Bin Gu
Impact in
- Artificial Intelligence top 2%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Privacy-Preserving Technologies in Data
- Stochastic Gradient Optimization Techniques
- Cryptography and Data Security
- Geochemistry and Geologic Mapping
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- Quantum Mechanics and Applications
- Quantum optics and atomic interactions
Papers in
-
- Quantum Information and Cryptography 12
- Quantum Computing Algorithms and Architecture 10
- Stochastic Gradient Optimization Techniques 5
- Privacy-Preserving Technologies in Data 4
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- Quantum Mechanics and Applications 12
- Quantum optics and atomic interactions 2
- Co-authors
- Yugai Huang (5 shared papers)Fang Xia (4 shared papers)Chengyi Zhang (3 shared papers)Yulin Chen (5 shared papers)Cheng Deng (3 shared papers)Heng Huang (3 shared papers)Zhouyuan Huo (2 shared papers)An Xu (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (2 papers)Optics Communications (1 paper)Journal of Nanoparticle Research (1 paper)Journal of Pressure Vessel Technology (1 paper)Machine Learning (1 paper)
- Partner nations
- ChinaJapanUnited Arab Emirates
In The Last Decade
Bin Gu
32 papers receiving 739 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 679
- Atomic and Molecular Physics, and Optics 473
- Health Informatics 5
- Computational Mathematics 2
- Computer Science Applications 18
Countries citing papers authored by Bin Gu
This map shows the geographic impact of Bin Gu'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 Bin Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Gu more than expected).
Fields of papers citing papers by Bin Gu
This network shows the impact of papers produced by Bin Gu. 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 Bin Gu. The network helps show where Bin Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 114 | |
| 2 | 2011 | 112 | |
| 3 | 2010 | 65 | |
| 4 | 2009 | 54 | |
| 5 | 2011 | 48 | |
| 6 | 2001 | 47 | |
| 7 | 2012 | 46 | |
| 8 | 2013 | 44 | |
| 9 | 2021 | 34 | |
| 10 | 2009 | 32 | |
| 11 | 2012 | 24 | |
| 12 | 2012 | 23 | |
| 13 | 2012 | 19 | |
| 14 | 2016 | 17 | |
| 15 | 2012 | 17 | |
| 16 | 2010 | 14 | |
| 17 | 1998 | 14 | |
| 18 | Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines | 2018 | 11 |
| 19 | 2015 | 7 | |
| 20 | 2020 | 7 |
About Bin Gu
Bin Gu is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Mechanical Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 33 papers that have together received 782 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (12 papers), Quantum Information and Cryptography (12 papers), Quantum Computing Algorithms and Architecture (10 papers), Stochastic Gradient Optimization Techniques (5 papers), Privacy-Preserving Technologies in Data (4 papers), Face and Expression Recognition (2 papers), Quantum optics and atomic interactions (2 papers) and Heat Transfer Mechanisms (2 papers). The work is most often cited by research in Artificial Intelligence (679 citations), Atomic and Molecular Physics, and Optics (473 citations), Health Informatics (5 citations), Computational Mathematics (2 citations) and Computer Science Applications (18 citations). Bin Gu has collaborated with scholars based in China, Japan and United Arab Emirates. Frequent co-authors include Yugai Huang, Fang Xia, Chengyi Zhang, Yulin Chen, Cheng Deng, Heng Huang, Zhouyuan Huo, An Xu, Katsuaki Koike and L. K. Ding. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Optics Communications, Journal of Nanoparticle Research, Journal of Pressure Vessel Technology and Machine Learning.
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.