Jun Qi
Impact in
- Computational Mathematics top 5%
-
- Liquid Crystal Research Advancements
Papers in
-
- Photonic and Optical Devices 15
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- Photonic Crystals and Applications 15
- Photorefractive and Nonlinear Optics 11
- Co-authors
- Mousumi De Sarkar (6 shared papers)Chao-Han Huck Yang (9 shared papers)Michael J. Escuti (4 shared papers)Pin‐Yu Chen (6 shared papers)Javier Tejedor (9 shared papers)Chin‐Hui Lee (8 shared papers)Bharat Bhushan (1 shared paper)Sabato Marco Siniscalchi (7 shared papers)
- Journals
- Applied Physics Letters (5 papers)Optics Letters (2 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Journal of Applied Physics (2 papers)Journal of the Society for Information Display (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Jun Qi
76 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 125
- Computational Mathematics 30
- Electronic, Optical and Magnetic Materials 454
- Atomic and Molecular Physics, and Optics 567
- Signal Processing 154
- Artificial Intelligence 368
Countries citing papers authored by Jun Qi
This map shows the geographic impact of Jun Qi'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 Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Qi more than expected).
Fields of papers citing papers by Jun Qi
This network shows the impact of papers produced by Jun Qi. 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 Qi. The network helps show where Jun Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Qi, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 119 | |
| 2 | 2003 | 98 | |
| 3 | 2003 | 97 | |
| 4 | 2003 | 92 | |
| 5 | 2002 | 79 | |
| 6 | 2003 | 75 | |
| 7 | 2002 | 57 | |
| 8 | 2003 | 56 | |
| 9 | 2013 | 53 | |
| 10 | 2006 | 53 | |
| 11 | 2002 | 52 | |
| 12 | 2004 | 48 | |
| 13 | 2022 | 47 | |
| 14 | 2020 | 43 | |
| 15 | 2023 | 42 | |
| 16 | 2022 | 39 | |
| 17 | 2004 | 37 | |
| 18 | 2004 | 29 | |
| 19 | 2003 | 27 | |
| 20 | 2023 | 24 |
About Jun Qi
Jun Qi is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Artificial Intelligence and Materials Chemistry, having authored 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liquid Crystal Research Advancements (22 papers), Photonic Crystals and Applications (15 papers), Photonic and Optical Devices (15 papers), Speech and Audio Processing (12 papers), Photorefractive and Nonlinear Optics (11 papers), Speech Recognition and Synthesis (9 papers), Quantum Computing Algorithms and Architecture (7 papers) and Advanced Optical Imaging Technologies (6 papers). The work is most often cited by research in Computational Mathematics (30 citations), Electronic, Optical and Magnetic Materials (454 citations), Atomic and Molecular Physics, and Optics (567 citations), Signal Processing (154 citations) and Artificial Intelligence (368 citations). Jun Qi has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Mousumi De Sarkar, Chao-Han Huck Yang, Michael J. Escuti, Pin‐Yu Chen, Javier Tejedor, Chin‐Hui Lee, Bharat Bhushan, Sabato Marco Siniscalchi, Xiaoli Ma and Yansong Zhu. Their work appears in journals such as Applied Physics Letters, Optics Letters, IEEE/ACM Transactions on Audio Speech and Language Processing, Journal of Applied Physics and Journal of the Society for Information Display.
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.