Jun Gu
Impact in
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Bayesian Modeling and Causal Inference
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- Formal Methods in Verification
Papers in
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- Quantum Information and Cryptography 9
- Quantum Computing Algorithms and Architecture 7
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- Quantum Mechanics and Applications 9
- Co-authors
- Tzonelih Hwang (9 shared papers)Ding‐Zhu Du (1 shared paper)Pãnos M. Pardalos (1 shared paper)Chia‐Wei Tsai (3 shared papers)Ruchir Puri (1 shared paper)Prosanta Gope (1 shared paper)Jingyu Huang (1 shared paper)Guojin Wang (1 shared paper)
In The Last Decade
Jun Gu
18 papers receiving 334 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 238
- Computational Theory and Mathematics 82
- Atomic and Molecular Physics, and Optics 157
- Computer Networks and Communications 87
- Software 12
Countries citing papers authored by Jun Gu
This map shows the geographic impact of Jun 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 Jun Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Gu more than expected).
Fields of papers citing papers by Jun Gu
This network shows the impact of papers produced by Jun 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 Jun Gu. The network helps show where Jun Gu may publish in the future.
Co-authors
The 19 scholars most cited alongside Jun 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
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 72 | |
| 2 | 1994 | 51 | |
| 3 | 2017 | 43 | |
| 4 | 2018 | 42 | |
| 5 | 2019 | 28 | |
| 6 | 1995 | 26 | |
| 7 | 2017 | 23 | |
| 8 | 2019 | 14 | |
| 9 | 2009 | 14 | |
| 10 | 2016 | 7 | |
| 11 | 2017 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2015 | 6 | |
| 14 | Research on Intrusion Detection System Based on KPCA and SVM | 2010 | 4 |
| 15 | 2018 | 3 | |
| 16 | 2019 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2013 | 1 |
About Jun Gu
Jun Gu is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 18 papers that have together received 349 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (9 papers), Quantum Mechanics and Applications (9 papers), Quantum Computing Algorithms and Architecture (7 papers), Advanced MIMO Systems Optimization (3 papers), Constraint Satisfaction and Optimization (3 papers), Formal Methods in Verification (3 papers), Cooperative Communication and Network Coding (2 papers) and Wireless Communication Networks Research (1 paper). The work is most often cited by research in Artificial Intelligence (238 citations), Computational Theory and Mathematics (82 citations), Atomic and Molecular Physics, and Optics (157 citations), Computer Networks and Communications (87 citations) and Software (12 citations). Jun Gu has collaborated with scholars based in Taiwan, China and Canada. Frequent co-authors include Tzonelih Hwang, Ding‐Zhu Du, Pãnos M. Pardalos, Chia‐Wei Tsai, Ruchir Puri, Prosanta Gope, Jingyu Huang, Guojin Wang, Jiuxin Cao and Kang G. Shin. Their work appears in journals such as Quantum Information Processing, Experimental Dermatology, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Electronics.
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.