Anfei Fan

1.1k citations
6 papers · 699 indexed · 1 hit paper · h-index 3
Topics
Medical Image Segmentation Techniques (2 papers)Image Retrieval and Classification Techniques (2 papers)Image and Object Detection Techniques (2 papers)
Journals
IEEE Transactions on Medical ImagingKnowledge-Based SystemsJournal of Chemical Information and Computer Sciences

In The Last Decade

Anfei Fan

5 papers receiving 668 citations

Hit Papers

A shape-based approach to the segmentation of medical ima...20032026201020182003200400600

Peers

Anfei Fan
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 585
  • Radiology, Nuclear Medicine and Imaging 160
  • Artificial Intelligence 132
  • Biomedical Engineering 105
  • Aerospace Engineering 56
Replace Sheshadri Thiruvenkadam with:
Sheshadri Thiruvenkadam United States
Hüseyin Tek United States
Yonggang Shi China
Klaus D. Toennies Germany
Paulo A. V. Miranda Brazil
George J. Grevera United States
Jane Haslam United Kingdom
Amir Hossein Foruzan Iran
Michalis A. Savelonas Greece
Bisser Raytchev Japan
Anfei Fan relative to Sheshadri Thiruvenkadam United States Sheshadri Thiruvenkadam's profile →
Citations per field
00.5×3.5×
Sheshadri Thiruvenkadam · 1×
Citations per year

Countries citing papers authored by Anfei Fan

Since Specialization
Citations

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

Fields of papers citing papers by Anfei Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anfei Fan

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 1
2 1
3 88
4
A shape-based approach to the segmentation of medical imagery using level setsbreakdown →
603
5 6
6 0

About Anfei Fan

Anfei Fan is a scholar working on Small Animals, Environmental Chemistry and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 699 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers) and Image and Object Detection Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (585 citations), Biophysics (41 citations) and Radiology, Nuclear Medicine and Imaging (160 citations). Anfei Fan has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include David Tucker, W. Eric L. Grimson, Andy Tsai, Alan S. Willsky, Clare M. Tempany, Anthony Yezzi, William M. Wells and Junfan Chen. Their work appears in journals such as IEEE Transactions on Medical Imaging, Knowledge-Based Systems and Journal of Chemical Information and Computer Sciences.

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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