Zhengfa Liang

1.3k total citations
26 papers, 653 citations indexed

About

Zhengfa Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Zhengfa Liang has authored 26 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Zhengfa Liang's work include Advanced Vision and Imaging (13 papers), Advanced Image Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Zhengfa Liang is often cited by papers focused on Advanced Vision and Imaging (13 papers), Advanced Image Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Zhengfa Liang collaborates with scholars based in China and United States. Zhengfa Liang's co-authors include Yulan Guo, Hengzhu Liu, Yiliu Feng, Linbo Qiao, Jianfeng Zhang, Li Zhou, Wei Chen, Wei Chen, Wei An and Yingqian Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.

In The Last Decade

Zhengfa Liang

23 papers receiving 636 citations

Peers

Zhengfa Liang
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 571
  • Media Technology 173
  • Aerospace Engineering 103
  • Artificial Intelligence 52
  • Environmental Engineering 29
Replace Sunghoon Im with:
Sunghoon Im South Korea
Zhibo Rao China
E. Hayman United Kingdom
Hang Dong China
Zachary Teed United States
Mu Hu China
Zequn Qin China
Émilie Wirbel France
Mario Sormann Austria
Visesh Chari India
Sunghoon Im South Korea View profile →
Citations per field, relative to Zhengfa Liang
Zhengfa Liang · 1×
Citations per year, relative to Zhengfa Liang
Zhengfa Liang · 1×

Countries citing papers authored by Zhengfa Liang

Since Specialization
Citations

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

Fields of papers citing papers by Zhengfa Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengfa Liang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 17
5 6
6 7
7 18
8 5
9 102
10 92
11 80
12 0
13 10
14
Learning Deep Correspondence through Prior and Posterior Feature Constancy
18
15 3
16 11
17 1
18 11
19 18
20 1

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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