Fuhui Long

16.8k citations
31 papers · 9.5k indexed · 2 hit papers · h-index 20

Fuhui Long

31 papers receiving 9.2k citations

Hit Papers

V3D enables real-time 3D visualization and quantitative a...50720052026201220192.5k5.0k7.5k

Peers

Fuhui Long
Comparison fields: 5 of 204
  • Biophysics 1.3k
  • Aging 223
  • Computer Vision and Pattern Recognition 2.4k
  • Artificial Intelligence 3.0k
  • Media Technology 746
Replace David Warde-Farley with:
David Warde-Farley Canada
Yvan Saeys Belgium
Joachim M. Buhmann Switzerland
Gunnar Rätsch Germany
Shin Ishii Japan
Shuiwang Ji United States
Sungroh Yoon South Korea
Lars Kai Hansen Denmark
Tianming Liu United States
Ming Yuan United States
Fuhui Long relative to David Warde-Farley Canada David Warde-Farley's profile →
Citations per field
00.5×4.2×
David Warde-Farley · 1×
Citations per year

Countries citing papers authored by Fuhui Long

Since Specialization
Citations

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

Fields of papers citing papers by Fuhui Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Fuhui Long, 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 Fuhui Long Line = papers co-authored together Fuhui Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201913
2 201843
3 201545
4 20151
5 2014212
6 2013115
7 20135
8 201256
9 201189
10 2011105
11 2011114
12
V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data setsbreakdown →
2010507
13 201037
14 2009109
15 2009140
16 200755
17 200711
18
Feature selection: We've barely scratched the surface
200514
19
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancybreakdown →
20057517
20 20032

About Fuhui Long

Fuhui Long is a scholar working on Aging, Biophysics and Structural Biology, having authored 31 papers that have together received 9.5k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (20 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), Single-cell and spatial transcriptomics (6 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Gene expression and cancer classification (6 papers), Neurobiology and Insect Physiology Research (4 papers), Image Processing Techniques and Applications (4 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Biophysics (1.3k citations), Aging (223 citations) and Computer Vision and Pattern Recognition (2.4k citations). Fuhui Long has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Chen Ding, Eugene W. Myers, J. Simpson, Zongcai Ruan, Gene Myers, Alessandro Bria, Giulio Iannello, Stuart K. Kim, Eugene Myers and Xiao Liu. Their work appears in journals such as Bioinformatics, Neuroinformatics, Nature Methods, BMC Cell Biology and Current Biology.

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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