Wan-Ting Shih
Impact in
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- Advanced MIMO Systems Optimization
- Millimeter-Wave Propagation and Modeling
- Full-Duplex Wireless Communications
- Advanced Wireless Communication Techniques
- Advanced Wireless Communication Technologies
- Energy Harvesting in Wireless Networks
- Artificial Intelligence top 5%
- Wireless Signal Modulation Classification
Papers in
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- Advanced MIMO Systems Optimization 4
- Millimeter-Wave Propagation and Modeling 4
- Indoor and Outdoor Localization Technologies 3
- Microwave Engineering and Waveguides 3
- Full-Duplex Wireless Communications 2
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- Wireless Networks and Protocols 2
- Wireless Communication Networks Research 1
- Co-authors
- Chao-Kai Wen (10 shared papers)Shi Jin (8 shared papers)Jiajia Guo (1 shared paper)Hanqing Wang (1 shared paper)Shang-Ho Tsai (5 shared papers)Yu‐Hsuan Kuo (1 shared paper)Hui‐Chih Hung (1 shared paper)Ju‐Yi Hsieh (1 shared paper)
In The Last Decade
Wan-Ting Shih
10 papers receiving 836 citations
Wan-Ting Shih's Hit Papers
Peers
Comparison fields: 5 of 53
- Electrical and Electronic Engineering 662
- Artificial Intelligence 319
- Signal Processing 77
- Aerospace Engineering 169
- Computer Networks and Communications 122
Countries citing papers authored by Wan-Ting Shih
This map shows the geographic impact of Wan-Ting Shih'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 Wan-Ting Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan-Ting Shih more than expected).
Fields of papers citing papers by Wan-Ting Shih
This network shows the impact of papers produced by Wan-Ting Shih. 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 Wan-Ting Shih. The network helps show where Wan-Ting Shih may publish in the future.
Co-authors
The 14 scholars most cited alongside Wan-Ting Shih, 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 | Deep Learning for Massive MIMO CSI Feedback Hit paper breakdown → | 2018 | 728 |
| 2 | 2021 | 52 | |
| 3 | 2019 | 23 | |
| 4 | 2019 | 17 | |
| 5 | 2021 | 10 | |
| 6 | 2024 | 9 | |
| 7 | 2023 | 7 | |
| 8 | 2024 | 2 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 1 | |
| 11 | 2024 | 0 |
About Wan-Ting Shih
Wan-Ting Shih is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Signal Processing and Molecular Biology, having authored 11 papers that have together received 851 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (4 papers), Millimeter-Wave Propagation and Modeling (4 papers), Indoor and Outdoor Localization Technologies (3 papers), Microwave Engineering and Waveguides (3 papers), Wireless Networks and Protocols (2 papers), Full-Duplex Wireless Communications (2 papers), Speech and Audio Processing (2 papers) and Wireless Communication Networks Research (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (662 citations), Artificial Intelligence (319 citations), Signal Processing (77 citations), Aerospace Engineering (169 citations) and Computer Networks and Communications (122 citations). Wan-Ting Shih has collaborated with scholars based in Taiwan, China and Singapore. Frequent co-authors include Chao-Kai Wen, Shi Jin, Jiajia Guo, Hanqing Wang, Shang-Ho Tsai, Yu‐Hsuan Kuo, Hui‐Chih Hung, Ju‐Yi Hsieh, Guang‐Yaw Liu and Jie Yang. Their work appears in journals such as IEEE Communications Letters, IEEE Transactions on Wireless Communications, IEEE Internet of Things Journal, IEEE Transactions on Communications and IEEE Wireless Communications Letters.
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.