Win‐Tsung Lo
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence
- Industrial and Manufacturing Engineering top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Yue‐Shan ChangShyan‐Ming YuanWei-Jen WangRuey‐Kai SheuShietung PengYu WangToshio FukudaYing Liu
- Topics
- Distributed and Parallel Computing Systems (7 papers)Service-Oriented Architecture and Web Services (7 papers)Cloud Computing and Resource Management (7 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsIndustrial and Manufacturing Engineering
- Journals
- IEEE AccessIEEE Transactions on Knowledge and Data EngineeringFuture Generation Computer Systems
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Win‐Tsung Lo
28 papers receiving 342 citations
Peers
Comparison fields: 5 of 76
- Computer Networks and Communications 173
- Information Systems 139
- Artificial Intelligence 64
- Industrial and Manufacturing Engineering 44
- Computer Vision and Pattern Recognition 43
Countries citing papers authored by Win‐Tsung Lo
This map shows the geographic impact of Win‐Tsung Lo'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 Win‐Tsung Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Win‐Tsung Lo more than expected).
Fields of papers citing papers by Win‐Tsung Lo
This network shows the impact of papers produced by Win‐Tsung Lo. 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 Win‐Tsung Lo. The network helps show where Win‐Tsung Lo may publish in the future.
Co-authorship network of co-authors of Win‐Tsung Lo
This figure shows the co-authorship network connecting the top 25 collaborators of Win‐Tsung Lo. A scholar is included among the top collaborators of Win‐Tsung Lo 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 Win‐Tsung Lo. Win‐Tsung Lo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 29 | |
| 3 | 10 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | The Practice of Two-Phase Recommender System for Sporting Goods | 3 |
| 8 | 42 | |
| 9 | 89 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 6 | |
| 20 | Task Allocation on the Hypercube Multiprocessor. | 0 |
About Win‐Tsung Lo
Win‐Tsung Lo is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 31 papers that have together received 357 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (7 papers), Service-Oriented Architecture and Web Services (7 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Computer Networks and Communications (173 citations), Information Systems (139 citations) and Industrial and Manufacturing Engineering (44 citations). Win‐Tsung Lo has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yue‐Shan Chang, Shyan‐Ming Yuan, Wei-Jen Wang, Ruey‐Kai Sheu, Shietung Peng, Yu Wang, Toshio Fukuda, Ying Liu, Imad H. Elhajj and Ning Xi. Their work appears in journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and Future Generation Computer Systems.
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.