Yulin Chi
Impact in
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- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
- Quantum Computing Algorithms and Architecture
Papers in
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- Neural Networks and Reservoir Computing 6
- Quantum Information and Cryptography 6
- Quantum Computing Algorithms and Architecture 4
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- Complex Network Analysis Techniques 2
- Co-authors
- Jianwei Wang (6 shared papers)Qihuang Gong (6 shared papers)Xiaojiong Chen (2 shared papers)Jueming Bao (1 shared paper)Leif Katsuo Oxenløwe (1 shared paper)Yunhong Ding (1 shared paper)Davide Bacco (1 shared paper)Jieshan Huang (2 shared papers)
- Journals
- Nature Communications (1 paper)Science China Information Sciences (1 paper)IEEE Journal of Selected Topics in Quantum Electronics (1 paper)Photonics Research (1 paper)Journal of Environmental Planning and Management (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yulin Chi
10 papers receiving 98 citations
Peers
Comparison fields: 5 of 31
- Acoustics and Ultrasonics 2
- Artificial Intelligence 67
- Atomic and Molecular Physics, and Optics 49
- Electrical and Electronic Engineering 58
- Structural Biology 1
Countries citing papers authored by Yulin Chi
This map shows the geographic impact of Yulin Chi'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 Yulin Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulin Chi more than expected).
Fields of papers citing papers by Yulin Chi
This network shows the impact of papers produced by Yulin Chi. 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 Yulin Chi. The network helps show where Yulin Chi may publish in the future.
Co-authors
The 20 scholars most cited alongside Yulin Chi, 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 | 2020 | 61 | |
| 2 | 2024 | 16 | |
| 3 | 2023 | 13 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 1 |
About Yulin Chi
Yulin Chi is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Health, Toxicology and Mutagenesis, Environmental Engineering and Economics and Econometrics, having authored 10 papers that have together received 106 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (6 papers), Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (4 papers), Air Quality and Health Impacts (2 papers), Complex Network Analysis Techniques (2 papers), Energy, Environment, Economic Growth (2 papers), Environmental Impact and Sustainability (2 papers) and Optical Network Technologies (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (2 citations), Artificial Intelligence (67 citations), Atomic and Molecular Physics, and Optics (49 citations), Electrical and Electronic Engineering (58 citations) and Structural Biology (1 citation). Yulin Chi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianwei Wang, Qihuang Gong, Xiaojiong Chen, Jueming Bao, Leif Katsuo Oxenløwe, Yunhong Ding, Davide Bacco, Jieshan Huang, Chonghao Zhai and Yun Zheng. Their work appears in journals such as Nature Communications, Science China Information Sciences, IEEE Journal of Selected Topics in Quantum Electronics, Photonics Research and Journal of Environmental Planning and Management.
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.