Peng Wan
Impact in
- Geology top 0.5%
- 3D Surveying and Cultural Heritage
- Environmental Engineering top 0.5%
- Remote Sensing and LiDAR Applications
Papers in
-
- Remote Sensing and LiDAR Applications 13
- Geology 9
- 3D Surveying and Cultural Heritage 9
- Co-authors
- Wuming Zhang (11 shared papers)Guangjian Yan (9 shared papers)Jianbo Qi (6 shared papers)Donghui Xie (1 shared paper)Xiaoyan Wang (1 shared paper)Hongtao Wang (1 shared paper)Shangshu Cai (5 shared papers)Tiejun Wang (4 shared papers)
- Journals
- Remote Sensing (4 papers)International Journal of Applied Earth Observation and Geoinformation (1 paper)Applied Sciences (1 paper)Journal of Cultural Heritage (1 paper)Agricultural and Forest Meteorology (1 paper)
- Partner nations
- ChinaNetherlandsFrance
In The Last Decade
Peng Wan
17 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Geology 702
- Environmental Engineering 1.2k
- Space and Planetary Science 50
- Nature and Landscape Conservation 344
- Ecology 473
Countries citing papers authored by Peng Wan
This map shows the geographic impact of Peng Wan'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 Peng Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Wan more than expected).
Fields of papers citing papers by Peng Wan
This network shows the impact of papers produced by Peng Wan. 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 Peng Wan. The network helps show where Peng Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Wan, 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 | An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation Hit paper breakdown → | 2016 | 1017 |
| 2 | 2019 | 92 | |
| 3 | 2019 | 65 | |
| 4 | 2018 | 42 | |
| 5 | 2022 | 29 | |
| 6 | 2018 | 28 | |
| 7 | 2018 | 26 | |
| 8 | 2021 | 26 | |
| 9 | 2020 | 21 | |
| 10 | 2019 | 20 | |
| 11 | 2003 | 13 | |
| 12 | 2018 | 10 | |
| 13 | 2022 | 7 | |
| 14 | 2023 | 2 | |
| 15 | 2014 | 2 | |
| 16 | 2010 | 2 | |
| 17 | Effects of the fertilization applications on tea(Camellia sinensis(L.) Kuntze) photosynthesis and the diurnal variation of the eco-physiological factors | 2008 | 1 |
| 18 | 2025 | 0 |
About Peng Wan
Peng Wan is a scholar working on Environmental Engineering, Geology, Nature and Landscape Conservation, Ecology and Insect Science, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (13 papers), 3D Surveying and Cultural Heritage (9 papers), Forest ecology and management (6 papers), Remote Sensing in Agriculture (4 papers), Forest Ecology and Biodiversity Studies (4 papers), 3D Modeling in Geospatial Applications (2 papers), Advanced Optical Network Technologies (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Geology (702 citations), Environmental Engineering (1.2k citations), Space and Planetary Science (50 citations), Nature and Landscape Conservation (344 citations) and Ecology (473 citations). Peng Wan has collaborated with scholars based in China, Netherlands and France. Frequent co-authors include Wuming Zhang, Guangjian Yan, Jianbo Qi, Donghui Xie, Xiaoyan Wang, Hongtao Wang, Shangshu Cai, Tiejun Wang, Xiuliang Jin and Yiming Chen. Their work appears in journals such as Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, Applied Sciences, Journal of Cultural Heritage and Agricultural and Forest Meteorology.
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.