Fei Hou

1.6k citations
100 papers · 1.2k · 1 hit paper · h-index 19

Impact in

Papers in

Fei Hou

81 papers receiving 1.2k citations

Fei Hou's Hit Papers

Fluid Inverse Volumetric Modeling and Applications From Surface Motion 2024 · 46 citations
460+1Years since publication10203040

Peers

Fei Hou
Comparison fields: 5 of 116
  • Computer Graphics and Computer-Aided Design 84
  • Electrochemistry 109
  • Radiology, Nuclear Medicine and Imaging 242
  • Bioengineering 54
  • Environmental Engineering 132
Replace Jinhui Yan with:
Jinhui Yan United States
Yufei Li China
Dalei Wang China
Jianhui Li China
Qingmin Li China
Shriram Srinivasan United States
Hongying Yang China
Yabo Fu United States
Fei Hou relative to Jinhui Yan United States Jinhui Yan's profile →
Citations per field
00.5×10×15×18.2×
Jinhui Yan · 1×
Citations per year

Countries citing papers authored by Fei Hou

Since Specialization
Citations

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

Fields of papers citing papers by Fei Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018128
2 201478
3 201874
4 201773
5 201660
6 201553
7 201347
8
Fluid Inverse Volumetric Modeling and Applications From Surface Motion
Hit paper breakdown →
202446
9 201542
10 201140
11 201739
12 202234
13 201733
14 201727
15 202222
16 201821
17 201920
18 201720
19 201719
20 201817

About Fei Hou

Fei Hou is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Electrical and Electronic Engineering and Materials Chemistry, having authored 100 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (23 papers), Advanced Vision and Imaging (22 papers), 3D Shape Modeling and Analysis (17 papers), Advanced Numerical Analysis Techniques (7 papers), 3D Surveying and Cultural Heritage (6 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Coal Properties and Utilization (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (84 citations), Electrochemistry (109 citations), Radiology, Nuclear Medicine and Imaging (242 citations), Bioengineering (54 citations) and Environmental Engineering (132 citations). Fei Hou has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hong Qin, Aimin Hao, Xinglong Liu, Wencheng Wang, Wei Sun, Fan Shi, Xinzhuang Cui, Dan Huang, Miaorong Zhang and Jiong Zhang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, The Visual Computer, ACM Transactions on Graphics, Computer Graphics Forum and Computational Visual Media.

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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