Chia‐Hung Lin
- Electrical and Electronic Engineering top 10%
- Molecular Biology
- Control and Systems Engineering top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Artificial Intelligence top 10%
- Topics
- Optimal Power Flow Distribution (5 papers)Glycosylation and Glycoproteins Research (3 papers)Microgrid Control and Optimization (3 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentBioengineeringControl and Systems Engineering
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Chia‐Hung Lin
28 papers receiving 782 citations
Peers
Comparison fields: 5 of 114
- Electrical and Electronic Engineering 389
- Molecular Biology 239
- Control and Systems Engineering 162
- Renewable Energy, Sustainability and the Environment 145
- Artificial Intelligence 93
Countries citing papers authored by Chia‐Hung Lin
This map shows the geographic impact of Chia‐Hung Lin'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 Chia‐Hung Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Hung Lin more than expected).
Fields of papers citing papers by Chia‐Hung Lin
This network shows the impact of papers produced by Chia‐Hung Lin. 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 Chia‐Hung Lin. The network helps show where Chia‐Hung Lin may publish in the future.
Co-authorship network of co-authors of Chia‐Hung Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Hung Lin. A scholar is included among the top collaborators of Chia‐Hung Lin 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 Chia‐Hung Lin. Chia‐Hung Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 21 | |
| 3 | 7 | |
| 4 | 31 | |
| 5 | 6 | |
| 6 | 18 | |
| 7 | 43 | |
| 8 | 107 | |
| 9 | 42 | |
| 10 | 31 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 145 | |
| 15 | 43 | |
| 16 | 42 | |
| 17 | 7 | |
| 18 | 26 | |
| 19 | 55 | |
| 20 | Microwave irradiation promoted synthesis of aryloxy acetic acids | 1 |
About Chia‐Hung Lin
Chia‐Hung Lin is a scholar working on Energy Engineering and Power Technology, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 28 papers that have together received 815 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Microgrid Control and Optimization (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (145 citations), Bioengineering (40 citations) and Control and Systems Engineering (162 citations). Chia‐Hung Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yi‐Chun Du, Lei Wan, Hui-Ju Lin, Shih‐Yen Lin, Ching-Yao Chang, Y. C. Ho, Te‐Tien Ku, Ter-Hsin Chen, Chao‐Shun Chen and Mei‐Yu Chen. Their work appears in journals such as Oncogene, Clinical Cancer Research and Applied 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.