Lei Wang
Impact in
- Global and Planetary Change top 0.5%
- Land Use and Ecosystem Services
- Plant Water Relations and Carbon Dynamics
- Environmental Engineering top 0.5%
- Remote Sensing and LiDAR Applications
Papers in
-
- Remote-Sensing Image Classification 35
-
- Land Use and Ecosystem Services 25
- Flood Risk Assessment and Management 15
- Environmental Changes in China 14
- Co-authors
- Peng GongRichard ArsenaultC.R. FengJustin V. RemaisJianyong WuElizabeth J. CarltonSong LiangQingwu Jiang
- Journals
- Remote Sensing (27 papers)International Journal of Remote Sensing (7 papers)Sustainability (6 papers)Remote Sensing of Environment (6 papers)International Journal of Applied Earth Observation and Geoinformation (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lei Wang
341 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Global and Planetary Change 2.6k
- Environmental Engineering 1.2k
- Atmospheric Science 1.2k
- Media Technology 599
- Ecology 1.7k
Countries citing papers authored by Lei Wang
This map shows the geographic impact of Lei Wang'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 Lei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Wang more than expected).
Fields of papers citing papers by Lei Wang
This network shows the impact of papers produced by Lei Wang. 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 Lei Wang. The network helps show where Lei Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 12 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 29 | |
| 13 | 2023 | 26 | |
| 14 | 2023 | 42 | |
| 15 | 2023 | 37 | |
| 16 | 2022 | 16 | |
| 17 | 2021 | 1 | |
| 18 | 2017 | 27 | |
| 19 | 2016 | 2 | |
| 20 | [Soil moisture dynamics of apple orchard in Loess Plateau dryland]. | 2015 | 1 |
About Lei Wang
Lei Wang is a scholar working on Media Technology, Global and Planetary Change, Atmospheric Science, Environmental Engineering and Ecology, having authored 376 papers that have together received 7.8k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (44 papers), Remote-Sensing Image Classification (35 papers), Remote Sensing and Land Use (33 papers), Remote Sensing and LiDAR Applications (28 papers), Land Use and Ecosystem Services (25 papers), Soil Carbon and Nitrogen Dynamics (22 papers), Flood Risk Assessment and Management (15 papers) and Environmental Changes in China (14 papers). The work is most often cited by research in Global and Planetary Change (2.6k citations), Environmental Engineering (1.2k citations), Atmospheric Science (1.2k citations), Media Technology (599 citations) and Ecology (1.7k citations). Lei Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peng Gong, Richard Arsenault, C.R. Feng, Justin V. Remais, Jianyong Wu, Elizabeth J. Carlton, Song Liang, Qingwu Jiang, Fang Chen and Luanyun Hu. Their work appears in journals such as Remote Sensing, International Journal of Remote Sensing, Sustainability, Remote Sensing of Environment and International Journal of Applied Earth Observation and Geoinformation.
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.