Yanxia Qin
Impact in
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- Advanced Sensor and Energy Harvesting Materials
- Graphene and Nanomaterials Applications
- Nanoplatforms for cancer theranostics
Papers in
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- Advanced Sensor and Energy Harvesting Materials 3
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- Natural Language Processing Techniques 4
- Topic Modeling 4
- Co-authors
- Juan Li (11 shared papers)Yanan Chang (10 shared papers)Gengmei Xing (10 shared papers)Kui Chen (10 shared papers)Weihong Gu (10 shared papers)Shibo Xia (9 shared papers)Xue Bai (7 shared papers)Runhong Lei (7 shared papers)
- Journals
- Nanoscale (3 papers)International Journal of Molecular Sciences (2 papers)Journal of Field Robotics (1 paper)International Journal of Machine Learning and Cybernetics (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yanxia Qin
29 papers receiving 632 citations
Peers
Comparison fields: 5 of 118
- Biomedical Engineering 225
- Biomaterials 52
- Developmental Neuroscience 15
- Materials Chemistry 157
- Bioengineering 18
Countries citing papers authored by Yanxia Qin
This map shows the geographic impact of Yanxia Qin'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 Yanxia Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanxia Qin more than expected).
Fields of papers citing papers by Yanxia Qin
This network shows the impact of papers produced by Yanxia Qin. 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 Yanxia Qin. The network helps show where Yanxia Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanxia Qin, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 109 | |
| 2 | 2022 | 72 | |
| 3 | 2023 | 48 | |
| 4 | 2018 | 47 | |
| 5 | 2016 | 45 | |
| 6 | 2019 | 43 | |
| 7 | 2020 | 38 | |
| 8 | 2016 | 36 | |
| 9 | 2018 | 23 | |
| 10 | 2018 | 22 | |
| 11 | 2018 | 18 | |
| 12 | 2017 | 18 | |
| 13 | Feature-Rich Segment-Based News Event Detection on Twitter | 2013 | 14 |
| 14 | 2018 | 14 | |
| 15 | 2016 | 13 | |
| 16 | 2018 | 13 | |
| 17 | 2024 | 12 | |
| 18 | 2018 | 11 | |
| 19 | 2019 | 8 | |
| 20 | 2011 | 8 |
About Yanxia Qin
Yanxia Qin is a scholar working on Biomedical Engineering, Artificial Intelligence, Molecular Biology, Materials Chemistry and Organic Chemistry, having authored 34 papers that have together received 638 indexed citations. Recurring topics across this work include Fullerene Chemistry and Applications (4 papers), Complex Network Analysis Techniques (4 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Web Data Mining and Analysis (3 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Biomedical Engineering (225 citations), Biomaterials (52 citations), Developmental Neuroscience (15 citations), Materials Chemistry (157 citations) and Bioengineering (18 citations). Yanxia Qin has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Juan Li, Yanan Chang, Gengmei Xing, Kui Chen, Weihong Gu, Shibo Xia, Xue Bai, Runhong Lei, Sihan Ma and Qiang Zhang. Their work appears in journals such as Nanoscale, International Journal of Molecular Sciences, Journal of Field Robotics, International Journal of Machine Learning and Cybernetics and Advanced Functional Materials.
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.