Runmin Dong

36 papers receiving 895 citations

Peers

Runmin Dong
Comparison fields: 5 of 80
  • Media Technology 325
  • Environmental Engineering 268
  • Ecology 349
  • Computer Vision and Pattern Recognition 253
  • Global and Planetary Change 193
Replace Juepeng Zheng with:
Juepeng Zheng China
Gonzalo Mateo‐García Spain
Lianzhi Huo China
Mohammad D. Hossain Canada
Seyd Teymoor Seydi Iran
Lloyd Haydn Hughes Germany
Tianjun Wu China
S. Khorram United States
Zhaohui Xue China
Yong Du China
Runmin Dong relative to Juepeng Zheng China Juepeng Zheng's profile →
Citations per field
00.5×1.5×
Juepeng Zheng · 1×
Citations per year

Countries citing papers authored by Runmin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Runmin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018134
2 2019125
3 202185
4 202073
5 202263
6 202241
7 202137
8 202435
9 201935
10 202133
11 201933
12 202024
13 202123
14 201923
15 202418
16 202314
17 201914
18 202014
19 20249
20 20239

About Runmin Dong

Runmin Dong is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Ecology, Environmental Engineering and Atmospheric Science, having authored 38 papers that have together received 905 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (13 papers), Remote Sensing in Agriculture (9 papers), Remote Sensing and LiDAR Applications (9 papers), Advanced Image Fusion Techniques (8 papers), Oil Palm Production and Sustainability (7 papers), Remote Sensing and Land Use (6 papers), Automated Road and Building Extraction (6 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Media Technology (325 citations), Environmental Engineering (268 citations), Ecology (349 citations), Computer Vision and Pattern Recognition (253 citations) and Global and Planetary Change (193 citations). Runmin Dong has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Haohuan Fu, Weijia Li, Le Yu, Lixian Zhang, Juepeng Zheng, Peng Gong, Shuai Yuan, Jie Wang, Wenzhao Wu and Lin Gan. Their work appears in journals such as Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, International Journal of Applied Earth Observation and Geoinformation and IEEE Transactions on Cybernetics.

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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