Mingxing Duan

21 total papers · 541 total citations
17 papers, 347 citations indexed

About

Mingxing Duan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mingxing Duan has authored 17 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Mingxing Duan's work include Anomaly Detection Techniques and Applications (3 papers), Parallel Computing and Optimization Techniques (2 papers) and Spam and Phishing Detection (2 papers). Mingxing Duan is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Parallel Computing and Optimization Techniques (2 papers) and Spam and Phishing Detection (2 papers). Mingxing Duan collaborates with scholars based in China, United States and Hong Kong. Mingxing Duan's co-authors include Kenli Li, Keqin Li, Xiangke Liao, Chao Jiang, Aijia Ouyang, Xiang Ruan, Qi Tian, Xu Zhou, Qi Tian and Zhuo Tang and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Mingxing Duan

16 papers receiving 341 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mingxing Duan 156 79 67 61 31 17 347
Ronnie Johansson 168 1.1× 51 0.6× 37 0.6× 30 0.5× 14 0.5× 19 342
G. Madhu 153 1.0× 60 0.8× 21 0.3× 82 1.3× 63 2.0× 27 356
Qinxue Meng 225 1.4× 59 0.7× 32 0.5× 48 0.8× 9 0.3× 9 388
Malek Ben Salem 97 0.6× 36 0.5× 155 2.3× 117 1.9× 24 0.8× 9 298
Lifang Gu 229 1.5× 54 0.7× 67 1.0× 68 1.1× 11 0.4× 11 378
Emil Gustavsson 200 1.3× 18 0.2× 55 0.8× 40 0.7× 19 0.6× 15 370
Jie Wang 132 0.8× 49 0.6× 43 0.6× 50 0.8× 45 1.5× 39 352
David Escudero García 242 1.6× 53 0.7× 69 1.0× 52 0.9× 14 0.5× 28 398
Ettore Ritacco 183 1.2× 53 0.7× 70 1.0× 156 2.6× 13 0.4× 28 355
Hao Wang 209 1.3× 61 0.8× 20 0.3× 30 0.5× 8 0.3× 14 335

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

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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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