Mi-Yen Yeh
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Co-authors
- Ming-Syan Chen⋆Bi-Ru DaiShou-De LinJen-Wei HuangCheng–Te LiPhilip S. YuKun‐Lung WuTei‐Wei Kuo
- Topics
- Complex Network Analysis Techniques (18 papers)Opinion Dynamics and Social Influence (11 papers)Data Management and Algorithms (10 papers)
- Journals
- Information SciencesIEEE Transactions on Knowledge and Data EngineeringIEEE Transactions on Computers
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Mi-Yen Yeh
45 papers receiving 570 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 288
- Signal Processing 149
- Statistical and Nonlinear Physics 128
- Computer Networks and Communications 124
- Information Systems 123
Countries citing papers authored by Mi-Yen Yeh
This map shows the geographic impact of Mi-Yen Yeh'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 Mi-Yen Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi-Yen Yeh more than expected).
Fields of papers citing papers by Mi-Yen Yeh
This network shows the impact of papers produced by Mi-Yen Yeh. 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 Mi-Yen Yeh. The network helps show where Mi-Yen Yeh may publish in the future.
Co-authorship network of co-authors of Mi-Yen Yeh
This figure shows the co-authorship network connecting the top 25 collaborators of Mi-Yen Yeh. A scholar is included among the top collaborators of Mi-Yen Yeh 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 Mi-Yen Yeh. Mi-Yen Yeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 20 | |
| 3 | 12 | |
| 4 | 22 | |
| 5 | 20 | |
| 6 | 1 | |
| 7 | Preserving Proximity and Global Ranking for Node Embedding | 4 |
| 8 | PRUNE: Preserving Proximity and Global Ranking for Network Embedding | 31 |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 17 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 63 |
About Mi-Yen Yeh
Mi-Yen Yeh is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Computer Networks and Communications, having authored 45 papers that have together received 597 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (18 papers), Opinion Dynamics and Social Influence (11 papers) and Data Management and Algorithms (10 papers). The work is most often cited by research in Signal Processing (149 citations), Statistical and Nonlinear Physics (128 citations) and Artificial Intelligence (288 citations). Mi-Yen Yeh has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Ming-Syan Chen⋆, Bi-Ru Dai, Shou-De Lin, Jen-Wei Huang, Cheng–Te Li, Philip S. Yu, Kun‐Lung Wu, Tei‐Wei Kuo, Yu-Ching Hsu and Junli Lu. Their work appears in journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Computers.
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.