Yu-Hsin Hung
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
- Medical Laboratory Technology top 10%
Papers in
-
- IoT and Edge/Fog Computing 4
- Co-authors
- Weichao Xu (7 shared papers)Yuexian Zou (1 shared paper)Chunqi Chang (3 shared papers)P. C. W. Fung (3 shared papers)Chia‐Yen Lee (5 shared papers)Ray-I Chang (4 shared papers)Min Du (1 shared paper)Yurong Li (1 shared paper)
In The Last Decade
Yu-Hsin Hung
25 papers receiving 426 citations
Peers
Comparison fields: 5 of 121
- Statistics and Probability 60
- Medical Laboratory Technology 9
- Industrial and Manufacturing Engineering 45
- Signal Processing 47
- Statistics, Probability and Uncertainty 30
Countries citing papers authored by Yu-Hsin Hung
This map shows the geographic impact of Yu-Hsin Hung'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 Yu-Hsin Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Hsin Hung more than expected).
Fields of papers citing papers by Yu-Hsin Hung
This network shows the impact of papers produced by Yu-Hsin Hung. 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 Yu-Hsin Hung. The network helps show where Yu-Hsin Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu-Hsin Hung, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 112 | |
| 2 | 2007 | 46 | |
| 3 | 2013 | 39 | |
| 4 | 2008 | 30 | |
| 5 | 2009 | 29 | |
| 6 | 2013 | 23 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 21 | |
| 9 | 2024 | 17 | |
| 10 | 2019 | 17 | |
| 11 | 2006 | 15 | |
| 12 | 2020 | 13 | |
| 13 | 2022 | 10 | |
| 14 | 2023 | 10 | |
| 15 | 2011 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2021 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2017 | 2 |
About Yu-Hsin Hung
Yu-Hsin Hung is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Industrial and Manufacturing Engineering and Signal Processing, having authored 29 papers that have together received 437 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (4 papers), Digital Transformation in Industry (4 papers), IoT and Edge/Fog Computing (4 papers), Advanced Statistical Methods and Models (3 papers), Advanced Statistical Process Monitoring (2 papers), Fault Detection and Control Systems (2 papers), Cloud Computing and Resource Management (2 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Statistics and Probability (60 citations), Medical Laboratory Technology (9 citations), Industrial and Manufacturing Engineering (45 citations), Signal Processing (47 citations) and Statistics, Probability and Uncertainty (30 citations). Yu-Hsin Hung has collaborated with scholars based in Taiwan, Hong Kong and China. Frequent co-authors include Weichao Xu, Yuexian Zou, Chunqi Chang, P. C. W. Fung, Chia‐Yen Lee, Ray-I Chang, Min Du, Yurong Li, Nianyin Zeng and Mahesan Niranjan. Their work appears in journals such as IEEE Transactions on Signal Processing, Annals of Operations Research, Expert Systems with Applications, Applied Sciences and Signal Processing.
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.