Jun Du

2.3k citations
61 papers · 1.9k indexed · 1 hit paper · h-index 23

Impact in

Papers in

Jun Du

60 papers receiving 1.9k citations

Hit Papers

Assessing the effects of ecological engineering on carbon storage by linking the CA-Markov and InVEST models 2018 · 303 citations
3030+2+5Years since publication100200300

Peers

Jun Du
Comparison fields: 5 of 98
  • Global and Planetary Change 949
  • Soil Science 314
  • Ecological Modeling 128
  • Atmospheric Science 373
  • Water Science and Technology 287
Replace Xiaoping Xin with:
Xiaoping Xin China
Longfei Chen China
Stacy L. Hutchinson United States
Jinming Hu China
Yuelin Li China
Guangsheng Zhou China
Meng Zhu China
Yang Cao China
Shengjun Wu China
Jun Du relative to Xiaoping Xin China Xiaoping Xin's profile →
Citations per field
00.5×2.8×
Xiaoping Xin · 1×
Citations per year

Countries citing papers authored by Jun Du

Since Specialization
Citations

This map shows the geographic impact of Jun Du'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 Jun Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Du more than expected).

Fields of papers citing papers by Jun Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Du. 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 Jun Du. The network helps show where Jun Du may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun Du, 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 Jun Du Line = papers co-authored together Jun Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Assessing the effects of ecological engineering on carbon storage by linking the CA-Markov and InVEST models
Hit paper breakdown →
2018303
2 2009117
3 2009105
4 201997
5 201894
6 200978
7 201677
8 201273
9 200764
10 201461
11 202158
12 201457
13 201552
14 201849
15 201038
16
Climatic Trend of Rainfall over Tibetan Plateau from 1971 to 2000
200437
17 200937
18 201329
19
Change of Temperature in Tibetan Plateau From 1961 to 2000
200129
20 201725

About Jun Du

Jun Du is a scholar working on Global and Planetary Change, Atmospheric Science, Ecology, Water Science and Technology and Soil Science, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (18 papers), Tree-ring climate responses (9 papers), Environmental and Agricultural Sciences (9 papers), Environmental Changes in China (8 papers), Hydrology and Watershed Management Studies (8 papers), Soil Carbon and Nitrogen Dynamics (8 papers), Species Distribution and Climate Change (7 papers) and Remote Sensing in Agriculture (7 papers). The work is most often cited by research in Global and Planetary Change (949 citations), Soil Science (314 citations), Ecological Modeling (128 citations), Atmospheric Science (373 citations) and Water Science and Technology (287 citations). Jun Du has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Longfei Chen, Zhibin He, Shu Fang, Minmin Zhao, Xiao‐Jun Ji, He Huang, Pengfei Lin, Xi Zhu, Changxing Shi and Pengfei Lin. Their work appears in journals such as Agricultural and Forest Meteorology, Forests, International Journal of Climatology, International Journal of Remote Sensing and Trees.

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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