Manli Zhu

686 citations
11 papers · 498 indexed · h-index 8
Topics
Face and Expression Recognition (5 papers)Neural Networks and Applications (2 papers)Advanced Statistical Methods and Models (2 papers)

In The Last Decade

Manli Zhu

11 papers receiving 477 citations

Peers

Manli Zhu
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 347
  • Artificial Intelligence 171
  • Signal Processing 91
  • Media Technology 76
  • Analytical Chemistry 54
Replace Wey-Shiuan Hwang with:
Wey-Shiuan Hwang United States
Yanwei Pang China
Giorgos Sfikas Greece
Zongtan Zhou China
Kyungim Baek United States
Euisun Choi South Korea
Sang‐Woong Lee South Korea
E. Micheli-Tzanakou United States
Alaa Eleyan Türkiye
Yuanyuan Ding China
Manli Zhu relative to Wey-Shiuan Hwang United States Wey-Shiuan Hwang's profile →
Citations per field
00.5×1.5×2.5×
Wey-Shiuan Hwang · 1×
Citations per year

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

11 of 11 papers shown
#WorkIndexed citations
1 1
2 19
3 4
4 23
5 266
6
A study of the generalized eigenvalue decomposition in discriminant analysis
1
7 27
8 100
9 12
10 36
11 9

About Manli Zhu

Manli Zhu is a scholar working on Computer Vision and Pattern Recognition, Statistics and Probability and Analytical Chemistry, having authored 11 papers that have together received 498 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Neural Networks and Applications (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (347 citations), Media Technology (76 citations) and Signal Processing (91 citations). Manli Zhu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Aleix M. Martı́nez, Hong Z. Tan, Ligang Xu, Bam H.N. Razafindrabe, Jiahu Jiang, Qi Zhang, Bin He, Dik Lun Lee, Dimitris Papadias and Yufei Tao. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and BMC Bioinformatics.

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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