Hongmin Li
- Electrical and Electronic Engineering top 10%
- Environmental Engineering top 5%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- Jianzhou WangHaiyan LuHufang YangRanran LiPing JiangYing WangZhenhai GuoZhiwu Li
- Topics
- Energy Load and Power Forecasting (14 papers)Air Quality Monitoring and Forecasting (11 papers)Grey System Theory Applications (7 papers)
- Cited by
- Management Science and Operations ResearchEnvironmental EngineeringEnergy Engineering and Power Technology
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Hongmin Li
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Electrical and Electronic Engineering 601
- Environmental Engineering 269
- Artificial Intelligence 265
- Management Science and Operations Research 260
- Health, Toxicology and Mutagenesis 159
Countries citing papers authored by Hongmin Li
This map shows the geographic impact of Hongmin 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 Hongmin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongmin Li more than expected).
Fields of papers citing papers by Hongmin Li
This network shows the impact of papers produced by Hongmin 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 Hongmin Li. The network helps show where Hongmin Li may publish in the future.
Co-authorship network of co-authors of Hongmin Li
This figure shows the co-authorship network connecting the top 25 collaborators of Hongmin Li. A scholar is included among the top collaborators of Hongmin 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 Hongmin Li. Hongmin 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 | 6 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 27 | |
| 5 | 36 | |
| 6 | 3 | |
| 7 | 45 | |
| 8 | 23 | |
| 9 | 56 | |
| 10 | 74 | |
| 11 | 34 | |
| 12 | 41 | |
| 13 | 115 | |
| 14 | 98 | |
| 15 | 1 | |
| 16 | 16 | |
| 17 | 14 | |
| 18 | 4 | |
| 19 | 20 | |
| 20 | 1 |
About Hongmin Li
Hongmin Li is a scholar working on Environmental Engineering, Management Science and Operations Research and Health, Toxicology and Mutagenesis, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (14 papers), Air Quality Monitoring and Forecasting (11 papers) and Grey System Theory Applications (7 papers). The work is most often cited by research in Management Science and Operations Research (260 citations), Environmental Engineering (269 citations) and Energy Engineering and Power Technology (38 citations). Hongmin Li has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Jianzhou Wang, Haiyan Lu, Hufang Yang, Ranran Li, Ping Jiang, Ying Wang, Zhenhai Guo, Zhiwu Li, M. J. Braun and Ying Wang. Their work appears in journals such as Journal of Cleaner Production, Environmental Pollution and Applied Energy.
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.