Liang Mao
- Transportation top 1%
- Modeling and Simulation top 1%
- Plant Science top 10%
- Pollution top 5%
- Global and Planetary Change top 10%
- Co-authors
- Dawn M. NekorchukYang GaoPei ZhouWanjun ShiLing BianChiyuan MiaoYan YangYongxue Liu
- Topics
- COVID-19 epidemiological studies (17 papers)Urban Transport and Accessibility (16 papers)Influenza Virus Research Studies (10 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Liang Mao
76 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 152
- Transportation 512
- Modeling and Simulation 250
- Plant Science 242
- Pollution 241
- Global and Planetary Change 228
Countries citing papers authored by Liang Mao
This map shows the geographic impact of Liang Mao'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 Liang Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Mao more than expected).
Fields of papers citing papers by Liang Mao
This network shows the impact of papers produced by Liang Mao. 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 Liang Mao. The network helps show where Liang Mao may publish in the future.
Co-authorship network of co-authors of Liang Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Mao. A scholar is included among the top collaborators of Liang Mao 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 Liang Mao. Liang Mao 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 | 0 | |
| 3 | 18 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 9 | |
| 10 | 10 | |
| 11 | 54 | |
| 12 | 28 | |
| 13 | 19 | |
| 14 | 271 | |
| 15 | [Temporal and spatial variation of non-point source nitrogen in surface water in urban agricultural region of Shanghai]. | 2 |
| 16 | 37 | |
| 17 | 51 | |
| 18 | Analysis of screening for autism in preschool children in Maoming | 1 |
| 19 | 31 | |
| 20 | Quantitative Analysis on the Spatial Structure of Town System in County-Scope Supported by GIS:A Case Study in Lin'an County,Zhejiang Province | 3 |
About Liang Mao
Liang Mao is a scholar working on Modeling and Simulation, Transportation and Health, having authored 78 papers that have together received 2.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (17 papers), Urban Transport and Accessibility (16 papers) and Influenza Virus Research Studies (10 papers). The work is most often cited by research in Transportation (512 citations), Modeling and Simulation (250 citations) and Pollution (241 citations). Liang Mao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Dawn M. Nekorchuk, Yang Gao, Pei Zhou, Wanjun Shi, Ling Bian, Chiyuan Miao, Yan Yang, Yongxue Liu, Jiaoe Wang and Youliang Qiu. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Journal of Hazardous Materials.
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.