Jing Qian
- Artificial Intelligence top 5%
- Quantum Information and Cryptography 21
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- Cold Atom Physics and Bose-Einstein Condensates 37
- Quantum optics and atomic interactions 19
- Atomic and Subatomic Physics Research 7
- Quantum, superfluid, helium dynamics 6
- Strong Light-Matter Interactions 6
- Radiation top 10%
- Surfaces, Coatings and Films top 10%
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- Laser Material Processing Techniques 13
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- Network Security and Intrusion Detection 5
- Co-authors
- William Yang WangElizabeth BeldingMai ElSheriefVenkatesh SaligramaYinyin LiuLu ZhouGediminas JuzeliūnasHamid Reza Hamedi
- Journals
- SHILAP Revista de lepidopterología (3 papers)Scientific Reports (2 papers)Physical Review A (10 papers)
- Partner nations
- ChinaUnited StatesLithuania
In The Last Decade
Jing Qian
93 papers receiving 835 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 436
- Atomic and Molecular Physics, and Optics 351
- Radiation 91
- Surfaces, Coatings and Films 52
- Acoustics and Ultrasonics 6
Countries citing papers authored by Jing Qian
This map shows the geographic impact of Jing Qian'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 Jing Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Qian more than expected).
Fields of papers citing papers by Jing Qian
This network shows the impact of papers produced by Jing Qian. 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 Jing Qian. The network helps show where Jing Qian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jing Qian, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 38 | |
| 9 | 2021 | 2 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 2 | |
| 12 | A Survey on Natural Language Processing for Fake News Detection | 2018 | 5 |
| 13 | 2017 | 4 | |
| 14 | 2017 | 1 | |
| 15 | 2016 | 6 | |
| 16 | Learning Efficient Anomaly Detectors from K-NN Graphs | 2015 | 3 |
| 17 | 2015 | 0 | |
| 18 | Connected Sub-graph Detection | 2014 | 18 |
| 19 | 2012 | 3 | |
| 20 | Measuring Beam Intensities and Cross Sections using Rutherford Scattering Techniques | 2004 | 2 |
About Jing Qian
Jing Qian is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Radiation, having authored 98 papers that have together received 910 indexed citations. Recurring topics across this work include Cold Atom Physics and Bose-Einstein Condensates (37 papers), Quantum Information and Cryptography (21 papers), Quantum optics and atomic interactions (19 papers), Laser Material Processing Techniques (13 papers), Atomic and Subatomic Physics Research (7 papers), Quantum, superfluid, helium dynamics (6 papers), Strong Light-Matter Interactions (6 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Artificial Intelligence (436 citations), Atomic and Molecular Physics, and Optics (351 citations) and Radiation (91 citations). Jing Qian has collaborated with scholars based in China, United States and Lithuania. Frequent co-authors include William Yang Wang, Elizabeth Belding, Mai ElSherief, Venkatesh Saligrama, Yinyin Liu, Lu Zhou, Gediminas Juzeliūnas, Hamid Reza Hamedi, Chengwei Wang and Quanzhong Zhao. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports 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.