Mingjun Ding

2.6k citations
57 papers · 2.2k · h-index 25

Impact in

Papers in

    • Land Use and Ecosystem Services 17
    • Environmental Changes in China 11
    • Flood Risk Assessment and Management 5
    • Plant Water Relations and Carbon Dynamics 5
    • Climate variability and models 5
    • Remote Sensing in Agriculture 20

Mingjun Ding

54 papers receiving 2.1k citations

Peers

Mingjun Ding
Comparison fields: 5 of 84
  • Ecological Modeling 285
  • Global and Planetary Change 1.3k
  • Ecology 1.1k
  • Atmospheric Science 595
  • Management, Monitoring, Policy and Law 324
Replace Gianluca Filippa with:
Gianluca Filippa Italy
Jiangbo Gao China
Xiangjin Shen China
Yeqiao Wang United States
Yongxia Ding China
M. S. R. Murthy India
Terry L. Sohl United States
Ursula Geßner Germany
Cyrus Samimi Germany
Kabir Uddin Nepal
Mingjun Ding relative to Gianluca Filippa Italy Gianluca Filippa's profile →
Citations per field
00.5×1.5×2.0×
Gianluca Filippa · 1×
Citations per year

Countries citing papers authored by Mingjun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019195
2 2016161
3 2007159
4 2014152
5 2012148
6 2017109
7 2017108
8 201996
9 202095
10 201891
11 201880
12 200663
13 201553
14 200949
15 202047
16 201447
17 200642
18 201642
19 201235
20 202031

About Mingjun Ding

Mingjun Ding is a scholar working on Global and Planetary Change, Ecology, Atmospheric Science, Ecological Modeling and Pollution, having authored 57 papers that have together received 2.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (20 papers), Land Use and Ecosystem Services (17 papers), Remote Sensing and Land Use (12 papers), Environmental Changes in China (11 papers), Species Distribution and Climate Change (9 papers), Flood Risk Assessment and Management (5 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Climate variability and models (5 papers). The work is most often cited by research in Ecological Modeling (285 citations), Global and Planetary Change (1.3k citations), Ecology (1.1k citations), Atmospheric Science (595 citations) and Management, Monitoring, Policy and Law (324 citations). Mingjun Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yili Zhang, Linshan Liu, Wanqi Bai, Lanhui Li, Zhaofeng Wang, Shicheng Li, Huamin Zhang, Zhaofeng Wang, Zheng Du and Basanta Paudel. Their work appears in journals such as Journal of Geographical Sciences, Remote Sensing, Ecological Indicators, The Science of The Total Environment and International Journal of Applied Earth Observation and Geoinformation.

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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