Daniel Bochen Tan
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Hardware and Architecture
- Co-authors
- Jason CongDolev BluvsteinMikhail D. LukinWan-Hsuan LinNikolaj BjørnerJiaqi GuSong HanMurphy Yuezhen Niu
- Topics
- Quantum Computing Algorithms and Architecture (11 papers)Quantum Information and Cryptography (10 papers)Quantum-Dot Cellular Automata (3 papers)
- Journals
- IEEE Transactions on ComputersIEEE Journal on Emerging and Selected Topics in Circuits and SystemsQuantum
- Partner nations
- United States
In The Last Decade
Daniel Bochen Tan
10 papers receiving 156 citations
Peers
Comparison fields: 5 of 13
- Artificial Intelligence 153
- Atomic and Molecular Physics, and Optics 52
- Computational Theory and Mathematics 44
- Electrical and Electronic Engineering 32
- Hardware and Architecture 27
Countries citing papers authored by Daniel Bochen Tan
This map shows the geographic impact of Daniel Bochen Tan'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 Daniel Bochen Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bochen Tan more than expected).
Fields of papers citing papers by Daniel Bochen Tan
This network shows the impact of papers produced by Daniel Bochen Tan. 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 Daniel Bochen Tan. The network helps show where Daniel Bochen Tan may publish in the future.
Co-authorship network of co-authors of Daniel Bochen Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Bochen Tan. A scholar is included among the top collaborators of Daniel Bochen Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Bochen Tan. Daniel Bochen Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 18 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 15 | |
| 9 | 12 | |
| 10 | 22 | |
| 11 | 56 |
About Daniel Bochen Tan
Daniel Bochen Tan is a scholar working on Artificial Intelligence, Hardware and Architecture and Computational Theory and Mathematics, having authored 11 papers that have together received 162 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (11 papers), Quantum Information and Cryptography (10 papers) and Quantum-Dot Cellular Automata (3 papers). The work is most often cited by research in Artificial Intelligence (153 citations), Hardware and Architecture (27 citations) and Computational Theory and Mathematics (44 citations). Daniel Bochen Tan has collaborated with scholars based in United States. Frequent co-authors include Jason Cong, Dolev Bluvstein, Mikhail D. Lukin, Wan-Hsuan Lin, Nikolaj Bjørner, Jiaqi Gu, Song Han, Murphy Yuezhen Niu, Hanrui Wang and Umut A. Acar. Their work appears in journals such as IEEE Transactions on Computers, IEEE Journal on Emerging and Selected Topics in Circuits and Systems 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.