Chee‐Kong Lee
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Advanced Graph Neural Networks
- Explainable Artificial Intelligence (XAI)
- Neural Networks and Reservoir Computing
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- Quantum and electron transport phenomena
- Quantum many-body systems
Papers in
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- Quantum Computing Algorithms and Architecture 6
- Quantum Information and Cryptography 5
- Neural Networks and Reservoir Computing 3
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- Quantum and electron transport phenomena 2
- Spectroscopy and Quantum Chemical Studies 2
- Quantum many-body systems 2
- Co-authors
- Chang‐Yu Hsieh (7 shared papers)Shengyu Zhang (6 shared papers)Zaixi Zhang (3 shared papers)Liang Shi (5 shared papers)Chengqiang Lu (2 shared papers)Hao Wang (1 shared paper)Qi Liu (1 shared paper)Hong Yao (2 shared papers)
- Journals
- The Journal of Chemical Physics (2 papers)Journal of Chemical Theory and Computation (2 papers)EPJ Quantum Technology (1 paper)Chemical Science (1 paper)Quantum (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Chee‐Kong Lee
13 papers receiving 339 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 241
- Atomic and Molecular Physics, and Optics 105
- Computational Theory and Mathematics 52
- Acoustics and Ultrasonics 2
- Computational Mathematics 1
Countries citing papers authored by Chee‐Kong Lee
This map shows the geographic impact of Chee‐Kong Lee'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 Chee‐Kong Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chee‐Kong Lee more than expected).
Fields of papers citing papers by Chee‐Kong Lee
This network shows the impact of papers produced by Chee‐Kong Lee. 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 Chee‐Kong Lee. The network helps show where Chee‐Kong Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Chee‐Kong Lee, 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 | 2023 | 71 | |
| 2 | 2022 | 69 | |
| 3 | 2022 | 38 | |
| 4 | 2021 | 36 | |
| 5 | 2022 | 29 | |
| 6 | 2022 | 25 | |
| 7 | 2020 | 24 | |
| 8 | 2021 | 15 | |
| 9 | 2022 | 15 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 1 |
About Chee‐Kong Lee
Chee‐Kong Lee is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Materials Chemistry, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 13 papers that have together received 349 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (6 papers), Machine Learning in Materials Science (5 papers), Quantum Information and Cryptography (5 papers), Neural Networks and Reservoir Computing (3 papers), Quantum and electron transport phenomena (2 papers), Computational Drug Discovery Methods (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and Quantum many-body systems (2 papers). The work is most often cited by research in Artificial Intelligence (241 citations), Atomic and Molecular Physics, and Optics (105 citations), Computational Theory and Mathematics (52 citations), Acoustics and Ultrasonics (2 citations) and Computational Mathematics (1 citation). Chee‐Kong Lee has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Chang‐Yu Hsieh, Shengyu Zhang, Zaixi Zhang, Liang Shi, Chengqiang Lu, Hao Wang, Qi Liu, Hong Yao, Shi‐Xin Zhang and Qiming Sun. Their work appears in journals such as The Journal of Chemical Physics, Journal of Chemical Theory and Computation, EPJ Quantum Technology, Chemical Science and Quantum.
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.