Duo Wang

549 citations
22 papers · 367 · h-index 5

Impact in

Papers in

Duo Wang

20 papers receiving 359 citations

Peers

Duo Wang
Comparison fields: 5 of 63
  • Radiology, Nuclear Medicine and Imaging 197
  • Health Informatics 8
  • Computer Vision and Pattern Recognition 58
  • Computational Mechanics 47
  • Biomedical Engineering 71
Replace Shizuo Kaji with:
Shizuo Kaji Japan
Jean Feydy France
James R. Clough United Kingdom
Zhuo‐Xu Cui China
Susanne K. Suter Switzerland
Aaron Defazio United States
Hyungseob Shin South Korea
Frederic J. P. Richard France
Johanne Bézy‐Wendling France
Gyutaek Oh South Korea
Duo Wang relative to Shizuo Kaji Japan Shizuo Kaji's profile →
Citations per field
00.5×2×4×5.2×
Shizuo Kaji · 1×
Citations per year

Countries citing papers authored by Duo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Duo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020285
2 201815
3 198710
4 20116
5 20235
6 20235
7 20245
8 19905
9 20194
10 20204
11 20234
12 20244
13 20233
14 20103
15 20253
16 20082
17 20251
18 20251
19 20231
20 20231

About Duo Wang

Duo Wang is a scholar working on Hardware and Architecture, Geometry and Topology, Applied Mathematics, Artificial Intelligence and Cancer Research, having authored 22 papers that have together received 367 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Aortic aneurysm repair treatments (2 papers), Nonlinear Differential Equations Analysis (2 papers), Single-cell and spatial transcriptomics (2 papers), Advanced Differential Equations and Dynamical Systems (2 papers), VLSI and FPGA Design Techniques (2 papers), Advanced X-ray and CT Imaging (2 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (197 citations), Health Informatics (8 citations), Computer Vision and Pattern Recognition (58 citations), Computational Mechanics (47 citations) and Biomedical Engineering (71 citations). Duo Wang has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Xiaosheng Zhang, Píetro Lió, Qingsheng Lu, Dongrui Fan, Wang Ye, Jonathan H. Gillard, Mingyu Yan, Yuan Huang, Xiaochun Ye and Filippo Spiga. Their work appears in journals such as The Journal of Difference Equations and Applications, Advanced Science, Advances in Difference Equations, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Radiology Artificial Intelligence.

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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