Zefan Wang

546 total citations
14 papers, 302 citations indexed

About

Zefan Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Zefan Wang has authored 14 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Zefan Wang's work include Recommender Systems and Techniques (3 papers), Topic Modeling (2 papers) and Chaos-based Image/Signal Encryption (2 papers). Zefan Wang is often cited by papers focused on Recommender Systems and Techniques (3 papers), Topic Modeling (2 papers) and Chaos-based Image/Signal Encryption (2 papers). Zefan Wang collaborates with scholars based in China, Hong Kong and United States. Zefan Wang's co-authors include Feiran Huang, Xiao Huang, Zhetao Li, Panlong Yang, Jianwei Qian, Jiahui Hou, Xiangyang Li, Yu Wang, Mohamed R. Shoaib and Milad Taleby Ahvanooey and has published in prestigious journals such as Fuel, IEEE Transactions on Circuits and Systems for Video Technology and Chinese Chemical Letters.

In The Last Decade

Zefan Wang

12 papers receiving 295 citations

Peers

Zefan Wang
Comparison fields: 5 of 61
  • Artificial Intelligence 143
  • Information Systems 106
  • Computer Vision and Pattern Recognition 74
  • Human-Computer Interaction 58
  • Management Science and Operations Research 35
Replace Vikas Hassija with:
Vikas Hassija India
Volker Sorge United Kingdom
Kenji Kita Japan
Sanjoy Mahajan United States
Husniza Husni Malaysia
Laura Farinetti Italy
Daniel Krause Germany
Marcelo G. Armentano Argentina
Gorka Labaka Spain
David Martins de Matos Portugal
Vikas Hassija India View profile →
Citations per field, relative to Zefan Wang
Zefan Wang · 1×
Citations per year, relative to Zefan Wang
Zefan Wang · 1×

Countries citing papers authored by Zefan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zefan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zefan Wang

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 7
5 22
6 66
7 34
8 26
9 0
10 46
11 5
12 72
13 19
14 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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