Chun Du

592 citations
28 papers · 420 · h-index 11

Impact in

Papers in

Chun Du

25 papers receiving 411 citations

Peers

Chun Du
Comparison fields: 5 of 63
  • Media Technology 144
  • Ocean Engineering 140
  • Environmental Engineering 116
  • Space and Planetary Science 9
  • Computer Vision and Pattern Recognition 126
Replace Dongfang Yang with:
Dongfang Yang China
Evangelos Maltezos Greece
Ting Cao China
Ken Sakurada Japan
Yiping Gong China
Marc Spigai France
Jingxian Yu China
Chun Du relative to Dongfang Yang China Dongfang Yang's profile →
Citations per field
00.5×1.5×2.3×
Dongfang Yang · 1×
Citations per year

Countries citing papers authored by Chun Du

Since Specialization
Citations

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

Fields of papers citing papers by Chun Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202369
2 201948
3 202245
4 202241
5 202133
6 201830
7 202226
8 202223
9 201820
10 202313
11 201312
12 20209
13 20208
14 20218
15 20177
16 20167
17 20124
18 20223
19 20133
20 20233

About Chun Du

Chun Du is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Ocean Engineering, Media Technology and Computer Networks and Communications, having authored 28 papers that have together received 420 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Automated Road and Building Extraction (5 papers), Satellite Communication Systems (5 papers), Remote-Sensing Image Classification (5 papers), Remote Sensing and LiDAR Applications (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Optimization and Search Problems (4 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Media Technology (144 citations), Ocean Engineering (140 citations), Environmental Engineering (116 citations), Space and Planetary Science (9 citations) and Computer Vision and Pattern Recognition (126 citations). Chun Du has collaborated with scholars based in China and United States. Frequent co-authors include Hao Chen, Jiangjiang Wu, Jun Li, Ning Jing, Wei Xiong, Jun Li, Hao Chen, Jing Ning, Weidong Wu and Rong Chen. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, Nuclear Materials and Energy, ISPRS Journal of Photogrammetry and Remote Sensing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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