Guangxing Wang
Impact in
- Environmental Engineering top 0.2%
- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
-
- Forest ecology and management
Papers in
-
- Remote Sensing and LiDAR Applications 54
- Soil Geostatistics and Mapping 21
- Ecology 65
- Remote Sensing in Agriculture 57
- Co-authors
- Dengsheng Lu (7 shared papers)Qi Chen (3 shared papers)Lijuan Liu (3 shared papers)Guiying Li (3 shared papers)Emilio F. Morán (2 shared papers)Hua Sun (20 shared papers)George Z. Gertner (12 shared papers)Alan B. Anderson (14 shared papers)
- Journals
- Remote Sensing (25 papers)Sensors (6 papers)Sustainability (5 papers)Environmental Management (4 papers)International Journal of Remote Sensing (4 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Guangxing Wang
135 papers receiving 4.4k citations
Guangxing Wang's Hit Papers
Peers
Comparison fields: 5 of 147
- Environmental Engineering 2.4k
- Nature and Landscape Conservation 1.4k
- Ecology 2.1k
- Global and Planetary Change 1.2k
- Soil Science 355
Countries citing papers authored by Guangxing Wang
This map shows the geographic impact of Guangxing 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 Guangxing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangxing Wang more than expected).
Fields of papers citing papers by Guangxing Wang
This network shows the impact of papers produced by Guangxing 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 Guangxing Wang. The network helps show where Guangxing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangxing 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
Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems Hit paper breakdown → | 2014 | 646 |
| 2 | 2012 | 214 | |
| 3 | 2016 | 208 | |
| 4 | 2018 | 171 | |
| 5 | 2020 | 157 | |
| 6 | 2019 | 141 | |
| 7 | 2016 | 123 | |
| 8 | 2018 | 109 | |
| 9 | 2015 | 95 | |
| 10 | 2002 | 94 | |
| 11 | 2003 | 87 | |
| 12 | 2016 | 77 | |
| 13 | 2019 | 67 | |
| 14 | 2010 | 64 | |
| 15 | 2019 | 61 | |
| 16 | 2009 | 61 | |
| 17 | 2018 | 58 | |
| 18 | 2017 | 53 | |
| 19 | 2011 | 50 | |
| 20 | 2019 | 50 |
About Guangxing Wang
Guangxing Wang is a scholar working on Environmental Engineering, Ecology, Global and Planetary Change, Nature and Landscape Conservation and Management, Monitoring, Policy and Law, having authored 142 papers that have together received 4.5k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (57 papers), Remote Sensing and LiDAR Applications (54 papers), Forest ecology and management (33 papers), Land Use and Ecosystem Services (24 papers), Soil Geostatistics and Mapping (21 papers), Remote Sensing and Land Use (11 papers), Remote-Sensing Image Classification (11 papers) and Soil and Land Suitability Analysis (11 papers). The work is most often cited by research in Environmental Engineering (2.4k citations), Nature and Landscape Conservation (1.4k citations), Ecology (2.1k citations), Global and Planetary Change (1.2k citations) and Soil Science (355 citations). Guangxing Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Dengsheng Lu, Qi Chen, Lijuan Liu, Guiying Li, Emilio F. Morán, Hua Sun, George Z. Gertner, Alan B. Anderson, Liyong Fu and Hui Lin. Their work appears in journals such as Remote Sensing, Sensors, Sustainability, Environmental Management and International Journal of Remote Sensing.
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.