Qingfang Meng
Impact in
- Toxicology top 5%
- Signal Processing top 10%
- Blind Source Separation Techniques
Papers in
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- Blind Source Separation Techniques 8
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- Machine Learning in Bioinformatics 7
- Co-authors
- Yuehui Chen (15 shared papers)Peng Wu (6 shared papers)Bin Yang (3 shared papers)Jing Xu (2 shared papers)Hussain Dawood (2 shared papers)Joseph Gabriele (2 shared papers)Jonathan Zuccolo (2 shared papers)David Baranowski (2 shared papers)
- Journals
- BMC Bioinformatics (3 papers)IEEE Access (3 papers)Journal of Chromatography B (2 papers)PLoS ONE (2 papers)Journal of Pharmaceutical and Biomedical Analysis (2 papers)
- Partner nations
- ChinaAustraliaSaudi Arabia
In The Last Decade
Qingfang Meng
46 papers receiving 751 citations
Peers
Comparison fields: 5 of 126
- Toxicology 38
- Signal Processing 99
- Cognitive Neuroscience 157
- Pharmacology 99
- Artificial Intelligence 142
Countries citing papers authored by Qingfang Meng
This map shows the geographic impact of Qingfang Meng'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 Qingfang Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingfang Meng more than expected).
Fields of papers citing papers by Qingfang Meng
This network shows the impact of papers produced by Qingfang Meng. 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 Qingfang Meng. The network helps show where Qingfang Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingfang Meng, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 87 | |
| 2 | 2019 | 80 | |
| 3 | 2017 | 52 | |
| 4 | 2011 | 50 | |
| 5 | 2013 | 46 | |
| 6 | 2010 | 38 | |
| 7 | 2019 | 35 | |
| 8 | 2019 | 34 | |
| 9 | 2013 | 32 | |
| 10 | 2016 | 32 | |
| 11 | 2007 | 32 | |
| 12 | 2018 | 30 | |
| 13 | 2009 | 20 | |
| 14 | 2010 | 19 | |
| 15 | 2020 | 18 | |
| 16 | 2018 | 17 | |
| 17 | 2012 | 16 | |
| 18 | 2007 | 15 | |
| 19 | 2020 | 15 | |
| 20 | 2007 | 14 |
About Qingfang Meng
Qingfang Meng is a scholar working on Signal Processing, Molecular Biology, Cognitive Neuroscience, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 47 papers that have together received 799 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Blind Source Separation Techniques (8 papers), Neural Networks and Applications (8 papers), Machine Learning in Bioinformatics (7 papers), Neural dynamics and brain function (5 papers), Traffic Prediction and Management Techniques (4 papers), Functional Brain Connectivity Studies (4 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Toxicology (38 citations), Signal Processing (99 citations), Cognitive Neuroscience (157 citations), Pharmacology (99 citations) and Artificial Intelligence (142 citations). Qingfang Meng has collaborated with scholars based in China, Australia and Saudi Arabia. Frequent co-authors include Yuehui Chen, Peng Wu, Bin Yang, Jing Xu, Hussain Dawood, Joseph Gabriele, Jonathan Zuccolo, David Baranowski, Weidong Zhou and Qi Yuan. Their work appears in journals such as BMC Bioinformatics, IEEE Access, Journal of Chromatography B, PLoS ONE and Journal of Pharmaceutical and Biomedical Analysis.
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.