Jicai Huang
- Public Health, Environmental and Occupational Health top 1%
- Genetics top 2%
- Computer Networks and Communications top 2%
- Modeling and Simulation top 0.5%
- Sociology and Political Science top 10%
- Co-authors
- Shigui RuanMin LüDongmei XiaoJing SongJing ChenHao WangPei YuSanhong Liu
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (50 papers)Evolution and Genetic Dynamics (41 papers)Nonlinear Dynamics and Pattern Formation (15 papers)
- Journals
- Scientific ReportsJournal of Mathematical Analysis and ApplicationsPhysica D Nonlinear Phenomena
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jicai Huang
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 85
- Public Health, Environmental and Occupational Health 1.2k
- Genetics 875
- Computer Networks and Communications 442
- Modeling and Simulation 438
- Sociology and Political Science 140
Countries citing papers authored by Jicai Huang
This map shows the geographic impact of Jicai Huang'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 Jicai Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jicai Huang more than expected).
Fields of papers citing papers by Jicai Huang
This network shows the impact of papers produced by Jicai Huang. 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 Jicai Huang. The network helps show where Jicai Huang may publish in the future.
Co-authorship network of co-authors of Jicai Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Jicai Huang. A scholar is included among the top collaborators of Jicai Huang 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 Jicai Huang. Jicai Huang 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 | 7 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | 21 | |
| 14 | 28 | |
| 15 | 99 | |
| 16 | 6 | |
| 17 | 16 | |
| 18 | 14 | |
| 19 | 30 | |
| 20 | 3 |
About Jicai Huang
Jicai Huang is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (50 papers), Evolution and Genetic Dynamics (41 papers) and Nonlinear Dynamics and Pattern Formation (15 papers). The work is most often cited by research in Modeling and Simulation (438 citations), Public Health, Environmental and Occupational Health (1.2k citations) and Genetics (875 citations). Jicai Huang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shigui Ruan, Min Lü, Dongmei Xiao, Jing Song, Jing Chen, Hao Wang, Pei Yu, Sanhong Liu, Xinan Zhang and Zhujun Jing. Their work appears in journals such as Scientific Reports, Journal of Mathematical Analysis and Applications and Physica D Nonlinear Phenomena.
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.