Jin Wu

9.6k citations
181 papers · 5.6k · 3 hit papers · h-index 43

Impact in

Papers in

Jin Wu

167 papers receiving 5.5k citations

Jin Wu's Hit Papers

Enhancing ecosystem productivity and stability with increasing canopy structural complexity in global forests 2024 · 45 citations
450+3+7Years since publication100200300

Peers

Jin Wu
Comparison fields: 5 of 136
  • Global and Planetary Change 3.1k
  • Ecological Modeling 522
  • Ecology 2.9k
  • Environmental Engineering 1.1k
  • Nature and Landscape Conservation 820
Replace Shawn Serbin with:
Shawn Serbin United States
Guerric Le Maire France
Jing M. Chen Canada
Michele Meroni Italy
Dailiang Peng China
Christophe François France
Roberto Colombo Italy
George Alan Blackburn United Kingdom
Carol A. Wessman United States
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-authors

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

Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Photosynthetic seasonality of global tropical forests constrained by hydroclimate
Hit paper breakdown →
2015344
2 2017194
3 2012191
4 2018170
5 2019158
6 2017145
7 2020141
8 2019132
9 2016121
10
Rewetting global wetlands effectively reduces major greenhouse gas emissions
Hit paper breakdown →
2022120
11 2016120
12 2016109
13 2016108
14 2016108
15 2017107
16 2019106
17 2018100
18 202084
19 201884
20 202081

About Jin Wu

Jin Wu is a scholar working on Global and Planetary Change, Ecology, Plant Science, Environmental Engineering and Nature and Landscape Conservation, having authored 181 papers that have together received 5.6k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (73 papers), Plant Water Relations and Carbon Dynamics (55 papers), Species Distribution and Climate Change (22 papers), Land Use and Ecosystem Services (21 papers), Leaf Properties and Growth Measurement (19 papers), Remote Sensing and LiDAR Applications (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 (522 citations), Ecology (2.9k citations), Environmental Engineering (1.1k citations) and Nature and Landscape Conservation (820 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, Ran Meng, Jin Chen, Bruce Nelson, Alistair Rogers, John S. Kimball and Yadvinder Malhi. 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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