Yu‐Chi Chung
Impact in
- Transportation top 10%
- Transportation Planning and Optimization
-
- Railway Systems and Energy Efficiency
Papers in
-
- Energy Efficient Wireless Sensor Networks 5
- Optimization and Search Problems 3
- Caching and Content Delivery 2
- Distributed and Parallel Computing Systems 2
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- Data Management and Algorithms 11
- Co-authors
- Chiang Lee (14 shared papers)Chia‐Nan Wang (6 shared papers)Chao‐Chun Chen (3 shared papers)Nhat‐Luong Nhieu (3 shared papers)Thanh‐Tuan Dang (2 shared papers)Ngoc-Ai-Thy Nguyen (2 shared papers)Alinka Greasley (1 shared paper)Li‐Yu Hu (1 shared paper)
In The Last Decade
Yu‐Chi Chung
26 papers receiving 279 citations
Peers
Comparison fields: 5 of 62
- Transportation 55
- Industrial and Manufacturing Engineering 69
- Signal Processing 59
- Computer Networks and Communications 91
- Geography, Planning and Development 16
Countries citing papers authored by Yu‐Chi Chung
This map shows the geographic impact of Yu‐Chi Chung'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‐Chi Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chi Chung more than expected).
Fields of papers citing papers by Yu‐Chi Chung
This network shows the impact of papers produced by Yu‐Chi Chung. 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‐Chi Chung. The network helps show where Yu‐Chi Chung may publish in the future.
Co-authors
The 13 scholars most cited alongside Yu‐Chi Chung, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 58 | |
| 2 | 2012 | 27 | |
| 3 | 2021 | 25 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 17 | |
| 7 | 2010 | 14 | |
| 8 | 2023 | 13 | |
| 9 | 2007 | 12 | |
| 10 | 2005 | 12 | |
| 11 | 2010 | 12 | |
| 12 | 2017 | 9 | |
| 13 | 2006 | 9 | |
| 14 | 2011 | 7 | |
| 15 | 2005 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2016 | 4 | |
| 18 | 2013 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2008 | 3 |
About Yu‐Chi Chung
Yu‐Chi Chung is a scholar working on Computer Networks and Communications, Signal Processing, Management Science and Operations Research, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 27 papers that have together received 294 indexed citations. Recurring topics across this work include Data Management and Algorithms (11 papers), Energy Efficient Wireless Sensor Networks (5 papers), Geographic Information Systems Studies (4 papers), Optimization and Search Problems (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Caching and Content Delivery (2 papers), Distributed and Parallel Computing Systems (2 papers) and Urban and Freight Transport Logistics (2 papers). The work is most often cited by research in Transportation (55 citations), Industrial and Manufacturing Engineering (69 citations), Signal Processing (59 citations), Computer Networks and Communications (91 citations) and Geography, Planning and Development (16 citations). Yu‐Chi Chung has collaborated with scholars based in Taiwan, Vietnam and Yemen. Frequent co-authors include Chiang Lee, Chia‐Nan Wang, Chao‐Chun Chen, Nhat‐Luong Nhieu, Thanh‐Tuan Dang, Ngoc-Ai-Thy Nguyen, Alinka Greasley, Li‐Yu Hu, Yi‐Ying Lin and Ming-Chuan Wu. Their work appears in journals such as Journal of Parallel and Distributed Computing, Information Sciences, Energies, PLoS ONE and IEEE Transactions on Knowledge and Data Engineering.
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.