Mei‐Ju Shih
- Electrical and Electronic Engineering
- Pathology and Forensic Medicine top 10%
- Computer Networks and Communications top 10%
- Endocrinology, Diabetes and Metabolism
- Neurology
- Co-authors
- Hung‐Yu WeiTzeng‐Ji ChenShinn‐Jang HwangLi‐Fang ChouWui‐Chiang LeeShu‐Lang LiaoTerry J. SmithGuan-Yu Lin
- Topics
- Advanced MIMO Systems Optimization (9 papers)Energy Harvesting in Wireless Networks (7 papers)IoT Networks and Protocols (7 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismIEEE Transactions on Wireless CommunicationsInternational Journal of Environmental Research and Public Health
- Partner nations
- TaiwanUnited States
In The Last Decade
Mei‐Ju Shih
21 papers receiving 395 citations
Peers
Comparison fields: 5 of 111
- Electrical and Electronic Engineering 142
- Pathology and Forensic Medicine 123
- Computer Networks and Communications 97
- Endocrinology, Diabetes and Metabolism 73
- Neurology 42
Countries citing papers authored by Mei‐Ju Shih
This map shows the geographic impact of Mei‐Ju Shih'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 Mei‐Ju Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Ju Shih more than expected).
Fields of papers citing papers by Mei‐Ju Shih
This network shows the impact of papers produced by Mei‐Ju Shih. 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 Mei‐Ju Shih. The network helps show where Mei‐Ju Shih may publish in the future.
Co-authorship network of co-authors of Mei‐Ju Shih
This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Ju Shih. A scholar is included among the top collaborators of Mei‐Ju Shih 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 Mei‐Ju Shih. Mei‐Ju Shih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 14 | |
| 3 | 6 | |
| 4 | 93 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 12 | |
| 8 | 15 | |
| 9 | 23 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 13 | |
| 14 | 12 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 82 | |
| 18 | 9 | |
| 19 | 21 | |
| 20 | 27 |
About Mei‐Ju Shih
Mei‐Ju Shih is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Media Technology, having authored 21 papers that have together received 405 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (9 papers), Energy Harvesting in Wireless Networks (7 papers) and IoT Networks and Protocols (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (123 citations), Ophthalmology (41 citations) and Endocrinology, Diabetes and Metabolism (73 citations). Mei‐Ju Shih has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Hung‐Yu Wei, Tzeng‐Ji Chen, Shinn‐Jang Hwang, Li‐Fang Chou, Wui‐Chiang Lee, Shu‐Lang Liao, Terry J. Smith, Guan-Yu Lin, Rath Vannithamby and Tien‐Chun Chang. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, IEEE Transactions on Wireless Communications and International Journal of Environmental Research and Public Health.
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.