Chien‐Hsing Chen
- Electrical and Electronic Engineering
- Organic Chemistry top 10%
- Biomedical Engineering
- Molecular Biology
- Artificial Intelligence top 10%
- Co-authors
- Chun‐Chen LiaoJaw-Luen TangPolisetti Dharma RaoChang-Yue ChiangLai‐Kwan ChauShih‐Hung YangJian‐Neng WangChung‐Jiuan Jeng
- Topics
- Advanced Fiber Optic Sensors (16 papers)Photonic and Optical Devices (14 papers)Plasmonic and Surface Plasmon Research (6 papers)
In The Last Decade
Chien‐Hsing Chen
63 papers receiving 747 citations
Peers
Comparison fields: 5 of 114
- Electrical and Electronic Engineering 222
- Organic Chemistry 159
- Biomedical Engineering 151
- Molecular Biology 127
- Artificial Intelligence 102
Countries citing papers authored by Chien‐Hsing Chen
This map shows the geographic impact of Chien‐Hsing Chen'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 Chien‐Hsing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Hsing Chen more than expected).
Fields of papers citing papers by Chien‐Hsing Chen
This network shows the impact of papers produced by Chien‐Hsing Chen. 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 Chien‐Hsing Chen. The network helps show where Chien‐Hsing Chen may publish in the future.
Co-authorship network of co-authors of Chien‐Hsing Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Hsing Chen. A scholar is included among the top collaborators of Chien‐Hsing Chen 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 Chien‐Hsing Chen. Chien‐Hsing Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 33 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | System of Boosting Voting with Multiple Learning Algorithms | 1 |
| 12 | Fabrication of the novel multi-D-shape fiber sensor by femtosecond laser machining with the diffractive optical element | 3 |
| 13 | 8 | |
| 14 | U-shaped fiber optics fabricated with a femtosecond laser and integrated into a localized plasmon resonance biosensor | 8 |
| 15 | 3 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 24 | |
| 20 | 36 |
About Chien‐Hsing Chen
Chien‐Hsing Chen is a scholar working on Acoustics and Ultrasonics, Toxicology and Biochemistry, having authored 64 papers that have together received 776 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (16 papers), Photonic and Optical Devices (14 papers) and Plasmonic and Surface Plasmon Research (6 papers). The work is most often cited by research in Acoustics and Ultrasonics (11 citations), Organic Chemistry (159 citations) and Toxicology (19 citations). Chien‐Hsing Chen has collaborated with scholars based in Taiwan and India. Frequent co-authors include Chun‐Chen Liao, Jaw-Luen Tang, Polisetti Dharma Rao, Chang-Yue Chiang, Lai‐Kwan Chau, Shih‐Hung Yang, Jian‐Neng Wang, Chung‐Jiuan Jeng, Chung-Chian Hsu and Hung‐Ming Yang. Their work appears in journals such as Journal of the American Chemical Society, Chemistry of Materials and Chemical Communications.
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.