Xin Wen
Impact in
-
- Industrial Vision Systems and Defect Detection
- Human-Computer Interaction top 5%
Papers in
-
- Optical measurement and interference techniques 12
- Visual Attention and Saliency Detection 5
- Advanced Vision and Imaging 5
-
- Industrial Vision Systems and Defect Detection 14
- Co-authors
- Kechen Song (16 shared papers)Robert B. Meyer (5 shared papers)Yu He (10 shared papers)Yunhui Yan (10 shared papers)Donald L. D. Caspar (1 shared paper)Stefanie Mueller (6 shared papers)Etsuo Kokufuta (1 shared paper)Yong Li (1 shared paper)
- Journals
- Applied Sciences (4 papers)Physical Review Letters (4 papers)Sensors (3 papers)Optics and Lasers in Engineering (3 papers)Physical Review A (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xin Wen
50 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 102
- Industrial and Manufacturing Engineering 202
- Human-Computer Interaction 79
- Computer Vision and Pattern Recognition 245
- Electronic, Optical and Magnetic Materials 193
- Media Technology 65
Countries citing papers authored by Xin Wen
This map shows the geographic impact of Xin 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 Xin Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Wen more than expected).
Fields of papers citing papers by Xin Wen
This network shows the impact of papers produced by Xin 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 Xin Wen. The network helps show where Xin Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Wen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 157 | |
| 2 | 2022 | 117 | |
| 3 | 1989 | 96 | |
| 4 | 2020 | 78 | |
| 5 | 1987 | 51 | |
| 6 | 2016 | 47 | |
| 7 | 2020 | 46 | |
| 8 | 2022 | 41 | |
| 9 | 2018 | 40 | |
| 10 | 2020 | 37 | |
| 11 | 2023 | 33 | |
| 12 | 1990 | 29 | |
| 13 | 2024 | 27 | |
| 14 | 1992 | 22 | |
| 15 | 2017 | 20 | |
| 16 | 1991 | 20 | |
| 17 | 2018 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2016 | 14 | |
| 20 | 2019 | 13 |
About Xin Wen
Xin Wen is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Human-Computer Interaction, Electronic, Optical and Magnetic Materials and Media Technology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (14 papers), Optical measurement and interference techniques (12 papers), Liquid Crystal Research Advancements (9 papers), Molecular spectroscopy and chirality (6 papers), Surface Roughness and Optical Measurements (6 papers), Visual Attention and Saliency Detection (5 papers), Image Processing Techniques and Applications (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (202 citations), Human-Computer Interaction (79 citations), Computer Vision and Pattern Recognition (245 citations), Electronic, Optical and Magnetic Materials (193 citations) and Media Technology (65 citations). Xin Wen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kechen Song, Robert B. Meyer, Yu He, Yunhui Yan, Donald L. D. Caspar, Stefanie Mueller, Etsuo Kokufuta, Yong Li, Mehran Kardar and Toyoichi Tanaka. Their work appears in journals such as Applied Sciences, Physical Review Letters, Sensors, Optics and Lasers in Engineering and Physical Review A.
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.