Manli Zhu

21 total papers · 686 total citations
11 papers, 496 citations indexed

About

Manli Zhu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Manli Zhu has authored 11 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Manli Zhu's work include Face and Expression Recognition (5 papers), Advanced Statistical Methods and Models (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). Manli Zhu is often cited by papers focused on Face and Expression Recognition (5 papers), Advanced Statistical Methods and Models (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). Manli Zhu collaborates with scholars based in United States, China and Hong Kong. Manli Zhu's co-authors include Aleix M. Martı́nez, Hong Z. Tan, Bin He, Bam H.N. Razafindrabe, Qi Zhang, Jiahu Jiang, Ligang Xu, Yufei Tao, Jun Zhang and Dimitris Papadias and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and BMC Bioinformatics.

In The Last Decade

Manli Zhu

11 papers receiving 475 citations

Author Peers

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

Author Last Decade Papers Cites
Manli Zhu 346 171 91 76 54 11 496
Yanwei Pang 429 1.2× 105 0.6× 108 1.2× 110 1.4× 46 0.9× 11 544
Gökhan Bakır 372 1.1× 286 1.7× 67 0.7× 33 0.4× 19 0.4× 14 582
Fujin Zhong 343 1.0× 111 0.6× 82 0.9× 90 1.2× 40 0.7× 20 482
Jing Yang 245 0.7× 93 0.5× 100 1.1× 80 1.1× 42 0.8× 22 501
Michael Revow 314 0.9× 212 1.2× 76 0.8× 35 0.5× 36 0.7× 16 542
Donald H. Foley 232 0.7× 172 1.0× 57 0.6× 79 1.0× 76 1.4× 6 490
Chunhua Zhang 371 1.1× 325 1.9× 43 0.5× 37 0.5× 43 0.8× 8 513
Kyungim Baek 312 0.9× 71 0.4× 193 2.1× 43 0.6× 47 0.9× 18 505
Andrej Gisbrecht 203 0.6× 217 1.3× 37 0.4× 29 0.4× 17 0.3× 27 491
Lan Ma 159 0.5× 74 0.4× 51 0.6× 32 0.4× 14 0.3× 40 449

Countries citing papers authored by Manli Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Manli Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manli Zhu

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