Ruofei Du

1.5k citations
62 papers · 895 indexed · h-index 19

Ruofei Du

58 papers receiving 871 citations

Peers

Ruofei Du
Comparison fields: 5 of 103
  • Human-Computer Interaction 295
  • Computer Graphics and Computer-Aided Design 138
  • Computer Vision and Pattern Recognition 582
  • Media Technology 57
  • Cognitive Neuroscience 120
Replace Kenny Mitchell with:
Kenny Mitchell United Kingdom
Pavel Slavı́k Czechia
David Mould Canada
Marco Salvi United Kingdom
Tommer Leyvand Israel
Cagri Ozcinar Ireland
Scott S. Fisher United States
Nataniel Ruiz United States
Danielle Albers Szafir United States
Youichi Horry Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ruofei Du

Since Specialization
Citations

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

Fields of papers citing papers by Ruofei Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20244
4 20245
5 202419
6 202318
7 20235
8 20231
9 20233
10 20232
11 202326
12 20231
13 202211
14 20223
15 20221
16 20224
17 20222
18 20201
19 201958
20 201510

About Ruofei Du

Ruofei Du is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Human Factors and Ergonomics and Biophysics, having authored 62 papers that have together received 895 indexed citations. Recurring topics across this work include Augmented Reality Applications (17 papers), Advanced Vision and Imaging (13 papers), Interactive and Immersive Displays (11 papers), Virtual Reality Applications and Impacts (10 papers), Robotics and Sensor-Based Localization (8 papers), Visual Attention and Saliency Detection (6 papers), Multimodal Machine Learning Applications (5 papers) and Image and Video Quality Assessment (5 papers). The work is most often cited by research in Human-Computer Interaction (295 citations), Computer Graphics and Computer-Aided Design (138 citations), Computer Vision and Pattern Recognition (582 citations), Media Technology (57 citations) and Cognitive Neuroscience (120 citations). Ruofei Du has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Amitabh Varshney, David Li, Ken Perlin, Zhenyi He, Matthias Zwicker, Chengying Gao, Hongbo Fu, Changqing Zou, Danhang Tang and Jon E. Froehlich. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Emotion, Quality of Life Research, European Journal of Oncology Nursing and ACM Transactions on Graphics.

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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