Chien‐Te Chen
Impact in
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- Electrocatalysts for Energy Conversion
- Advanced Photocatalysis Techniques
- Electrochemistry top 1%
- Electrochemical Analysis and Applications
Papers in
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- Electrocatalysts for Energy Conversion 27
- Advanced Photocatalysis Techniques 4
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- Advanced battery technologies research 18
- Fuel Cells and Related Materials 14
- Perovskite Materials and Applications 4
- Advanced Memory and Neural Computing 3
- Co-authors
- Zhiwei Hu (27 shared papers)Zongping Shao (26 shared papers)Wei Zhou (21 shared papers)Hong‐Ji Lin (18 shared papers)Yijun Zhong (9 shared papers)Daqin Guan (12 shared papers)Gao Chen (4 shared papers)Yanping Zhu (3 shared papers)
In The Last Decade
Chien‐Te Chen
31 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 48
- Renewable Energy, Sustainability and the Environment 2.2k
- Electrochemistry 387
- Electrical and Electronic Engineering 1.8k
- Catalysis 167
- Materials Chemistry 783
Countries citing papers authored by Chien‐Te Chen
This map shows the geographic impact of Chien‐Te 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‐Te 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‐Te Chen more than expected).
Fields of papers citing papers by Chien‐Te Chen
This network shows the impact of papers produced by Chien‐Te 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‐Te Chen. The network helps show where Chien‐Te Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chien‐Te Chen, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 364 | |
| 2 | 2019 | 300 | |
| 3 | 2021 | 227 | |
| 4 | 2020 | 210 | |
| 5 | 2022 | 178 | |
| 6 | 2018 | 138 | |
| 7 | 2019 | 129 | |
| 8 | 2020 | 108 | |
| 9 | 2020 | 102 | |
| 10 | 2018 | 101 | |
| 11 | 2019 | 83 | |
| 12 | 2021 | 73 | |
| 13 | 2021 | 66 | |
| 14 | 2022 | 61 | |
| 15 | 2019 | 51 | |
| 16 | 2019 | 48 | |
| 17 | 2024 | 46 | |
| 18 | 2021 | 45 | |
| 19 | 2020 | 44 | |
| 20 | 2021 | 44 |
About Chien‐Te Chen
Chien‐Te Chen is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Materials Chemistry, Electrochemistry and Nuclear and High Energy Physics, having authored 31 papers that have together received 2.6k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (27 papers), Advanced battery technologies research (18 papers), Fuel Cells and Related Materials (14 papers), Catalytic Processes in Materials Science (6 papers), Advancements in Solid Oxide Fuel Cells (4 papers), Advanced Photocatalysis Techniques (4 papers), Perovskite Materials and Applications (4 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (2.2k citations), Electrochemistry (387 citations), Electrical and Electronic Engineering (1.8k citations), Catalysis (167 citations) and Materials Chemistry (783 citations). Chien‐Te Chen has collaborated with scholars based in Taiwan, China and Australia. Frequent co-authors include Zhiwei Hu, Zongping Shao, Wei Zhou, Hong‐Ji Lin, Yijun Zhong, Daqin Guan, Gao Chen, Yanping Zhu, Xiaomin Xu and Yinlong Zhu. Their work appears in journals such as Journal of Materials Chemistry A, Advanced Materials, Advanced Functional Materials, ChemSusChem and Small.
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.