Ji Chu
Impact in
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- Quantum and electron transport phenomena
- Topological Materials and Phenomena
- Quantum many-body systems
- Cold Atom Physics and Bose-Einstein Condensates
- Quantum Mechanics and Non-Hermitian Physics
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Papers in
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- Quantum and electron transport phenomena 17
- Cold Atom Physics and Bose-Einstein Condensates 2
- Quantum many-body systems 2
- Quantum optics and atomic interactions 2
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- Quantum Information and Cryptography 17
- Quantum Computing Algorithms and Architecture 13
- Neural Networks and Reservoir Computing 2
- Co-authors
- Yang Yu (8 shared papers)Xinsheng Tan (9 shared papers)Song Liu (9 shared papers)Libo Zhang (8 shared papers)Dapeng Yu (9 shared papers)Fei Yan (6 shared papers)Yuxuan Zhou (9 shared papers)Jian Li (5 shared papers)
In The Last Decade
Ji Chu
16 papers receiving 503 citations
Peers
Comparison fields: 5 of 28
- Atomic and Molecular Physics, and Optics 441
- Artificial Intelligence 381
- Statistical and Nonlinear Physics 65
- Acoustics and Ultrasonics 2
- Condensed Matter Physics 25
Countries citing papers authored by Ji Chu
This map shows the geographic impact of Ji Chu'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 Ji Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Chu more than expected).
Fields of papers citing papers by Ji Chu
This network shows the impact of papers produced by Ji Chu. 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 Ji Chu. The network helps show where Ji Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Chu, 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 | 113 | |
| 2 | 2022 | 107 | |
| 3 | 2019 | 97 | |
| 4 | 2020 | 51 | |
| 5 | 2020 | 38 | |
| 6 | 2023 | 30 | |
| 7 | 2022 | 27 | |
| 8 | 2022 | 18 | |
| 9 | 2019 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2019 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2021 | 0 |
About Ji Chu
Ji Chu is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Statistical and Nonlinear Physics and Infectious Diseases, having authored 20 papers that have together received 520 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (17 papers), Quantum Information and Cryptography (17 papers), Quantum Computing Algorithms and Architecture (13 papers), Cold Atom Physics and Bose-Einstein Condensates (2 papers), Neural Networks and Reservoir Computing (2 papers), Quantum many-body systems (2 papers), Quantum optics and atomic interactions (2 papers) and Physics of Superconductivity and Magnetism (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (441 citations), Artificial Intelligence (381 citations), Statistical and Nonlinear Physics (65 citations), Acoustics and Ultrasonics (2 citations) and Condensed Matter Physics (25 citations). Ji Chu has collaborated with scholars based in China, Brazil and Australia. Frequent co-authors include Yang Yu, Xinsheng Tan, Song Liu, Libo Zhang, Dapeng Yu, Fei Yan, Yuxuan Zhou, Jian Li, Yuan Xu and Haifeng Yu. Their work appears in journals such as Physical Review Letters, Applied Physics Letters, Physical Review Applied, Quantum Science and Technology and Nature Communications.
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.