Ming He
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 5%
- Public Health, Environmental and Occupational Health
- Aerospace Engineering
- Electrical and Electronic Engineering
- Topics
- Distributed Control Multi-Agent Systems (13 papers)Neural Networks Stability and Synchronization (10 papers)Mathematical and Theoretical Epidemiology and Ecology Models (6 papers)
- Cited by
- Computer Networks and CommunicationsControl and Systems EngineeringPublic Health, Environmental and Occupational Health
- Journals
- NeurocomputingJournal of the Franklin InstituteEngineering Applications of Artificial Intelligence
- Partner nations
- China
In The Last Decade
Ming He
16 papers receiving 350 citations
Peers
Comparison fields: 5 of 41
- Computer Networks and Communications 295
- Control and Systems Engineering 156
- Public Health, Environmental and Occupational Health 57
- Aerospace Engineering 46
- Electrical and Electronic Engineering 32
Countries citing papers authored by Ming He
This map shows the geographic impact of Ming He'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 Ming He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming He more than expected).
Fields of papers citing papers by Ming He
This network shows the impact of papers produced by Ming He. 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 Ming He. The network helps show where Ming He may publish in the future.
Co-authorship network of co-authors of Ming He
This figure shows the co-authorship network connecting the top 25 collaborators of Ming He. A scholar is included among the top collaborators of Ming He 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 Ming He. Ming He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 42 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 95 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 26 | |
| 11 | 37 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 114 | |
| 16 | 1 |
About Ming He
Ming He is a scholar working on Computer Networks and Communications, Energy Engineering and Power Technology and Control and Systems Engineering, having authored 16 papers that have together received 353 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (13 papers), Neural Networks Stability and Synchronization (10 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (6 papers). The work is most often cited by research in Computer Networks and Communications (295 citations), Control and Systems Engineering (156 citations) and Public Health, Environmental and Occupational Health (57 citations). Ming He has collaborated with scholars based in China. Frequent co-authors include Jianxiang Xi, Guangbin Liu, Hao Liu, Jianfei Zheng, Le Wang, Jianxiang Xi, Zhong Wang, Jintao Liu, Junling Wang and Peng Xu. Their work appears in journals such as Neurocomputing, Journal of the Franklin Institute and Engineering Applications of Artificial Intelligence.
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.