Yichen Qian
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Generative Adversarial Networks and Image Synthesis
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- Biometric Identification and Security
Papers in ⓘ
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- Face and Expression Recognition 2
- Face recognition and analysis 2
- Advanced Image Processing Techniques 1
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- Biometric Identification and Security 1
- Co-authors
- Jiani Hu (2 shared papers)Weihong Deng (2 shared papers)Haibin Wang (1 shared paper)Xiuyu Sun (2 shared papers)Jingren Zhou (1 shared paper)Bolin Ding (1 shared paper)Yaliang Li (1 shared paper)Yuedong Xu (1 shared paper)
- Journals
- Frontiers in Environmental Science (1 paper)Scripta Materialia (1 paper)IEEE Network (1 paper)Proceedings of the VLDB Endowment (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yichen Qian
7 papers receiving 146 citations
Hit Papers
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 71
- Signal Processing 27
- Information Systems and Management 11
- Artificial Intelligence 45
- Computer Networks and Communications 26
Countries citing papers authored by Yichen Qian
This map shows the geographic impact of Yichen 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 Yichen Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yichen Qian more than expected).
Fields of papers citing papers by Yichen Qian
This network shows the impact of papers produced by Yichen 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 Yichen Qian. The network helps show where Yichen Qian may publish in the future.
Co-authors
The 17 scholars most cited alongside Yichen 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 | 2019 | 65 | |
| 2 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation Hit paper breakdown → | 2024 | 63 |
| 3 | 2021 | 11 | |
| 4 | 2022 | 5 | |
| 5 | 2018 | 4 | |
| 6 | 2025 | 2 | |
| 7 | 2022 | 1 |
About Yichen Qian
Yichen Qian is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, Artificial Intelligence and Geophysics, having authored 7 papers that have together received 151 indexed citations. Recurring topics across this work include Face and Expression Recognition (2 papers), Face recognition and analysis (2 papers), Semantic Web and Ontologies (1 paper), Natural Language Processing Techniques (1 paper), Environmental Impact and Sustainability (1 paper), Biometric Identification and Security (1 paper), Advanced Image Processing Techniques (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (71 citations), Signal Processing (27 citations), Information Systems and Management (11 citations), Artificial Intelligence (45 citations) and Computer Networks and Communications (26 citations). Yichen Qian has collaborated with scholars based in China and United States. Frequent co-authors include Jiani Hu, Weihong Deng, Haibin Wang, Xiuyu Sun, Jingren Zhou, Bolin Ding, Yaliang Li, Yuedong Xu, Jun Wu and Die Hu. Their work appears in journals such as Frontiers in Environmental Science, Scripta Materialia, IEEE Network, Proceedings of the VLDB Endowment and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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.