Mingzhi Mao

105 total papers · 1.4k total citations
71 papers, 954 citations indexed

About

Mingzhi Mao is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mingzhi Mao has authored 71 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 28 papers in Control and Systems Engineering and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mingzhi Mao's work include Neural Networks and Applications (15 papers), Adaptive Control of Nonlinear Systems (12 papers) and Robotic Mechanisms and Dynamics (10 papers). Mingzhi Mao is often cited by papers focused on Neural Networks and Applications (15 papers), Adaptive Control of Nonlinear Systems (12 papers) and Robotic Mechanisms and Dynamics (10 papers). Mingzhi Mao collaborates with scholars based in China, Hong Kong and United Kingdom. Mingzhi Mao's co-authors include Yunong Zhang, Jian Li, Shuai Li, Lin Xiao, Guanbin Li, Rong Pan, Shuangyin Li, Frank Uhlig, Dongsheng Guo and E C Chirwa and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Mingzhi Mao

67 papers receiving 932 citations

Author Peers

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

Author Last Decade Papers Cites
Mingzhi Mao 455 381 209 85 73 71 954
Gérard Bloch 453 1.0× 261 0.7× 244 1.2× 139 1.6× 37 0.5× 65 1.2k
Binbin Qiu 610 1.3× 303 0.8× 125 0.6× 100 1.2× 111 1.5× 82 857
Chih‐Min Lin 544 1.2× 377 1.0× 142 0.7× 82 1.0× 129 1.8× 71 1.0k
Suman Chakravorty 197 0.4× 306 0.8× 308 1.5× 58 0.7× 80 1.1× 94 796
Jesús Alberto Meda-Campaña 599 1.3× 308 0.8× 108 0.5× 116 1.4× 89 1.2× 83 1.1k
Xiuchun Xiao 457 1.0× 357 0.9× 198 0.9× 44 0.5× 105 1.4× 58 891
Jaime Pacheco 528 1.2× 272 0.7× 121 0.6× 92 1.1× 42 0.6× 61 961
Tuân-Tú Huỳnh 412 0.9× 407 1.1× 179 0.9× 49 0.6× 186 2.5× 52 1.1k
Jifeng Guo 211 0.5× 202 0.5× 226 1.1× 73 0.9× 38 0.5× 78 895
Xianqiang Yang 680 1.5× 206 0.5× 232 1.1× 116 1.4× 25 0.3× 64 1.1k

Countries citing papers authored by Mingzhi Mao

Since Specialization
Citations

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

Fields of papers citing papers by Mingzhi Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingzhi Mao

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