Fan-Keng Sun
Impact in
- Signal Processing top 5%
- Time Series Analysis and Forecasting
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
Papers in
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- Data Stream Mining Techniques 2
- Topic Modeling 2
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- VLSI and Analog Circuit Testing 3
- Co-authors
- Hung-yi Lee (3 shared papers)Yao‐Wen Chang (4 shared papers)Ching‐Yu Chen (1 shared paper)Hao Chen (1 shared paper)Hao Chen (2 shared papers)Duane S. Boning (3 shared papers)John T. Ruth (1 shared paper)Kyongmin Yeo (1 shared paper)
- Journals
- IEEE Transactions on Semiconductor Manufacturing (2 papers)SIAM Journal on Scientific Computing (1 paper)Machine Learning (1 paper)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- TaiwanUnited States
In The Last Decade
Fan-Keng Sun
10 papers receiving 717 citations
Fan-Keng Sun's Hit Papers
Peers
Comparison fields: 5 of 93
- Signal Processing 202
- Management Science and Operations Research 200
- Building and Construction 140
- Artificial Intelligence 248
- Transportation 43
Countries citing papers authored by Fan-Keng Sun
This map shows the geographic impact of Fan-Keng Sun'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 Fan-Keng Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan-Keng Sun more than expected).
Fields of papers citing papers by Fan-Keng Sun
This network shows the impact of papers produced by Fan-Keng Sun. 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 Fan-Keng Sun. The network helps show where Fan-Keng Sun may publish in the future.
Co-authors
The 9 scholars most cited alongside Fan-Keng Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Temporal pattern attention for multivariate time series forecasting Hit paper breakdown → | 2019 | 630 |
| 2 | 2018 | 23 | |
| 3 | 2022 | 20 | |
| 4 | LAMOL: LAnguage MOdeling for Lifelong Language Learning | 2019 | 15 |
| 5 | 2020 | 14 | |
| 6 | LAMAL: LAnguage Modeling Is All You Need for Lifelong Language Learning | 2019 | 8 |
| 7 | 2019 | 8 | |
| 8 | 2019 | 7 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 4 |
About Fan-Keng Sun
Fan-Keng Sun is a scholar working on Artificial Intelligence, Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 733 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (4 papers), VLSI and Analog Circuit Testing (3 papers), Data Stream Mining Techniques (2 papers), Multimodal Machine Learning Applications (2 papers), Interconnection Networks and Systems (2 papers), Topic Modeling (2 papers), Time Series Analysis and Forecasting (1 paper) and Advanced Statistical Process Monitoring (1 paper). The work is most often cited by research in Signal Processing (202 citations), Management Science and Operations Research (200 citations), Building and Construction (140 citations), Artificial Intelligence (248 citations) and Transportation (43 citations). Fan-Keng Sun has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Hung-yi Lee, Yao‐Wen Chang, Ching‐Yu Chen, Hao Chen, Hao Chen, Duane S. Boning, John T. Ruth, Kyongmin Yeo and Jayant Kalagnanam. Their work appears in journals such as IEEE Transactions on Semiconductor Manufacturing, SIAM Journal on Scientific Computing, Machine Learning, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and arXiv (Cornell University).
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.