Forest Shih-Sen Chien
- Materials Chemistry top 10%
- Electrical and Electronic Engineering top 5%
- Renewable Energy, Sustainability and the Environment top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Biomedical Engineering top 10%
- Co-authors
- W. F. HsiehTsung‐Wu LinSheng-Yen TaiChia-Jui LiuShu-Wei ChouJeng‐Yu LinShangjr GwoY. C. Chou
- Topics
- Advanced Photocatalysis Techniques (14 papers)Force Microscopy Techniques and Applications (11 papers)ZnO doping and properties (11 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentMaterials ChemistryElectrical and Electronic Engineering
- Partner nations
- TaiwanUnited StatesItaly
In The Last Decade
Forest Shih-Sen Chien
59 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 65
- Materials Chemistry 713
- Electrical and Electronic Engineering 677
- Renewable Energy, Sustainability and the Environment 380
- Atomic and Molecular Physics, and Optics 347
- Biomedical Engineering 331
Countries citing papers authored by Forest Shih-Sen Chien
This map shows the geographic impact of Forest Shih-Sen Chien'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 Forest Shih-Sen Chien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Forest Shih-Sen Chien more than expected).
Fields of papers citing papers by Forest Shih-Sen Chien
This network shows the impact of papers produced by Forest Shih-Sen Chien. 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 Forest Shih-Sen Chien. The network helps show where Forest Shih-Sen Chien may publish in the future.
Co-authorship network of co-authors of Forest Shih-Sen Chien
This figure shows the co-authorship network connecting the top 25 collaborators of Forest Shih-Sen Chien. A scholar is included among the top collaborators of Forest Shih-Sen Chien 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 Forest Shih-Sen Chien. Forest Shih-Sen Chien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 33 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 7 | |
| 13 | 205 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 13 | |
| 17 | 27 | |
| 18 | 21 | |
| 19 | 0 | |
| 20 | 42 |
About Forest Shih-Sen Chien
Forest Shih-Sen Chien is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (14 papers), Force Microscopy Techniques and Applications (11 papers) and ZnO doping and properties (11 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (380 citations), Materials Chemistry (713 citations) and Electrical and Electronic Engineering (677 citations). Forest Shih-Sen Chien has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include W. F. Hsieh, Tsung‐Wu Lin, Sheng-Yen Tai, Chia-Jui Liu, Shu-Wei Chou, Jeng‐Yu Lin, Shangjr Gwo, Y. C. Chou, Kai-Di Chang and Ren‐Jang Wu. Their work appears in journals such as Applied Physics Letters, PLoS ONE and Journal of Applied Physics.
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.