Qingfang Meng

1.2k total citations
47 papers, 787 citations indexed

About

Qingfang Meng is a scholar working on Molecular Biology, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Qingfang Meng has authored 47 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Signal Processing and 12 papers in Artificial Intelligence. Recurrent topics in Qingfang Meng's work include EEG and Brain-Computer Interfaces (9 papers), Machine Learning in Bioinformatics (8 papers) and Blind Source Separation Techniques (8 papers). Qingfang Meng is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Machine Learning in Bioinformatics (8 papers) and Blind Source Separation Techniques (8 papers). Qingfang Meng collaborates with scholars based in China, Australia and United States. Qingfang Meng's co-authors include Yuehui Chen, Peng Wu, Bin Yang, Hussain Dawood, Jing Xu, David Baranowski, Jonathan Zuccolo, Joseph Gabriele, Weidong Zhou and Qi Yuan and has published in prestigious journals such as PLoS ONE, IEEE Access and BMC Bioinformatics.

In The Last Decade

Qingfang Meng

46 papers receiving 738 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qingfang Meng China 17 229 159 150 105 96 47 787
Tulika Chakrabarti India 18 89 0.4× 26 0.2× 261 1.7× 47 0.4× 23 0.2× 44 985
Minjia Zhang United States 28 751 3.3× 49 0.3× 270 1.8× 70 0.7× 31 0.3× 98 2.1k
Daichi Shigemizu Japan 23 879 3.8× 29 0.2× 135 0.9× 25 0.2× 46 0.5× 52 1.5k
Jian Jin China 19 363 1.6× 47 0.3× 37 0.2× 266 2.5× 33 0.3× 124 1.3k
Justin Bedő Australia 14 384 1.7× 25 0.2× 457 3.0× 42 0.4× 117 1.2× 29 1.5k
Mingwei Yu China 16 291 1.3× 12 0.1× 49 0.3× 29 0.3× 86 0.9× 45 761
Stefan Krämer Germany 21 292 1.3× 20 0.1× 528 3.5× 122 1.2× 37 0.4× 84 1.4k
Daqi Gao China 19 230 1.0× 102 0.6× 623 4.2× 97 0.9× 54 0.6× 97 1.3k

Countries citing papers authored by Qingfang Meng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Qingfang Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Qingfang Meng. A scholar is included among the top collaborators of Qingfang Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qingfang Meng. Qingfang Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Meng, Qingfang, et al.. (2023). Prediction of Membrane Protein Amphiphilic Helix Based on Horizontal Visibility Graph and Graph Convolution Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(6). 3567–3574. 1 indexed citations
2.
Meng, Qingfang, et al.. (2021). A Cascade Flexible Neural Forest Model for Cancer Subtypes Classification on Gene Expression Data. Computational Intelligence and Neuroscience. 2021(1). 6480456–6480456. 4 indexed citations
3.
Meng, Qingfang, et al.. (2021). A laminar augmented cascading flexible neural forest model for classification of cancer subtypes based on gene expression data. BMC Bioinformatics. 22(1). 475–475. 6 indexed citations
4.
Xu, Jing, Peng Wu, Yuehui Chen, Qingfang Meng, & Hussain Dawood. (2019). A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data. BMC Bioinformatics. 20(1). 527–527. 80 indexed citations
5.
Meng, Qingfang, et al.. (2018). A reliable and validated LC-MS/MS method for the simultaneous quantification of 4 cannabinoids in 40 consumer products. PLoS ONE. 13(5). e0196396–e0196396. 81 indexed citations
6.
Meng, Qingfang, et al.. (2018). Comparative pharmacokinetics and safety assessment of transdermal berberine and dihydroberberine. PLoS ONE. 13(3). e0194979–e0194979. 30 indexed citations
7.
Su, Xiaoqing, et al.. (2017). Alteration of oxidative stress and inflammatory cytokines induces apoptosis in diabetic nephropathy. Molecular Medicine Reports. 16(5). 7715–7723. 52 indexed citations
8.
Meng, Qingfang, Zheng Zhang, Yanjun Wang, et al.. (2016). Astilbin ameliorates experimental autoimmune myasthenia gravis by decreased Th17 cytokines and up-regulated T regulatory cells. Journal of Neuroimmunology. 298. 138–145. 30 indexed citations
9.
Chen, Wei, Qingfang Meng, Junkang Sui, et al.. (2016). Ginsenoside Rb1: The new treatment measure of myasthenia gravis. International Immunopharmacology. 41. 136–143. 7 indexed citations
10.
Meng, Qingfang, Shanshan Chen, Yuehui Chen, & Zhiquan Feng. (2014). Automatic detection of epileptic EEG based on recurrence quantification analysis and SVM. Acta Physica Sinica. 63(5). 50506–50506. 6 indexed citations
11.
Meng, Qingfang, et al.. (2014). Pharmacokinetics of Sifuvirtide in Treatment-Naive and Treatment-Experienced HIV-Infected Patients. Journal of Pharmaceutical Sciences. 103(12). 4038–4047. 9 indexed citations
12.
Meng, Qingfang, Yuehui Chen, Zhiquan Feng, Fenglin Wang, & Shanshan Chen. (2013). Nonlinear prediction of small scale network traffic based on local relevance vector machine regression model. Acta Physica Sinica. 62(15). 150509–150509. 4 indexed citations
13.
Wang, Yu, Weidong Zhou, Qi Yuan, et al.. (2013). COMPARISON OF ICTAL AND INTERICTAL EEG SIGNALS USING FRACTAL FEATURES. International Journal of Neural Systems. 23(6). 1350028–1350028. 46 indexed citations
14.
Yuan, Shasha, Weidong Zhou, Qi Yuan, Yanli Zhang, & Qingfang Meng. (2013). Automatic seizure detection using diffusion distance and BLDA in intracranial EEG. Epilepsy & Behavior. 31. 339–345. 31 indexed citations
15.
Meng, Qingfang, et al.. (2011). An LC–MS/MS assay to determine plasma pharmacokinetics of cyclic thymic hexapeptide (cTP6) in rhesus monkeys. Journal of Chromatography B. 879(27). 2902–2908. 4 indexed citations
16.
Meng, Qingfang, et al.. (2010). Feature analysis of epileptic EEG using nonlinear prediction method. PubMed. 2010. 3998–4001. 3 indexed citations
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19.
Wu, Peng, Yuehui Chen, Qingfang Meng, & Zhen Liu. (2009). Small-Time Scale Network Traffic Prediction Using Complex Network Models. 286. 303–307. 3 indexed citations
20.
Meng, Qingfang, et al.. (2008). The neighbor point selection method for local prediction based on information criterion. Acta Physica Sinica. 57(3). 1423–1423. 7 indexed citations

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.

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