Hongxiang Chen
- Artificial Intelligence top 2%
- Quantum Information and Cryptography 7
- Quantum Computing Algorithms and Architecture 7
- Neural Networks and Reservoir Computing 2
- Neural Networks and Applications 1
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- Quantum and electron transport phenomena 2
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- Advanced Image and Video Retrieval Techniques 2
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- Indoor and Outdoor Localization Technologies 1
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- Machine Learning in Materials Science 1
- Co-authors
- Leonard WossnigJules TillyEdward GrantShuxiang CaoKanav SetiaYing LiIvan RunggerGeorge H. Booth
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Hongxiang Chen
10 papers receiving 630 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 554
- Atomic and Molecular Physics, and Optics 325
- Computational Theory and Mathematics 110
- Statistical and Nonlinear Physics 22
- Computational Mathematics 1
Countries citing papers authored by Hongxiang Chen
This map shows the geographic impact of Hongxiang Chen'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 Hongxiang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongxiang Chen more than expected).
Fields of papers citing papers by Hongxiang Chen
This network shows the impact of papers produced by Hongxiang Chen. 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 Hongxiang Chen. The network helps show where Hongxiang Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hongxiang Chen, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | The Variational Quantum Eigensolver: A review of methods and best practicesbreakdown → | 2022 | 552 |
| 7 | 2021 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 23 | |
| 11 | 2020 | 52 | |
| 12 | 2016 | 2 | |
| 13 | 2015 | 4 |
About Hongxiang Chen
Hongxiang Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 648 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (7 papers), Quantum Computing Algorithms and Architecture (7 papers), Neural Networks and Reservoir Computing (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Quantum and electron transport phenomena (2 papers), Indoor and Outdoor Localization Technologies (1 paper), Neural Networks and Applications (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Artificial Intelligence (554 citations), Atomic and Molecular Physics, and Optics (325 citations) and Computational Theory and Mathematics (110 citations). Hongxiang Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Leonard Wossnig, Jules Tilly, Edward Grant, Shuxiang Cao, Kanav Setia, Ying Li, Ivan Rungger, George H. Booth, Jonathan Tennyson and Simone Severini. Their work appears in journals such as Physics Reports, Wear and Physical review. A.
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.