Dax Enshan Koh
- Computational Mathematics top 10%
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture 28
- Quantum Information and Cryptography 20
- Machine Learning and Algorithms 4
- Neural Networks and Reservoir Computing 4
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- Quantum and electron transport phenomena 6
- Quantum Mechanics and Applications 5
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- Computability, Logic, AI Algorithms 3
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- Low-power high-performance VLSI design 4
- Journals
- Physical Review Letters (2 papers)IEEE Transactions on Microwave Theory and Techniques (1 paper)Communications in Mathematical Physics (2 papers)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Dax Enshan Koh
31 papers receiving 394 citations
Peers
Comparison fields: 5 of 42
- Computational Mathematics 10
- Artificial Intelligence 353
- Atomic and Molecular Physics, and Optics 212
- Acoustics and Ultrasonics 4
- Computational Theory and Mathematics 62
Countries citing papers authored by Dax Enshan Koh
This map shows the geographic impact of Dax Enshan Koh'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 Dax Enshan Koh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dax Enshan Koh more than expected).
Fields of papers citing papers by Dax Enshan Koh
This network shows the impact of papers produced by Dax Enshan Koh. 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 Dax Enshan Koh. The network helps show where Dax Enshan Koh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dax Enshan Koh, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 5 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 7 | |
| 6 | 2024 | 14 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 29 | |
| 9 | 2024 | 18 | |
| 10 | 2024 | 14 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 33 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 61 | |
| 15 | 2022 | 12 | |
| 16 | 2022 | 13 | |
| 17 | 2020 | 5 | |
| 18 | 2018 | 3 | |
| 19 | Quantum Supremacy Lower Bounds by Entanglement Scaling. | 2018 | 3 |
| 20 | Quantum Advantage from Conjugated Clifford Circuits. | 2017 | 1 |
About Dax Enshan Koh
Dax Enshan Koh is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 33 papers that have together received 410 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (28 papers), Quantum Information and Cryptography (20 papers), Quantum and electron transport phenomena (6 papers), Quantum Mechanics and Applications (5 papers), Machine Learning and Algorithms (4 papers), Neural Networks and Reservoir Computing (4 papers), Low-power high-performance VLSI design (4 papers) and Computability, Logic, AI Algorithms (3 papers). The work is most often cited by research in Computational Mathematics (10 citations), Artificial Intelligence (353 citations) and Atomic and Molecular Physics, and Optics (212 citations). Dax Enshan Koh has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Kaifeng Bu, Peter D. Johnson, Yudong Cao, Bujiao Wu, Lu Li, Arthur Jaffe, Valerio Scarani, Artur Ekert, Michael J. W. Hall and Chiara Marletto. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Microwave Theory and Techniques and Communications in Mathematical Physics.
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.