Qi Duan
Impact in
- Numerical Analysis top 5%
- Iterative Methods for Nonlinear Equations
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- Computer Graphics and Visualization Techniques
Papers in
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- Iterative Methods for Nonlinear Equations 16
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- Computer Graphics and Visualization Techniques 6
- Co-authors
- E. H. TwizellAndrew F. LaineMing Jack PoArmen R. KherlopianTing SongJohn K. GohaganW.G. PriceK. Djidjeli
- Journals
- Magnetic Resonance in Medicine (8 papers)Applied Mathematics and Computation (4 papers)Journal of Computational and Applied Mathematics (3 papers)Computers & Graphics (3 papers)Information Sciences (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qi Duan
64 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 132
- Numerical Analysis 136
- Computer Graphics and Computer-Aided Design 85
- Computational Mechanics 317
- Radiology, Nuclear Medicine and Imaging 310
- Biophysics 73
Countries citing papers authored by Qi Duan
This map shows the geographic impact of Qi Duan'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 Qi Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Duan more than expected).
Fields of papers citing papers by Qi Duan
This network shows the impact of papers produced by Qi Duan. 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 Qi Duan. The network helps show where Qi Duan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qi Duan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 7 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 19 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 30 | |
| 9 | 2021 | 19 | |
| 10 | 2018 | 6 | |
| 11 | 2013 | 14 | |
| 12 | Analysis of Flavonoids from Aerial Parts of Artemisia lavandulaefolia | 2012 | 3 |
| 13 | 2012 | 2 | |
| 14 | 2011 | 2 | |
| 15 | 2008 | 226 | |
| 16 | 2006 | 23 | |
| 17 | 2006 | 17 | |
| 18 | 2005 | 3 | |
| 19 | 2000 | 38 | |
| 20 | 1999 | 21 |
About Qi Duan
Qi Duan is a scholar working on Numerical Analysis, Computer Graphics and Computer-Aided Design, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (30 papers), Iterative Methods for Nonlinear Equations (16 papers), Advanced MRI Techniques and Applications (15 papers), Tribology and Lubrication Engineering (6 papers), Computer Graphics and Visualization Techniques (6 papers), Advanced Numerical Methods in Computational Mathematics (5 papers), Ultrasound Imaging and Elastography (5 papers) and Gas Sensing Nanomaterials and Sensors (4 papers). The work is most often cited by research in Numerical Analysis (136 citations), Computer Graphics and Computer-Aided Design (85 citations), Computational Mechanics (317 citations), Radiology, Nuclear Medicine and Imaging (310 citations) and Biophysics (73 citations). Qi Duan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include E. H. Twizell, Andrew F. Laine, Ming Jack Po, Armen R. Kherlopian, Ting Song, John K. Gohagan, W.G. Price, K. Djidjeli, Peter van Gelderen and Jeff H. Duyn. Their work appears in journals such as Magnetic Resonance in Medicine, Applied Mathematics and Computation, Journal of Computational and Applied Mathematics, Computers & Graphics and Information Sciences.
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.