Wan‐Ting Chiu
Impact in
- Materials Chemistry top 10%
- Shape Memory Alloy Transformations
- Titanium Alloys Microstructure and Properties
- Advanced Thermoelectric Materials and Devices
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
-
- Shape Memory Alloy Transformations 31
- Titanium Alloys Microstructure and Properties 27
-
- Bone Tissue Engineering Materials 13
- Advanced Sensor and Energy Harvesting Materials 8
- Co-authors
- Hideki Hosoda (49 shared papers)Masaki Tahara (45 shared papers)Tso‐Fu Mark Chang (25 shared papers)Masato Sone (26 shared papers)Mai-Szu Wu (1 shared paper)Yung‐Chih Chen (1 shared paper)Yang‐Yuan Chen (2 shared papers)Tomonari Inamura (21 shared papers)
In The Last Decade
Wan‐Ting Chiu
80 papers receiving 916 citations
Peers
Comparison fields: 5 of 95
- Materials Chemistry 529
- Polymers and Plastics 155
- Dermatology 77
- Electrochemistry 56
- Bioengineering 46
Countries citing papers authored by Wan‐Ting Chiu
This map shows the geographic impact of Wan‐Ting Chiu'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 Wan‐Ting Chiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan‐Ting Chiu more than expected).
Fields of papers citing papers by Wan‐Ting Chiu
This network shows the impact of papers produced by Wan‐Ting Chiu. 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 Wan‐Ting Chiu. The network helps show where Wan‐Ting Chiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan‐Ting Chiu, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 93 | |
| 2 | 2016 | 49 | |
| 3 | 2016 | 48 | |
| 4 | 2020 | 46 | |
| 5 | 2020 | 46 | |
| 6 | 2014 | 33 | |
| 7 | 2018 | 32 | |
| 8 | 2020 | 25 | |
| 9 | 2020 | 24 | |
| 10 | 2021 | 24 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2019 | 18 | |
| 15 | 2021 | 16 | |
| 16 | 2021 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2024 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2018 | 14 |
About Wan‐Ting Chiu
Wan‐Ting Chiu is a scholar working on Materials Chemistry, Biomedical Engineering, Mechanical Engineering, Polymers and Plastics and Electrical and Electronic Engineering, having authored 88 papers that have together received 950 indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (31 papers), Titanium Alloys Microstructure and Properties (27 papers), Conducting polymers and applications (13 papers), Bone Tissue Engineering Materials (13 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Electrochemical sensors and biosensors (8 papers), Polymer Foaming and Composites (7 papers) and Intermetallics and Advanced Alloy Properties (6 papers). The work is most often cited by research in Materials Chemistry (529 citations), Polymers and Plastics (155 citations), Dermatology (77 citations), Electrochemistry (56 citations) and Bioengineering (46 citations). Wan‐Ting Chiu has collaborated with scholars based in Japan, Taiwan and Spain. Frequent co-authors include Hideki Hosoda, Masaki Tahara, Tso‐Fu Mark Chang, Masato Sone, Mai-Szu Wu, Yung‐Chih Chen, Yang‐Yuan Chen, Tomonari Inamura, Cheng‐Lung Chen and Hiroshi Toshiyoshi. Their work appears in journals such as Journal of Alloys and Compounds, Materials Science and Engineering A, Materials, Micro and Nano Engineering and Materials Chemistry and 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.