Chen Wen
- Applied Mathematics top 5%
- Economics and Econometrics top 10%
- Computer Vision and Pattern Recognition top 10%
- Political Science and International Relations top 10%
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Raquel Ortega‐ArgilésFrank van OortBart LosMark ThissenPhilip McCannSong WangShintaro ItohRong Qing Jia
- Topics
- Image and Signal Denoising Methods (3 papers)Mathematical Analysis and Transform Methods (3 papers)Insurance, Mortality, Demography, Risk Management (2 papers)
In The Last Decade
Chen Wen
17 papers receiving 291 citations
Peers
Comparison fields: 5 of 77
- Applied Mathematics 80
- Economics and Econometrics 80
- Computer Vision and Pattern Recognition 65
- Political Science and International Relations 62
- General Economics, Econometrics and Finance 43
Countries citing papers authored by Chen Wen
This map shows the geographic impact of Chen Wen'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 Chen Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Wen more than expected).
Fields of papers citing papers by Chen Wen
This network shows the impact of papers produced by Chen Wen. 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 Chen Wen. The network helps show where Chen Wen may publish in the future.
Co-authorship network of co-authors of Chen Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Chen Wen. A scholar is included among the top collaborators of Chen Wen 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 Chen Wen. Chen Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 30 | |
| 4 | 25 | |
| 5 | 1 | |
| 6 | 125 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | Research on quality analysis and regulatory countermeasures of imported salmon in China. | 3 |
| 12 | 3 | |
| 13 | Occurrence states of Se and S/Se ratios study of Xiaorequanzi copper,zinc(selenium) deposit in East Tianshan,Xinjiang | 1 |
| 14 | 21 | |
| 15 | 13 | |
| 16 | 55 | |
| 17 | 1 |
About Chen Wen
Chen Wen is a scholar working on Finance, Applied Mathematics and Modeling and Simulation, having authored 17 papers that have together received 308 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (3 papers), Mathematical Analysis and Transform Methods (3 papers) and Insurance, Mortality, Demography, Risk Management (2 papers). The work is most often cited by research in Applied Mathematics (80 citations), General Economics, Econometrics and Finance (43 citations) and Modeling and Simulation (21 citations). Chen Wen has collaborated with scholars based in Australia, Canada and Chile. Frequent co-authors include Raquel Ortega‐Argilés, Frank van Oort, Bart Los, Mark Thissen, Philip McCann, Song Wang, Shintaro Itoh, Rong Qing Jia, Bin Han and Nicolas Langrené. Their work appears in journals such as IEEE Transactions on Information Theory, Applied Mathematics and Computation and Resources Policy.
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.