Dongxia Chang

793 citations
34 papers · 546 · h-index 13

Impact in

Papers in

    • Face and Expression Recognition 11
    • Advanced Image and Video Retrieval Techniques 8
    • Image Retrieval and Classification Techniques 5
    • Medical Image Segmentation Techniques 4
    • Advanced Clustering Algorithms Research 11
    • Domain Adaptation and Few-Shot Learning 4

Dongxia Chang

31 papers receiving 522 citations

Peers

Dongxia Chang
Comparison fields: 5 of 71
  • Computational Mathematics 11
  • Computer Vision and Pattern Recognition 275
  • Artificial Intelligence 364
  • Media Technology 61
  • Signal Processing 50
Replace Xinzhong Zhu with:
Xinzhong Zhu China
Chris Ding United States
Peg Howland United States
Jihun Ham United States
Zhenqiu Shu China
Xihong Yang China
Thomas Bühler Germany
Man-Sheng Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Dongxia Chang

Since Specialization
Citations

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

Fields of papers citing papers by Dongxia Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Dongxia Chang, 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 Dongxia Chang Line = papers co-authored together Dongxia Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008131
2 202159
3 200941
4 202240
5 202237
6 202124
7 202022
8 200121
9 201121
10 202221
11 201617
12 202116
13 202214
14 202312
15 202212
16 201811
17 20249
18 20178
19 20116
20 20224

About Dongxia Chang

Dongxia Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics and Control and Systems Engineering, having authored 34 papers that have together received 546 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Advanced Clustering Algorithms Research (11 papers), Advanced Image and Video Retrieval Techniques (8 papers), Remote-Sensing Image Classification (6 papers), Sparse and Compressive Sensing Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers), Medical Image Segmentation Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Computational Mathematics (11 citations), Computer Vision and Pattern Recognition (275 citations), Artificial Intelligence (364 citations), Media Technology (61 citations) and Signal Processing (50 citations). Dongxia Chang has collaborated with scholars based in China and United States. Frequent co-authors include Yao Zhao, Yiming Wang, Xian‐Da Zhang, Zhiqiang Fu, Jie Wen, Changwen Zheng, Daoming Zhang, Xingxing Zhang, Matthias Steffen and Lieven M. K. Vandersypen. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

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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