Zhenwen Liang

432 total citations
18 papers, 221 citations indexed

About

Zhenwen Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Zhenwen Liang has authored 18 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Zhenwen Liang's work include Topic Modeling (6 papers), Advanced Image Processing Techniques (5 papers) and Natural Language Processing Techniques (5 papers). Zhenwen Liang is often cited by papers focused on Topic Modeling (6 papers), Advanced Image Processing Techniques (5 papers) and Natural Language Processing Techniques (5 papers). Zhenwen Liang collaborates with scholars based in United States, China and Saudi Arabia. Zhenwen Liang's co-authors include Xiangliang Zhang, Jie Shao, Rifan Hardian, György Székely, Lianli Gao, Heng Tao Shen, Xueliang Liu, Dongyang Zhang, Jipeng Zhang and Wenhao Yu and has published in prestigious journals such as Green Chemistry, Neurocomputing and Materials Science and Engineering R Reports.

In The Last Decade

Zhenwen Liang

16 papers receiving 218 citations

Peers

Zhenwen Liang
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 108
  • Media Technology 57
  • Artificial Intelligence 38
  • Biomedical Engineering 22
  • Materials Chemistry 20
Replace C. Seldev Christopher with:
C. Seldev Christopher India
Galal M. BinMakhashen Saudi Arabia
Jameel Ahmed Bhutto China
Zhibo Fan China
Sourour Ammar Tunisia
Yuheng Song China
S. Agnes Shifani India
Chaoqun Weng China
C. Seldev Christopher India View profile →
Citations per field, relative to Zhenwen Liang
Zhenwen Liang · 1×
Citations per year, relative to Zhenwen Liang
Zhenwen Liang · 1×

Countries citing papers authored by Zhenwen Liang

Since Specialization
Citations

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

Fields of papers citing papers by Zhenwen Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenwen Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenwen Liang. A scholar is included among the top collaborators of Zhenwen Liang 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 Zhenwen Liang. Zhenwen Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 0
5 1
6 2
7 11
8 9
9 14
10 11
11 11
12 22
13 25
14 5
15 62
16 38
17 6
18 2

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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