Junyan Yan
Impact in
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- Soft Robotics and Applications
- Graphene and Nanomaterials Applications
- Nanoplatforms for cancer theranostics
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
Papers in
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- Soft Robotics and Applications 11
- Graphene and Nanomaterials Applications 2
- Nanoplatforms for cancer theranostics 1
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- Robot Manipulation and Learning 3
- Co-authors
- Shing Shin Cheng (14 shared papers)Chih‐Ching Huang (2 shared papers)Liliang Chen (2 shared papers)Lingyan Yang (2 shared papers)Wencheng Wang (2 shared papers)Chia‐Hua Lin (1 shared paper)Yu‐Hsin Lin (1 shared paper)Jiantao Yu (1 shared paper)
In The Last Decade
Junyan Yan
16 papers receiving 281 citations
Peers
Comparison fields: 5 of 58
- Biomedical Engineering 214
- Control and Systems Engineering 70
- Condensed Matter Physics 30
- Biomaterials 32
- Gastroenterology 9
Countries citing papers authored by Junyan Yan
This map shows the geographic impact of Junyan Yan'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 Junyan Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyan Yan more than expected).
Fields of papers citing papers by Junyan Yan
This network shows the impact of papers produced by Junyan Yan. 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 Junyan Yan. The network helps show where Junyan Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyan Yan, 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 | 2016 | 46 | |
| 2 | 2017 | 39 | |
| 3 | 2021 | 33 | |
| 4 | 2021 | 33 | |
| 5 | 2022 | 31 | |
| 6 | 2022 | 26 | |
| 7 | 2022 | 17 | |
| 8 | 2023 | 12 | |
| 9 | 2020 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 1 |
About Junyan Yan
Junyan Yan is a scholar working on Biomedical Engineering, Control and Systems Engineering, Materials Chemistry, Surgery and Condensed Matter Physics, having authored 16 papers that have together received 282 indexed citations. Recurring topics across this work include Soft Robotics and Applications (11 papers), Robot Manipulation and Learning (3 papers), Graphene and Nanomaterials Applications (2 papers), Micro and Nano Robotics (2 papers), Spine and Intervertebral Disc Pathology (1 paper), Nanoplatforms for cancer theranostics (1 paper), Inertial Sensor and Navigation (1 paper) and Advanced Materials and Mechanics (1 paper). The work is most often cited by research in Biomedical Engineering (214 citations), Control and Systems Engineering (70 citations), Condensed Matter Physics (30 citations), Biomaterials (32 citations) and Gastroenterology (9 citations). Junyan Yan has collaborated with scholars based in Hong Kong, China and Taiwan. Frequent co-authors include Shing Shin Cheng, Chih‐Ching Huang, Liliang Chen, Lingyan Yang, Wencheng Wang, Chia‐Hua Lin, Yu‐Hsin Lin, Jiantao Yu, Xin Tong and Po-Hsiung Lin. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Biomedical Engineering, Colloids and Surfaces B Biointerfaces and International Journal of Mechanical 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.