Duowen Chen

508 total citations · 1 hit paper
12 papers, 231 citations indexed

About

Duowen Chen is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Duowen Chen has authored 12 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Mechanics, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Duowen Chen's work include Fluid Dynamics and Heat Transfer (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Manufacturing Process and Optimization (2 papers). Duowen Chen is often cited by papers focused on Fluid Dynamics and Heat Transfer (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Manufacturing Process and Optimization (2 papers). Duowen Chen collaborates with scholars based in China, United States and Hong Kong. Duowen Chen's co-authors include Wei Shen, Qingli Li, Yunhao Bai, Yan Wang, Ilya Baran, Vladimir G. Kim, B.E. Jones, Adriana Schulz, Yan Wang and Lequan Yu and has published in prestigious journals such as ACM Transactions on Graphics, Case Studies in Construction Materials and Drones.

In The Last Decade

Duowen Chen

9 papers receiving 222 citations

Hit Papers

Bidirectional Copy-Paste for Semi-Supervised Medical Imag... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duowen Chen China 4 153 83 68 56 33 12 231
Miaomiao Zhang United States 7 148 1.0× 29 0.3× 69 1.0× 21 0.4× 16 0.5× 31 215
Mustafa Gökhan Uzunbaş United States 8 126 0.8× 21 0.3× 45 0.7× 7 0.1× 10 0.3× 15 165
Junde Wu China 8 120 0.8× 89 1.1× 110 1.6× 32 0.6× 4 0.1× 14 274
Xiangyi Yan United States 6 177 1.2× 100 1.2× 77 1.1× 38 0.7× 12 0.4× 12 250
Deying Kong United States 7 132 0.9× 65 0.8× 47 0.7× 28 0.5× 11 0.3× 12 201
Joel Vidal Spain 4 72 0.5× 46 0.6× 43 0.6× 12 0.2× 6 0.2× 10 168
Fabrice Jaillet France 7 70 0.5× 9 0.1× 30 0.4× 39 0.7× 39 1.2× 14 140
Mustafa Munir United States 4 78 0.5× 37 0.4× 28 0.4× 19 0.3× 3 0.1× 10 154
Pengshuai Yin China 5 81 0.5× 26 0.3× 94 1.4× 13 0.2× 4 0.1× 15 172
Chi Li China 6 129 0.8× 46 0.6× 15 0.2× 5 0.1× 14 0.4× 10 182

Countries citing papers authored by Duowen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Duowen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duowen Chen

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

All Works

12 of 12 papers shown
1.
Chen, Duowen, et al.. (2025). A Low-Latency Dynamic Object Detection Algorithm Fusing Depth and Events. Drones. 9(3). 211–211. 1 indexed citations
2.
Chen, Duowen, et al.. (2025). A Neural Particle Level Set Method for Dynamic Interface Tracking. ACM Transactions on Graphics. 44(3). 1–21.
3.
Chen, Duowen, et al.. (2024). Multi-scale investigation of stainless-steel passivation in seawater concrete pore solution. Case Studies in Construction Materials. 21. e04078–e04078. 3 indexed citations
4.
Chen, Duowen, et al.. (2024). Eulerian-Lagrangian Fluid Simulation on Particle Flow Maps. ACM Transactions on Graphics. 43(4). 1–20. 3 indexed citations
5.
Yu, Hong-Xing, et al.. (2024). An Eulerian Vortex Method on Flow Maps. ACM Transactions on Graphics. 43(6). 1–14. 3 indexed citations
6.
Chen, Duowen, et al.. (2024). Particle-Laden Fluid on Flow Maps. ACM Transactions on Graphics. 43(6). 1–12.
7.
Chen, Duowen, et al.. (2024). Solid-Fluid Interaction on Particle Flow Maps. ACM Transactions on Graphics. 43(6). 1–20. 1 indexed citations
8.
Bai, Yunhao, Duowen Chen, Qingli Li, Wei Shen, & Yan Wang. (2023). Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation. 11514–11524. 159 indexed citations breakdown →
9.
Chen, Duowen, Yunhao Bai, Wei Shen, et al.. (2023). MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery. The HKU Scholars Hub (University of Hong Kong). 23869–23878. 21 indexed citations
10.
Jones, B.E., et al.. (2021). AutoMate. ACM Transactions on Graphics. 40(6). 1–18. 39 indexed citations
12.
Chen, Duowen, Jing Zhang, & Ming Tang. (2009). Random patch based video tracking via boosting the relative spaces. 1. 1217–1220. 1 indexed citations

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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