Meng Gao
- Global and Planetary Change top 5%
- Ecology top 5%
- Soil Science top 5%
- Atmospheric Science top 10%
- Environmental Engineering top 5%
- Co-authors
- Zizhen LiYanyu ZhangHua LiuXiaoqing WuJicai NingHonghua ShiXiaohu WenChristian L. E. Franzke
- Topics
- Climate variability and models (16 papers)Meteorological Phenomena and Simulations (11 papers)Mathematical and Theoretical Epidemiology and Ecology Models (9 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Meng Gao
97 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 147
- Global and Planetary Change 370
- Ecology 275
- Soil Science 237
- Atmospheric Science 235
- Environmental Engineering 175
Countries citing papers authored by Meng Gao
This map shows the geographic impact of Meng Gao'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 Meng Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Gao more than expected).
Fields of papers citing papers by Meng Gao
This network shows the impact of papers produced by Meng Gao. 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 Meng Gao. The network helps show where Meng Gao may publish in the future.
Co-authorship network of co-authors of Meng Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Meng Gao. A scholar is included among the top collaborators of Meng Gao 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 Meng Gao. Meng Gao 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 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 39 | |
| 12 | 1 | |
| 13 | 26 | |
| 14 | 92 | |
| 15 | Effect of spatial structure on the evolution of cooperation based on game models | 4 |
| 16 | Particle swarm optimization algorithm for parameter estimation in Gamma-Poisson distribution model of k-tree distance | 0 |
| 17 | 1 | |
| 18 | 6 | |
| 19 | Bayesian parameter estimation in dynamic population model via particle Markov chain Monte Carlo | 2 |
| 20 | 4 |
About Meng Gao
Meng Gao is a scholar working on Global and Planetary Change, Oceanography and Atmospheric Science, having authored 109 papers that have together received 1.5k indexed citations. Recurring topics across this work include Climate variability and models (16 papers), Meteorological Phenomena and Simulations (11 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (9 papers). The work is most often cited by research in Soil Science (237 citations), Global and Planetary Change (370 citations) and Atmospheric Science (235 citations). Meng Gao has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Zizhen Li, Yanyu Zhang, Hua Liu, Xiaoqing Wu, Zizhen Li, Jicai Ning, Honghua Shi, Xiaohu Wen, Christian L. E. Franzke and Wenxin Huai. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.