Qinxue Meng

586 total citations · 1 hit paper
9 papers, 390 citations indexed

About

Qinxue Meng is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Qinxue Meng has authored 9 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistical and Nonlinear Physics, 5 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Qinxue Meng's work include Complex Network Analysis Techniques (6 papers), Recommender Systems and Techniques (2 papers) and Opinion Dynamics and Social Influence (2 papers). Qinxue Meng is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Recommender Systems and Techniques (2 papers) and Opinion Dynamics and Social Influence (2 papers). Qinxue Meng collaborates with scholars based in Australia, China and Canada. Qinxue Meng's co-authors include Paul Kennedy, Wei Liu, Shoujin Wang, Longbing Cao, Jia Wu, Xinxin Wang, Feng Xia, Nana Yaw Asabere, Fengqi Li and Haifeng Liu and has published in prestigious journals such as BMC Bioinformatics, Information Sciences and International Journal of Parallel Emergent and Distributed Systems.

In The Last Decade

Qinxue Meng

8 papers receiving 373 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Training deep neural networks on imbalanced data sets

2016 303 citations Shoujin Wang, Wei Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qinxue Meng Australia	5	226	60	48	44	32	9	390
Utkarsh Mahadeo Khaire India	7	251 1.1×	92 1.5×	37 0.8×	32 0.7×	38 1.2×	13	516
Stamatis Karlos Greece	10	265 1.2×	46 0.8×	49 1.0×	30 0.7×	28 0.9×	32	461
Cailing Dong United States	5	248 1.1×	37 0.6×	59 1.2×	58 1.3×	22 0.7×	9	401
Andrea Bommert Germany	4	251 1.1×	97 1.6×	51 1.1×	27 0.6×	31 1.0×	8	583
Xuewen Chen United States	8	357 1.6×	99 1.6×	65 1.4×	33 0.8×	29 0.9×	19	507
Mario Manzo Italy	9	302 1.3×	126 2.1×	59 1.2×	59 1.3×	39 1.2×	33	555
Mayank Jain India	9	181 0.8×	73 1.2×	35 0.7×	33 0.8×	19 0.6×	37	406
Jingjun Bi China	7	277 1.2×	82 1.4×	37 0.8×	71 1.6×	21 0.7×	12	365
Bryar A. Hassan Iraq	11	239 1.1×	78 1.3×	72 1.5×	53 1.2×	60 1.9×	30	472
Nailah Al–Madi Jordan	11	312 1.4×	80 1.3×	41 0.9×	69 1.6×	62 1.9×	26	548

Countries citing papers authored by Qinxue Meng

Since Specialization

Citations

This map shows the geographic impact of Qinxue 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 Qinxue Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qinxue Meng more than expected).

Fields of papers citing papers by Qinxue Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qinxue 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 Qinxue Meng. The network helps show where Qinxue Meng may publish in the future.

Co-authorship network of co-authors of Qinxue Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Qinxue Meng. A scholar is included among the top collaborators of Qinxue 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 Qinxue Meng. Qinxue Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Wang, Xinxin, et al.. (2020). L-SHADE-E: Ensemble of two differential evolution algorithms originating from L-SHADE. Information Sciences. 552. 201–219. 34 indexed citations

2.

Meng, Qinxue, Daniel Catchpoole, David B. Skillicorn, & Paul Kennedy. (2017). DBNorm: normalizing high-density oligonucleotide microarray data based on distributions. BMC Bioinformatics. 18(1). 527–527. 8 indexed citations

3.

Wang, Shoujin, Wei Liu, Jia Wu, et al.. (2016). Training deep neural networks on imbalanced data sets. 4368–4374. 303 indexed citations breakdown →

4.

Asabere, Nana Yaw, Feng Xia, Qinxue Meng, Fengqi Li, & Haifeng Liu. (2014). Scholarly paper recommendation based on social awareness and folksonomy. International Journal of Parallel Emergent and Distributed Systems. 30(3). 211–232. 21 indexed citations

5.

Meng, Qinxue, et al.. (2014). Community detection on heterogeneous networks by multiple semantic-path clustering. 6. 7–12. 2 indexed citations

6.

Meng, Qinxue & Paul Kennedy. (2013). Discovering influential authors in heterogeneous academic networks by a co-ranking method. 1029–1036. 15 indexed citations

7.

Meng, Qinxue & Paul Kennedy. (2012). Using network evolution theory and singular value decomposition method to improve accuracy of link prediction in social networks. UTS ePRESS (University of Technology Sydney). 175–181.

8.

Meng, Qinxue & Paul Kennedy. (2012). Using Field of Research Codes to Discover Research Groups from Co-authorship Networks. 289–293. 3 indexed citations

9.

Meng, Qinxue & Paul Kennedy. (2012). Determining the Number of Clusters in Co-authorship Networks Using Social Network Theory. 337–343. 4 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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