Wu Ma
Impact in
-
- Forest ecology and management
- Ecology and Vegetation Dynamics Studies
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
Papers in
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- Plant Water Relations and Carbon Dynamics 9
- Fire effects on ecosystems 8
- Forest Management and Policy 6
- Land Use and Ecosystem Services 5
-
- Forest ecology and management 15
- Ecology and Vegetation Dynamics Studies 4
- Co-authors
- Jinghui Meng (5 shared papers)Qingwang Liu (2 shared papers)Shiming Li (2 shared papers)Lijuan Zhu (2 shared papers)Jiakai Liu (2 shared papers)Zhenming Zhang (2 shared papers)Mo Zhou (4 shared papers)Xiangdong Lei (3 shared papers)
- Journals
- Forests (8 papers)Remote Sensing (3 papers)Forest Science (2 papers)Ecological Indicators (2 papers)Atmosphere (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Wu Ma
35 papers receiving 568 citations
Peers
Comparison fields: 5 of 74
- Nature and Landscape Conservation 180
- Environmental Engineering 183
- Global and Planetary Change 269
- Health, Toxicology and Mutagenesis 95
- Ecology 157
Countries citing papers authored by Wu Ma
This map shows the geographic impact of Wu Ma'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 Wu Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Ma more than expected).
Fields of papers citing papers by Wu Ma
This network shows the impact of papers produced by Wu Ma. 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 Wu Ma. The network helps show where Wu Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 79 | |
| 2 | 2016 | 44 | |
| 3 | 2016 | 43 | |
| 4 | 2016 | 41 | |
| 5 | 2018 | 39 | |
| 6 | 2016 | 37 | |
| 7 | 2021 | 26 | |
| 8 | 2016 | 25 | |
| 9 | 2017 | 21 | |
| 10 | 2016 | 21 | |
| 11 | 2015 | 18 | |
| 12 | 2019 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2017 | 13 | |
| 15 | 2019 | 13 | |
| 16 | 2016 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2017 | 10 | |
| 20 | 2020 | 9 |
About Wu Ma
Wu Ma is a scholar working on Global and Planetary Change, Nature and Landscape Conservation, Environmental Engineering, Ecology and Atmospheric Science, having authored 35 papers that have together received 573 indexed citations. Recurring topics across this work include Forest ecology and management (15 papers), Plant Water Relations and Carbon Dynamics (9 papers), Remote Sensing and LiDAR Applications (8 papers), Fire effects on ecosystems (8 papers), Remote Sensing in Agriculture (6 papers), Forest Management and Policy (6 papers), Land Use and Ecosystem Services (5 papers) and Ecology and Vegetation Dynamics Studies (4 papers). The work is most often cited by research in Nature and Landscape Conservation (180 citations), Environmental Engineering (183 citations), Global and Planetary Change (269 citations), Health, Toxicology and Mutagenesis (95 citations) and Ecology (157 citations). Wu Ma has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jinghui Meng, Qingwang Liu, Shiming Li, Lijuan Zhu, Jiakai Liu, Zhenming Zhang, Mo Zhou, Xiangdong Lei, Dexiang Wang and Jingjing Liang. Their work appears in journals such as Forests, Remote Sensing, Forest Science, Ecological Indicators and Atmosphere.
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.