Mingxing Duan

575 citations
33 papers · 408 indexed · h-index 10
Topics
Adversarial Robustness in Machine Learning (7 papers)Generative Adversarial Networks and Image Synthesis (5 papers)Face recognition and analysis (5 papers)

In The Last Decade

Mingxing Duan

31 papers receiving 401 citations

Peers

Mingxing Duan
Comparison fields: 5 of 77
  • Artificial Intelligence 193
  • Computer Vision and Pattern Recognition 146
  • Control and Systems Engineering 94
  • Computer Networks and Communications 52
  • Signal Processing 49
Replace Tomi Räty with:
Tomi Räty Finland
Chao Yao China
Zhuangzhi Chen China
Yijie Zeng Singapore
Tarem Ahmed Bangladesh
M. M. Raghuwanshi India
Huanrui Yang United States
Zheng Dou China
Nannan Lu China
Mingxing Duan relative to Tomi Räty Finland Tomi Räty's profile →
Citations per field
00.5×6.3×
Tomi Räty · 1×
Citations per year

Countries citing papers authored by Mingxing Duan

Since Specialization
Citations

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

Fields of papers citing papers by Mingxing Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxing Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxing Duan. A scholar is included among the top collaborators of Mingxing Duan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingxing Duan. Mingxing Duan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 3
5 8
6 4
7 1
8 2
9 8
10 0
11 3
12 0
13 10
14 1
15 4
16 7
17 2
18 19
19 9
20 87

About Mingxing Duan

Mingxing Duan is a scholar working on Computational Mathematics, Artificial Intelligence and Hardware and Architecture, having authored 33 papers that have together received 408 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Face recognition and analysis (5 papers). The work is most often cited by research in Computational Mathematics (6 citations), Computer Vision and Pattern Recognition (146 citations) and Artificial Intelligence (193 citations). Mingxing Duan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kenli Li, Keqin Li, Lin Xiao, Bin Xiao, Qi Tian, Qi Tian, Guanghua Tan, Lingxi Xie, Guoqing Xiao and Aijia Ouyang. Their work appears in journals such as IEEE Transactions on Image Processing, Information Sciences and IEEE Transactions on Vehicular Technology.

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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