Yong Fan

13.9k citations
186 papers · 7.2k indexed · 1 hit paper · h-index 38
Topics
Functional Brain Connectivity Studies (74 papers)Advanced Neuroimaging Techniques and Applications (39 papers)Medical Image Segmentation Techniques (38 papers)

In The Last Decade

Yong Fan

178 papers receiving 7.1k citations

Hit Papers

A deep learning model integrating FCNNs and CRFs for brai...20172026202020232017100200300400500

Peers

Yong Fan
Comparison fields: 5 of 180
  • Cognitive Neuroscience 2.8k
  • Radiology, Nuclear Medicine and Imaging 2.6k
  • Computer Vision and Pattern Recognition 1.6k
  • Psychiatry and Mental health 1.5k
  • Neurology 1.4k
Replace Ivo D. Dinov with:
Ivo D. Dinov United States
Olivier Colliot France
Vladimir Fonov Canada
Philip A. Cook United States
Alexander Hammers United Kingdom
Koen Van Leemput United States
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Daniel S. Marcus United States
Alex Zijdenbos Canada
Yong Liu China
Yong Fan relative to Ivo D. Dinov United States Ivo D. Dinov's profile →
Citations per field
00.5×1.5×1.9×
Ivo D. Dinov · 1×
Citations per year

Countries citing papers authored by Yong Fan

Since Specialization
Citations

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

Fields of papers citing papers by Yong Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Fan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 7
4 1
5 0
6 21
7 21
8 27
9 4
10 15
11 16
12 35
13 13
14
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection.
4
15
Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images.
2
16 14
17
Direct sparsity optimization based feature selection for multi-class classification
12
18 32
19 115
20 305

About Yong Fan

Yong Fan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 186 papers that have together received 7.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (74 papers), Advanced Neuroimaging Techniques and Applications (39 papers) and Medical Image Segmentation Techniques (38 papers). The work is most often cited by research in Neurology (1.4k citations), Cognitive Neuroscience (2.8k citations) and Radiology, Nuclear Medicine and Imaging (2.6k citations). Yong Fan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Christos Davatzikos, Dinggang Shen, Hongming Li, Susan M. Resnick, Xiaoying Wu, Yuhui Du, Ruben C. Gur, Raquel E. Gur, Weili Lin and John H. Gilmore. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience and PLoS ONE.

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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