Mingyang Li
Impact in
- Ecological Modeling top 2%
- Species Distribution and Climate Change
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications
Papers in
- Ecology 28
- Remote Sensing in Agriculture 24
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- Remote Sensing and LiDAR Applications 22
- Co-authors
- Zhenzhen Liu (10 shared papers)Chao Li (8 shared papers)Lei Tian (9 shared papers)Tao Li (12 shared papers)Tao Yu (6 shared papers)Wenxue Fu (4 shared papers)Fang Ren (6 shared papers)Na Yin (2 shared papers)
- Journals
- Remote Sensing (11 papers)Forests (10 papers)Ecological Indicators (3 papers)Environmental Science and Pollution Research (2 papers)Sustainability (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Mingyang Li
72 papers receiving 1.6k citations
Mingyang Li's Hit Papers
Peers
Comparison fields: 5 of 115
- Ecological Modeling 202
- Environmental Engineering 608
- Nature and Landscape Conservation 452
- Ecology 660
- Global and Planetary Change 547
Countries citing papers authored by Mingyang Li
This map shows the geographic impact of Mingyang 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 Mingyang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyang Li more than expected).
Fields of papers citing papers by Mingyang Li
This network shows the impact of papers produced by Mingyang 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 Mingyang Li. The network helps show where Mingyang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyang Li, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms Hit paper breakdown → | 2020 | 283 |
| 2 | 2020 | 176 | |
| 3 | 2022 | 114 | |
| 4 | Review of Remote Sensing-Based Methods for Forest Aboveground Biomass Estimation: Progress, Challenges, and Prospects Hit paper breakdown → | 2023 | 106 |
| 5 | 2011 | 65 | |
| 6 | 2019 | 55 | |
| 7 | 2021 | 53 | |
| 8 | 2015 | 52 | |
| 9 | 2023 | 52 | |
| 10 | 2014 | 45 | |
| 11 | 2020 | 42 | |
| 12 | 2019 | 34 | |
| 13 | 2021 | 33 | |
| 14 | 2023 | 27 | |
| 15 | 2022 | 26 | |
| 16 | 2022 | 25 | |
| 17 | 2021 | 24 | |
| 18 | 2008 | 22 | |
| 19 | 2021 | 21 | |
| 20 | 2013 | 21 |
About Mingyang Li
Mingyang Li is a scholar working on Ecology, Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation and Atmospheric Science, having authored 75 papers that have together received 1.6k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (24 papers), Remote Sensing and LiDAR Applications (22 papers), Forest ecology and management (18 papers), Land Use and Ecosystem Services (13 papers), Tree-ring climate responses (5 papers), Remote Sensing and Land Use (5 papers), Species Distribution and Climate Change (5 papers) and Plant Water Relations and Carbon Dynamics (5 papers). The work is most often cited by research in Ecological Modeling (202 citations), Environmental Engineering (608 citations), Nature and Landscape Conservation (452 citations), Ecology (660 citations) and Global and Planetary Change (547 citations). Mingyang Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhenzhen Liu, Chao Li, Lei Tian, Tao Li, Tao Yu, Wenxue Fu, Fang Ren, Na Yin, Songqiu Deng and Qingwei Guan. Their work appears in journals such as Remote Sensing, Forests, Ecological Indicators, Environmental Science and Pollution Research and Sustainability.
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.