Jin Wu

9.2k citations
178 papers · 5.3k indexed · h-index 41

Impact in

Papers in

Jin Wu

161 papers receiving 5.2k citations

Peers

Jin Wu
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
Replace Shawn Serbin with:
Shawn Serbin United States
Jing M. Chen Canada
Michele Meroni Italy
Dailiang Peng China
Guerric Le Maire France
Christophe François France
George Alan Blackburn United Kingdom
Carol A. Wessman United States
Roberto Colombo Italy
Damiano Gianelle Italy
Jin Wu relative to Shawn Serbin United States Shawn Serbin's profile →
Citations per field
00.5×1.5×1.9×
Shawn Serbin · 1×
Citations per year

Countries citing papers authored by Jin Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jin Wu Line = papers co-authored together Jin Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20242
4 20248
5 202418
6 202316
7 202310
8 202317
9 20231
10 202316
11 202323
12 202323
13 202334
14 202112
15 2020133
16 201974
17 2019154
18 201955
19 201819
20 2018166

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.

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