Kaihong Lu
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 10%
- Public Health, Environmental and Occupational Health
- Management Science and Operations Research top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Long WangGangshan JingQixin ZhuYuanshi ZhengGuangqi LiHuanshui ZhangXiaojie ChenAttila Szolnoki
- Topics
- Distributed Control Multi-Agent Systems (26 papers)Mathematical and Theoretical Epidemiology and Ecology Models (11 papers)Neural Networks Stability and Synchronization (8 papers)
- Cited by
- Computer Networks and CommunicationsManagement Science and Operations ResearchComputational Theory and Mathematics
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kaihong Lu
32 papers receiving 488 citations
Peers
Comparison fields: 5 of 60
- Computer Networks and Communications 344
- Control and Systems Engineering 126
- Public Health, Environmental and Occupational Health 121
- Management Science and Operations Research 115
- Computational Theory and Mathematics 93
Countries citing papers authored by Kaihong Lu
This map shows the geographic impact of Kaihong Lu'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 Kaihong Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaihong Lu more than expected).
Fields of papers citing papers by Kaihong Lu
This network shows the impact of papers produced by Kaihong Lu. 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 Kaihong Lu. The network helps show where Kaihong Lu may publish in the future.
Co-authorship network of co-authors of Kaihong Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Kaihong Lu. A scholar is included among the top collaborators of Kaihong Lu 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 Kaihong Lu. Kaihong Lu 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 | 2 | |
| 3 | 27 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 14 | |
| 9 | 16 | |
| 10 | 2 | |
| 11 | 40 | |
| 12 | 10 | |
| 13 | 7 | |
| 14 | 46 | |
| 15 | 1 | |
| 16 | 125 | |
| 17 | 16 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | Robust Guaranteed Cost Control for Networked Control System with Actuator Failure | 2 |
About Kaihong Lu
Kaihong Lu is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Computational Theory and Mathematics, having authored 35 papers that have together received 495 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (26 papers), Mathematical and Theoretical Epidemiology and Ecology Models (11 papers) and Neural Networks Stability and Synchronization (8 papers). The work is most often cited by research in Computer Networks and Communications (344 citations), Management Science and Operations Research (115 citations) and Computational Theory and Mathematics (93 citations). Kaihong Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Long Wang, Gangshan Jing, Qixin Zhu, Yuanshi Zheng, Guangqi Li, Huanshui Zhang, Xiaojie Chen, Attila Szolnoki, Bo Wei and Feng Xiao. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Cybernetics.
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.