Ming Zhu

260 total papers · 3.0k total citations
155 papers, 2.1k citations indexed

About

Ming Zhu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Ming Zhu has authored 155 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 22 papers in Computer Networks and Communications and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Ming Zhu's work include Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (14 papers) and Advanced Image Processing Techniques (12 papers). Ming Zhu is often cited by papers focused on Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (14 papers) and Advanced Image Processing Techniques (12 papers). Ming Zhu collaborates with scholars based in China, United States and United Kingdom. Ming Zhu's co-authors include Jinlin Wang, Zhongzhen Yang, Wei Wang, Xuewen Zeng, Zewei Zheng, Gexiang Zhang, Weiguo Feng, Ferrante Neri, Haina Rong and Rui Liu and has published in prestigious journals such as Langmuir, Carbon and Food Chemistry.

In The Last Decade

Ming Zhu

139 papers receiving 2.0k citations

Hit Papers

End-to-end encrypted traf... 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Ming Zhu 640 604 601 294 250 155 2.1k
Hari Mohan Pandey 932 1.5× 583 1.0× 908 1.5× 151 0.5× 100 0.4× 113 3.1k
Ravi Janardan 538 0.8× 291 0.5× 1.2k 2.0× 511 1.7× 234 0.9× 95 2.4k
Zhiyong Li 563 0.9× 529 0.9× 690 1.1× 81 0.3× 85 0.3× 189 2.4k
Jesús Martínez del Rincón 381 0.6× 396 0.7× 1.0k 1.7× 481 1.6× 116 0.5× 107 2.5k
Feng Zou 981 1.5× 289 0.5× 454 0.8× 251 0.9× 93 0.4× 126 2.2k
Anupam Shukla 612 1.0× 393 0.7× 876 1.5× 114 0.4× 77 0.3× 170 2.1k
Tao Li 974 1.5× 774 1.3× 315 0.5× 509 1.7× 112 0.4× 138 2.4k
Ali Ismail Awad 701 1.1× 905 1.5× 764 1.3× 560 1.9× 89 0.4× 81 2.4k
Zhenmin Tang 866 1.4× 177 0.3× 1.3k 2.2× 213 0.7× 190 0.8× 221 2.5k
S. Ramakrishnan 537 0.8× 207 0.3× 617 1.0× 338 1.1× 184 0.7× 198 1.9k

Countries citing papers authored by Ming Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhu

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