I-Fan Shen

39 total papers · 614 total citations
24 papers, 224 citations indexed

About

I-Fan Shen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, I-Fan Shen has authored 24 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 3 papers in Artificial Intelligence. Recurrent topics in I-Fan Shen's work include Image Retrieval and Classification Techniques (6 papers), Advanced Image Fusion Techniques (5 papers) and Medical Image Segmentation Techniques (4 papers). I-Fan Shen is often cited by papers focused on Image Retrieval and Classification Techniques (6 papers), Advanced Image Fusion Techniques (5 papers) and Medical Image Segmentation Techniques (4 papers). I-Fan Shen collaborates with scholars based in China, United Kingdom and United States. I-Fan Shen's co-authors include Wenbin Chen, Rong Hu, Qiyong Guo, Hongyu Li, Yibo Zhu, Hongyu Li, Xuping Fu, Hongyu Li, Li Teng and Kwan‐Liu Ma and has published in prestigious journals such as Physics of Fluids, Journal of the Optical Society of America A and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

I-Fan Shen

23 papers receiving 208 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
I-Fan Shen 184 63 27 16 16 24 224
Kia-Fock Loe 238 1.3× 48 0.8× 59 2.2× 11 0.7× 7 0.4× 17 298
In Kyu Park 277 1.5× 52 0.8× 23 0.9× 15 0.9× 14 0.9× 29 330
Xuhui Liu 145 0.8× 37 0.6× 47 1.7× 12 0.8× 6 0.4× 17 251
Minoru Maruyama 231 1.3× 55 0.9× 46 1.7× 13 0.8× 12 0.8× 44 302
Chen Guo 143 0.8× 23 0.4× 52 1.9× 15 0.9× 7 0.4× 24 207
Congcong Li 181 1.0× 23 0.4× 28 1.0× 10 0.6× 8 0.5× 20 266
Agnieszka Lisowska 126 0.7× 41 0.7× 19 0.7× 13 0.8× 6 0.4× 25 298
Chunyi Li 138 0.8× 47 0.7× 16 0.6× 5 0.3× 6 0.4× 24 221
Richard O. Eason 232 1.3× 23 0.4× 54 2.0× 18 1.1× 13 0.8× 19 306
Shankar Chatterjee 221 1.2× 31 0.5× 39 1.4× 7 0.4× 10 0.6× 19 294

Countries citing papers authored by I-Fan Shen

Since Specialization
Citations

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

Fields of papers citing papers by I-Fan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I-Fan Shen

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

All Works

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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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