co-authors of Xiangli Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangli Li. A scholar is included among the top collaborators of Xiangli Li 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 Xiangli Li. Xiangli Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 15 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 24 | |
| 9 | 33 | |
| 10 | 17 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | Fair aggregate marking algorithm in diffServ | 4 |
| 16 | Application of ant colony algorithm based on simulated annealing to continuous space optimization | 4 |
| 17 | 3 | |
| 18 | Scheme of Valve Shutoff in Fault of Heating Network | 0 |
| 19 | 0 | |
| 20 | 3 |
About Xiangli Li
Xiangli Li is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Artificial Intelligence, having authored 42 papers that have together received 502 indexed citations. Recurring topics across this work include Control Systems and Identification (17 papers), Fault Detection and Control Systems (9 papers) and Iterative Learning Control Systems (6 papers). The work is most often cited by research in Control and Systems Engineering (282 citations), Artificial Intelligence (156 citations) and Renewable Energy, Sustainability and the Environment (61 citations). Xiangli Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bogdan M. Wilamowski, Feng Pan, Jicheng Liu, Ya Gu, Yan Ji, Ruifeng Ding, Feng Ding, Hanhong Qi, Longqin Xu and Lu Wang. Their work appears in journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.