Jun Qi
Impact in
- Computational Mathematics top 5%
-
- Liquid Crystal Research Advancements
Papers in
-
- Tensor decomposition and applications 5
-
- Liquid Crystal Research Advancements 22
- Co-authors
- Gregory P. CrawfordMousumi De SarkarChao-Han Huck YangMichael J. EscutiPin‐Yu ChenJavier TejedorChin‐Hui LeeSabato Marco Siniscalchi
- Journals
- Applied Physics Letters (5 papers)Journal of Applied Physics (2 papers)Optics Letters (2 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Optics Express (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Jun Qi
70 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Computational Mathematics 30
- Electronic, Optical and Magnetic Materials 439
- Atomic and Molecular Physics, and Optics 536
- Signal Processing 146
- Artificial Intelligence 337
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 39 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 21 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 44 | |
| 12 | 2022 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 11 | |
| 15 | 2012 | 1 | |
| 16 | 2005 | 15 | |
| 17 | 2004 | 4 | |
| 18 | 2003 | 6 | |
| 19 | 2003 | 16 | |
| 20 | 2002 | 2 |
About Jun Qi
Jun Qi is a scholar working on Computational Mathematics, Electronic, Optical and Magnetic Materials, Signal Processing, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Liquid Crystal Research Advancements (22 papers), Photonic and Optical Devices (15 papers), Photonic Crystals and Applications (15 papers), Photorefractive and Nonlinear Optics (11 papers), Speech and Audio Processing (10 papers), Speech Recognition and Synthesis (8 papers), Quantum Computing Algorithms and Architecture (6 papers) and Tensor decomposition and applications (5 papers). The work is most often cited by research in Computational Mathematics (30 citations), Electronic, Optical and Magnetic Materials (439 citations), Atomic and Molecular Physics, and Optics (536 citations), Signal Processing (146 citations) and Artificial Intelligence (337 citations). Jun Qi has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Gregory P. Crawford, Mousumi De Sarkar, Chao-Han Huck Yang, Michael J. Escuti, Pin‐Yu Chen, Javier Tejedor, Chin‐Hui Lee, Sabato Marco Siniscalchi, Xiaoli Ma and Yansong Zhu. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics, Optics Letters, IEEE/ACM Transactions on Audio Speech and Language Processing and Optics Express.
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.