Ling Wu
Impact in
- Ecology top 2%
- Remote Sensing in Agriculture
- Media Technology top 2%
- Remote-Sensing Image Classification
Papers in
- Ecology 47
- Remote Sensing in Agriculture 46
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- Land Use and Ecosystem Services 22
- Co-authors
- Xiangnan Liu (36 shared papers)Meiling Liu (32 shared papers)Xiangnan Liu (14 shared papers)Chao Ding (5 shared papers)Lihong Zhu (6 shared papers)Feng Liu (4 shared papers)Yuanyuan Meng (4 shared papers)Weicui Ding (1 shared paper)
- Journals
- Remote Sensing (11 papers)IEEE Transactions on Geoscience and Remote Sensing (6 papers)International Journal of Applied Earth Observation and Geoinformation (6 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (6 papers)Sensors (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ling Wu
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 112
- Ecology 650
- Media Technology 215
- Global and Planetary Change 416
- Environmental Engineering 251
- Analytical Chemistry 147
Countries citing papers authored by Ling Wu
This map shows the geographic impact of Ling Wu'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 Ling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Wu more than expected).
Fields of papers citing papers by Ling Wu
This network shows the impact of papers produced by Ling Wu. 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 Ling Wu. The network helps show where Ling Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Wu, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 86 | |
| 2 | 2015 | 79 | |
| 3 | 2019 | 67 | |
| 4 | 2020 | 54 | |
| 5 | 2015 | 42 | |
| 6 | 2019 | 42 | |
| 7 | 2011 | 37 | |
| 8 | 2013 | 37 | |
| 9 | 2010 | 31 | |
| 10 | 2021 | 30 | |
| 11 | 2018 | 29 | |
| 12 | 2018 | 28 | |
| 13 | 2014 | 28 | |
| 14 | 2018 | 26 | |
| 15 | 2017 | 26 | |
| 16 | 2020 | 25 | |
| 17 | 2021 | 24 | |
| 18 | 2021 | 24 | |
| 19 | 2017 | 23 | |
| 20 | 2021 | 23 |
About Ling Wu
Ling Wu is a scholar working on Ecology, Global and Planetary Change, Plant Science, Environmental Engineering and Media Technology, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (46 papers), Land Use and Ecosystem Services (22 papers), Remote-Sensing Image Classification (12 papers), Leaf Properties and Growth Measurement (12 papers), Remote Sensing and Land Use (11 papers), Remote Sensing and LiDAR Applications (10 papers), Spectroscopy and Chemometric Analyses (8 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (5 papers). The work is most often cited by research in Ecology (650 citations), Media Technology (215 citations), Global and Planetary Change (416 citations), Environmental Engineering (251 citations) and Analytical Chemistry (147 citations). Ling Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiangnan Liu, Meiling Liu, Xiangnan Liu, Chao Ding, Lihong Zhu, Feng Liu, Yuanyuan Meng, Weicui Ding, Biyao Zhang and Botian Zhou. Their work appears in journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Sensors.
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.