Jin Wu
Impact in
- Global and Planetary Change top 0.5%
- Plant Water Relations and Carbon Dynamics
- Land Use and Ecosystem Services
- Ecological Modeling top 1%
- Species Distribution and Climate Change
Papers in
-
- Species Distribution and Climate Change 21
-
- Plant Water Relations and Carbon Dynamics 55
- Land Use and Ecosystem Services 21
- Co-authors
- Kaiyu GuanS. R. SaleskaShawn SerbinCarl J. BernacchiJin ChenRan MengBruce NelsonAlistair Rogers
- Journals
- Remote Sensing of Environment (23 papers)New Phytologist (14 papers)ISPRS Journal of Photogrammetry and Remote Sensing (10 papers)Global Change Biology (8 papers)Agricultural and Forest Meteorology (5 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jin Wu
161 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 135
- Global and Planetary Change 3.1k
- Ecological Modeling 525
- Ecology 2.8k
- Environmental Engineering 1.0k
- Nature and Landscape Conservation 801
Countries citing papers authored by Jin Wu
This map shows the geographic impact of Jin 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 Jin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Wu more than expected).
Fields of papers citing papers by Jin Wu
This network shows the impact of papers produced by Jin 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 Jin Wu. The network helps show where Jin Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 18 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 23 | |
| 12 | 2023 | 23 | |
| 13 | 2023 | 34 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 133 | |
| 16 | 2019 | 74 | |
| 17 | 2019 | 154 | |
| 18 | 2019 | 55 | |
| 19 | 2018 | 19 | |
| 20 | 2018 | 166 |
About Jin Wu
Jin Wu is a scholar working on Ecological Modeling, Global and Planetary Change, Ecology, Nature and Landscape Conservation and Computational Mathematics, having authored 178 papers that have together received 5.3k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (72 papers), Plant Water Relations and Carbon Dynamics (55 papers), Land Use and Ecosystem Services (21 papers), Species Distribution and Climate Change (21 papers), Remote Sensing and LiDAR Applications (18 papers), Leaf Properties and Growth Measurement (18 papers), Plant responses to elevated CO2 (16 papers) and Ecology and Vegetation Dynamics Studies (15 papers). The work is most often cited by research in Global and Planetary Change (3.1k citations), Ecological Modeling (525 citations), Ecology (2.8k citations), Environmental Engineering (1.0k citations) and Nature and Landscape Conservation (801 citations). Jin Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kaiyu Guan, S. R. Saleska, Shawn Serbin, Carl J. Bernacchi, Jin Chen, Ran Meng, Bruce Nelson, Alistair Rogers, Yadvinder Malhi and John S. Kimball. Their work appears in journals such as Remote Sensing of Environment, New Phytologist, ISPRS Journal of Photogrammetry and Remote Sensing, Global Change Biology 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.