Ching-Yuan Bai
- Materials Chemistry top 10%
- Electrical and Electronic Engineering top 10%
- Mechanical Engineering top 10%
- Renewable Energy, Sustainability and the Environment top 10%
- Mechanics of Materials top 10%
- Co-authors
- Ming-Der GerChun-Hao KooKung-Hsu HouChao-Sung LinShuo-Jen LeeWeikun ChenChung‐Ming LiuNen‐Wen Pu
- Topics
- Metal and Thin Film Mechanics (8 papers)Fuel Cells and Related Materials (7 papers)Corrosion Behavior and Inhibition (7 papers)
- Journals
- Journal of The Electrochemical SocietyJournal of Power SourcesInternational Journal of Hydrogen Energy
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Ching-Yuan Bai
23 papers receiving 600 citations
Peers
Comparison fields: 5 of 43
- Materials Chemistry 370
- Electrical and Electronic Engineering 351
- Mechanical Engineering 199
- Renewable Energy, Sustainability and the Environment 130
- Mechanics of Materials 124
Countries citing papers authored by Ching-Yuan Bai
This map shows the geographic impact of Ching-Yuan Bai'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 Ching-Yuan Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Yuan Bai more than expected).
Fields of papers citing papers by Ching-Yuan Bai
This network shows the impact of papers produced by Ching-Yuan Bai. 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 Ching-Yuan Bai. The network helps show where Ching-Yuan Bai may publish in the future.
Co-authorship network of co-authors of Ching-Yuan Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Ching-Yuan Bai. A scholar is included among the top collaborators of Ching-Yuan Bai 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 Ching-Yuan Bai. Ching-Yuan Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | A Large-scale Study on Training Sample Memorization in Generative Modeling | 0 |
| 3 | Attention-based Deep Tropical Cyclone Rapid Intensification Prediction | 2 |
| 4 | 19 | |
| 5 | 19 | |
| 6 | 12 | |
| 7 | 16 | |
| 8 | 23 | |
| 9 | 40 | |
| 10 | 49 | |
| 11 | 19 | |
| 12 | 67 | |
| 13 | 52 | |
| 14 | 43 | |
| 15 | 8 | |
| 16 | 10 | |
| 17 | 53 | |
| 18 | 9 | |
| 19 | 78 | |
| 20 | 8 |
About Ching-Yuan Bai
Ching-Yuan Bai is a scholar working on Metals and Alloys, Mechanics of Materials and Renewable Energy, Sustainability and the Environment, having authored 25 papers that have together received 640 indexed citations. Recurring topics across this work include Metal and Thin Film Mechanics (8 papers), Fuel Cells and Related Materials (7 papers) and Corrosion Behavior and Inhibition (7 papers). The work is most often cited by research in Metals and Alloys (68 citations), Renewable Energy, Sustainability and the Environment (130 citations) and Materials Chemistry (370 citations). Ching-Yuan Bai has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Ming-Der Ger, Chun-Hao Koo, Kung-Hsu Hou, Chao-Sung Lin, Shuo-Jen Lee, Weikun Chen, Chung‐Ming Liu, Nen‐Wen Pu, Chien‐Hung Lin and Shiwei Chen. Their work appears in journals such as Journal of The Electrochemical Society, Journal of Power Sources and International Journal of Hydrogen Energy.
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.