M. Zhao

74 total papers · 3.1k total citations
21 papers, 1.8k citations indexed

About

M. Zhao is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, M. Zhao has authored 21 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Biomedical Engineering. Recurrent topics in M. Zhao's work include Indoor and Outdoor Localization Technologies (7 papers), EEG and Brain-Computer Interfaces (4 papers) and Video Surveillance and Tracking Methods (4 papers). M. Zhao is often cited by papers focused on Indoor and Outdoor Localization Technologies (7 papers), EEG and Brain-Computer Interfaces (4 papers) and Video Surveillance and Tracking Methods (4 papers). M. Zhao collaborates with scholars based in United States, China and Singapore. M. Zhao's co-authors include Dina Katabi, Fadel Adib, Tianhong Li, Antonio Torralba, Hang Zhao, Mohammad Abu Alsheikh, Yonglong Tian, Rumen Hristov, Yizhou Wang and Ruipeng Gao and has published in prestigious journals such as Nature Medicine, Communications of the ACM and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

M. Zhao

19 papers receiving 1.8k citations

Hit Papers

Through-Wall Human Pose E... 2016 2026 2019 2022 2018 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
M. Zhao 814 588 574 295 242 21 1.8k
Zachary Kabelac 1.2k 1.5× 800 1.4× 434 0.8× 223 0.8× 205 0.8× 18 2.0k
Chen Wang 453 0.6× 430 0.7× 732 1.3× 431 1.5× 245 1.0× 71 2.0k
Hongyu Zhao 512 0.6× 1.1k 1.8× 649 1.1× 365 1.2× 176 0.7× 83 2.3k
Yonglong Tian 432 0.5× 393 0.7× 1.1k 1.9× 217 0.7× 187 0.8× 23 1.8k
Rajalakshmi Nandakumar 774 1.0× 277 0.5× 233 0.4× 90 0.3× 220 0.9× 44 1.5k
Yu‐Liang Hsu 420 0.5× 382 0.6× 391 0.7× 102 0.3× 181 0.7× 59 1.6k
Shuangquan Wang 991 1.2× 388 0.7× 683 1.2× 103 0.3× 189 0.8× 82 2.1k
Sebastian Madgwick 561 0.7× 546 0.9× 310 0.5× 962 3.3× 156 0.6× 15 1.8k
Anfu Zhou 816 1.0× 317 0.5× 473 0.8× 234 0.8× 199 0.8× 80 1.6k
Jeen-Shing Wang 269 0.3× 453 0.8× 683 1.2× 112 0.4× 279 1.2× 60 2.1k

Countries citing papers authored by M. Zhao

Since Specialization
Citations

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

Fields of papers citing papers by M. Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Zhao

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