Mingkai Zheng

26 total papers · 590 total citations
9 papers, 267 citations indexed

About

Mingkai Zheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanics of Materials. According to data from OpenAlex, Mingkai Zheng has authored 9 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Mechanics of Materials. Recurrent topics in Mingkai Zheng's work include Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Multimodal Machine Learning Applications (3 papers). Mingkai Zheng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Multimodal Machine Learning Applications (3 papers). Mingkai Zheng collaborates with scholars based in China, Australia and Japan. Mingkai Zheng's co-authors include Shan You, Chen Qian, Lang Huang, Chang Xu, Fei Wang, Yuan Yao, Yi Liu, Kaixin Liu, Jianguo Yang and Fei Wang and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Industrial Informatics.

In The Last Decade

Mingkai Zheng

9 papers receiving 264 citations

Hit Papers

SimMatch: Semi-supervised... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Mingkai Zheng 120 103 49 39 30 9 267
Yurong Guo 100 0.8× 103 1.0× 23 0.5× 33 0.8× 12 0.4× 18 285
Zenglong Peng 94 0.8× 61 0.6× 19 0.4× 30 0.8× 20 0.7× 13 298
Xin Sun 138 1.1× 72 0.7× 14 0.3× 24 0.6× 10 0.3× 17 275
Boxiong Yang 51 0.4× 135 1.3× 15 0.3× 18 0.5× 16 0.5× 19 305
Yuehang Wang 79 0.7× 68 0.7× 16 0.3× 33 0.8× 57 1.9× 12 282
Jin Xu 69 0.6× 77 0.7× 8 0.2× 16 0.4× 17 0.6× 11 285
Bin Zhang 63 0.5× 76 0.7× 13 0.3× 97 2.5× 85 2.8× 13 317
Mengxi Li 126 1.1× 105 1.0× 73 1.5× 21 0.5× 4 0.1× 9 266
Jason C. Tillett 72 0.6× 43 0.4× 28 0.6× 13 0.3× 7 0.2× 17 303
Jingke Yan 31 0.3× 53 0.5× 25 0.5× 60 1.5× 22 0.7× 19 209

Countries citing papers authored by Mingkai Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Mingkai Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingkai Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Mingkai Zheng. A scholar is included among the top collaborators of Mingkai Zheng 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 Mingkai Zheng. Mingkai Zheng 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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