Jun Du

2.4k citations
62 papers · 2.0k · 1 hit paper · h-index 24

Impact in

Papers in

Jun Du

60 papers receiving 2.0k citations

Jun Du's Hit Papers

Assessing the effects of ecological engineering on carbon storage by linking the CA-Markov and InVEST models 2018 · 318 citations
3180+2+5Years since publication100200300

Peers

Jun Du
Comparison fields: 5 of 97
  • Global and Planetary Change 985
  • Soil Science 319
  • Ecological Modeling 130
  • Atmospheric Science 388
  • Water Science and Technology 296
Replace Longfei Chen with:
Longfei Chen China
Stacy L. Hutchinson United States
Guangsheng Zhou China
Jinming Hu China
Meng Zhu China
Yuelin Li China
Yang Cao China
Jian‐Sheng Ye China
Zhixiang Wu China
Jun Du relative to Longfei Chen China Longfei Chen's profile →
Citations per field
00.5×4.6×
Longfei Chen · 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 62 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 →
2018318
2 2009124
3 2009112
4 2019102
5 201898
6 200985
7 201680
8 201275
9 200768
10 201463
11 202160
12 201457
13 201855
14 201552
15 201038
16
Climatic Trend of Rainfall over Tibetan Plateau from 1971 to 2000
200438
17 200937
18
Change of Temperature in Tibetan Plateau From 1961 to 2000
200130
19 201329
20 201728

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 62 papers that have together received 2.0k 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), Soil Carbon and Nitrogen Dynamics (8 papers), Hydrology and Watershed Management Studies (8 papers), Climate variability and models (7 papers) and Remote Sensing in Agriculture (7 papers). The work is most often cited by research in Global and Planetary Change (985 citations), Soil Science (319 citations), Ecological Modeling (130 citations), Atmospheric Science (388 citations) and Water Science and Technology (296 citations). Jun Du has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Longfei Chen, Zhibin He, Minmin Zhao, Shu Fang, He Huang, Xiao‐Jun Ji, Pengfei Lin, Xi Zhu, Pengfei Lin and Changxing Shi. Their work appears in journals such as Agricultural and Forest Meteorology, Forests, International Journal of Climatology, Environmental Earth Sciences 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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