Fan Zhao

544 citations
21 papers · 368 · h-index 10

Impact in

Papers in

Fan Zhao

20 papers receiving 360 citations

Peers

Fan Zhao
Comparison fields: 5 of 62
  • Media Technology 217
  • Computer Vision and Pattern Recognition 214
  • Management Information Systems 52
  • Biophysics 27
  • Information Systems and Management 12
Replace Xinyi Wang with:
Xinyi Wang China
Shin’ichiro Matsuo Japan
Vineetha Menon United States
Jiajun Liang China
Rajesh Rohilla India
Suzana Loškovska North Macedonia
Xiaoqing Liu China
Zhijie Zhao China
Yu-Feng Hsu Taiwan
Fan Zhao relative to Xinyi Wang China Xinyi Wang's profile →
Citations per field
00.5×10×
Xinyi Wang · 1×
Citations per year

Countries citing papers authored by Fan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Fan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fan Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fan Zhao Line = papers co-authored together Fan Zhao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202166
2 201861
3 201958
4 200752
5 202033
6 202120
7 201710
8 201410
9 20159
10 20199
11 20248
12 20248
13 20237
14 20205
15 20183
16 20163
17 20252
18
An empirical study of enterprise system upgrades
20072
19 20181
20 20181

About Fan Zhao

Fan Zhao is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Management Information Systems, Computer Networks and Communications and Information Systems, having authored 21 papers that have together received 368 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (6 papers), Image Enhancement Techniques (3 papers), ERP Systems Implementation and Impact (3 papers), Image Processing Techniques and Applications (3 papers), Advanced Image Processing Techniques (3 papers), Remote-Sensing Image Classification (3 papers), Data Quality and Management (2 papers) and Information Technology Governance and Strategy (2 papers). The work is most often cited by research in Media Technology (217 citations), Computer Vision and Pattern Recognition (214 citations), Management Information Systems (52 citations), Biophysics (27 citations) and Information Systems and Management (12 citations). Fan Zhao has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Wenda Zhao, Huchuan Lu, Dong Wang, David L. Olson, Libo Yao, Yu Liu, Huimin Lu, Feng Qu, Xiaozhe Zhang and Xi Zhou. Their work appears in journals such as IEEE Access, IEEE Transactions on Multimedia, Information Fusion, Enterprise Information Systems and Applied Optics.

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.

Explore authors with similar magnitude of impact