Mingtao Ding

54 papers receiving 694 citations

Peers

Mingtao Ding
Comparison fields: 5 of 90
  • Management, Monitoring, Policy and Law 369
  • Global and Planetary Change 233
  • Atmospheric Science 152
  • Media Technology 57
  • Safety, Risk, Reliability and Quality 53
Replace Paolo Allasia with:
Paolo Allasia Italy
Chengming Ye China
J.M.V. Grzybowski Brazil
Yuanzhen Ju China
Cheng Zhong China
J.A. Malpica Spain
Marco Baldo Italy
Xianyu Yu China
Fengyan Wang China
Mingtao Ding relative to Paolo Allasia Italy Paolo Allasia's profile →
Citations per field
00.5×3.6×
Paolo Allasia · 1×
Citations per year

Countries citing papers authored by Mingtao Ding

Since Specialization
Citations

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

Fields of papers citing papers by Mingtao Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202267
2 200954
3 202148
4 201545
5 202236
6 202329
7 202029
8 202127
9 201826
10 201525
11 201324
12 202024
13 202223
14 202122
15 201019
16 202017
17 201717
18 201416
19 201614
20 201110

About Mingtao Ding

Mingtao Ding is a scholar working on Management, Monitoring, Policy and Law, Atmospheric Science, Global and Planetary Change, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 63 papers that have together received 716 indexed citations. Recurring topics across this work include Landslides and related hazards (37 papers), Cryospheric studies and observations (16 papers), Flood Risk Assessment and Management (14 papers), Remote Sensing and Land Use (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Fire effects on ecosystems (7 papers), Medical Image Segmentation Techniques (6 papers) and Disaster Management and Resilience (6 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (369 citations), Global and Planetary Change (233 citations), Atmospheric Science (152 citations), Media Technology (57 citations) and Safety, Risk, Reliability and Quality (53 citations). Mingtao Ding has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Cheng Miao, Hongye Cao, Haixia Xu, Kaiheng Hu, Zhenhong Li, Liangzhi Li, Xiewen Hu, Sven Fuchs, Micha Heiser and Johannes Hübl. Their work appears in journals such as Natural Hazards, IEEE Geoscience and Remote Sensing Letters, Landslides, ISPRS Journal of Photogrammetry and Remote Sensing and International Journal of Disaster Risk Reduction.

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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