Anfei Fan

1.1k total citations · 1 hit paper
6 papers, 699 citations indexed

About

Anfei Fan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Small Animals. According to data from OpenAlex, Anfei Fan has authored 6 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Small Animals. Recurrent topics in Anfei Fan's work include Medical Image Segmentation Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers) and Image and Object Detection Techniques (2 papers). Anfei Fan is often cited by papers focused on Medical Image Segmentation Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers) and Image and Object Detection Techniques (2 papers). Anfei Fan collaborates with scholars based in United States, Hong Kong and China. Anfei Fan's 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 and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Knowledge-Based Systems and Journal of Chemical Information and Computer Sciences.

In The Last Decade

Anfei Fan

5 papers receiving 668 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A shape-based approach to the segmentation of medical imagery using level sets

2003 603 citations Andy Tsai, Anthony Yezzi et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anfei Fan United States	3	585	160	132	105	56	6	699
Sheshadri Thiruvenkadam United States	8	405 0.7×	216 1.4×	87 0.7×	71 0.7×	33 0.6×	18	603
Klaus D. Toennies Germany	11	378 0.6×	145 0.9×	124 0.9×	82 0.8×	16 0.3×	40	630
George J. Grevera United States	12	447 0.8×	163 1.0×	75 0.6×	87 0.8×	17 0.3×	39	655
Jintai Chen China	14	310 0.5×	165 1.0×	267 2.0×	80 0.8×	38 0.7×	38	701
Hüseyin Tek United States	14	569 1.0×	188 1.2×	59 0.4×	141 1.3×	44 0.8×	23	751
Michalis A. Savelonas Greece	17	333 0.6×	240 1.5×	278 2.1×	41 0.4×	28 0.5×	59	694
Michal Sofka United States	15	557 1.0×	483 3.0×	132 1.0×	109 1.0×	150 2.7×	33	971
Yixiong Liang China	15	491 0.8×	278 1.7×	247 1.9×	85 0.8×	37 0.7×	57	774
Paulo A. V. Miranda Brazil	17	645 1.1×	86 0.5×	71 0.5×	52 0.5×	20 0.4×	60	753
Stephen Chang Singapore	9	318 0.5×	129 0.8×	117 0.9×	114 1.1×	19 0.3×	20	577

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

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6 of 6 papers shown

1.

Chen, Junfan, et al.. (2024). Intelligent fault diagnosis via unsupervised domain adaptation: The role of intermediate domain construction. Knowledge-Based Systems. 310. 112766–112766. 1 indexed citations

2.

Fan, Anfei, et al.. (2023). A fusion inference method for large language models and knowledge graphs based on structured injection and causal inference. 208–213. 1 indexed citations

3.

Tsai, Andy, Anthony Yezzi, William M. Wells, et al.. (2005). Model-based curve evolution technique for image segmentation. SMARTech Repository (Georgia Institute of Technology). 1. I–463. 88 indexed citations

4.

Tsai, Andy, Anthony Yezzi, William M. Wells, et al.. (2003). A shape-based approach to the segmentation of medical imagery using level sets. IEEE Transactions on Medical Imaging. 22(2). 137–154. 603 indexed citations breakdown →

5.

Fan, Anfei, et al.. (2002). Time tabling using genetic algorithm and simulated annealing. 220. 448–451. 6 indexed citations

6.

Fan, Anfei, et al.. (1981). Development of a format for abstracting dose-response information from published studies for use in quantitative structure-activity relationships (QSARs). Journal of Chemical Information and Computer Sciences. 21(1). 14–18.

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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