Qinbao Song

2.3k total citations · 2 hit papers
53 papers, 1.7k citations indexed

About

Qinbao Song is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qinbao Song has authored 53 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 20 papers in Information Systems and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qinbao Song's work include Data Mining Algorithms and Applications (9 papers), Face and Expression Recognition (9 papers) and Machine Learning and Data Classification (9 papers). Qinbao Song is often cited by papers focused on Data Mining Algorithms and Applications (9 papers), Face and Expression Recognition (9 papers) and Machine Learning and Data Classification (9 papers). Qinbao Song collaborates with scholars based in China, United States and United Kingdom. Qinbao Song's co-authors include Guangtao Wang, Jingjie Ni, Heli Sun, Guangtao Wang, Xiaoyan Zhu, Baowen Xu, Yuming Zhou, Zhongbin Sun, Jianbin Huang and Martin Shepperd and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Pattern Recognition.

In The Last Decade

Qinbao Song

50 papers receiving 1.6k citations

Hit Papers

A Fast Clustering-Based Feature Subset Selection Algorith... 2011 2026 2016 2021 2011 2014 100 200 300 400
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.

  1. A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data
    2011 480 citations Qinbao Song, Guangtao Wang et al. profile →
  2. A novel ensemble method for classifying imbalanced data
    2014 322 citations Zhongbin Sun, Qinbao Song et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qinbao Song China 20 1.1k 403 320 270 196 53 1.7k
Jinyin Chen China 21 919 0.8× 185 0.5× 233 0.7× 332 1.2× 295 1.5× 129 1.5k
Alexander L. Strehl United States 20 1.3k 1.2× 318 0.8× 262 0.8× 175 0.6× 179 0.9× 28 1.8k
Mohammad Reza Keyvanpour Iran 19 651 0.6× 442 1.1× 347 1.1× 117 0.4× 164 0.8× 196 1.5k
Jin Huang China 21 1.2k 1.1× 720 1.8× 660 2.1× 168 0.6× 180 0.9× 90 2.3k
Wu Xiaoyun United States 12 889 0.8× 393 1.0× 234 0.7× 166 0.6× 58 0.3× 18 1.4k
Zhaohui Zheng United States 22 1.3k 1.2× 463 1.1× 1.2k 3.6× 237 0.9× 275 1.4× 55 2.4k
Zhifeng Hao China 24 913 0.8× 388 1.0× 133 0.4× 75 0.3× 218 1.1× 160 1.9k
Lin Mei China 24 592 0.5× 642 1.6× 249 0.8× 166 0.6× 197 1.0× 70 1.7k
Kenji Yamanishi Japan 24 1.8k 1.7× 213 0.5× 460 1.4× 222 0.8× 533 2.7× 128 2.6k
Liang Bai China 22 1.1k 1.0× 477 1.2× 283 0.9× 209 0.8× 88 0.4× 100 1.6k

Countries citing papers authored by Qinbao Song

Since Specialization
Citations

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

Fields of papers citing papers by Qinbao Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinbao Song

This figure shows the co-authorship network connecting the top 25 collaborators of Qinbao Song. A scholar is included among the top collaborators of Qinbao Song 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 Qinbao Song. Qinbao Song 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.
Yu, Tao, Jianhua Zou, & Qinbao Song. (2017). 3D Reconstruction from a Single Still Image Based on Monocular Vision of an Uncalibrated Camera. SHILAP Revista de lepidopterología. 12. 1018–1018. 3 indexed citations
2.
Zhang, Xueying & Qinbao Song. (2015). A Multi-Label Learning Based Kernel Automatic Recommendation Method for Support Vector Machine. PLoS ONE. 10(4). e0120455–e0120455. 20 indexed citations
3.
Sun, Heli, Jianbin Huang, Guangtao Wang, et al.. (2015). CenLP: A centrality-based label propagation algorithm for community detection in networks. Physica A Statistical Mechanics and its Applications. 436. 767–780. 24 indexed citations
4.
Sun, Heli, Jianbin Huang, Xin Zhang, et al.. (2014). IncOrder: Incremental density-based community detection in dynamic networks. Knowledge-Based Systems. 72. 1–12. 28 indexed citations
5.
Sun, Zhongbin, Qinbao Song, Xiaoyan Zhu, et al.. (2014). A novel ensemble method for classifying imbalanced data. Pattern Recognition. 48(5). 1623–1637. 322 indexed citations breakdown →
6.
Zhang, Xueying, Qinbao Song, Guangtao Wang, et al.. (2014). A dissimilarity-based imbalance data classification algorithm. Applied Intelligence. 42(3). 544–565. 33 indexed citations
7.
Wang, Guangtao, Qinbao Song, Xueying Zhang, & Kaiyuan Zhang. (2014). A Generic Multilabel Learning-Based Classification Algorithm Recommendation Method. ACM Transactions on Knowledge Discovery from Data. 9(1). 1–30. 20 indexed citations
8.
Sun, Heli, Jianbin Huang, Xiang Zhong, et al.. (2014). Label Propagation withα-Degree Neighborhood Impact for Network Community Detection. Computational Intelligence and Neuroscience. 2014. 1–9. 6 indexed citations
9.
10.
Du, Lei & Qinbao Song. (2012). A Simple Classifier Based on a Single Attribute. 660–665. 3 indexed citations
11.
Wang, Guangtao, Qinbao Song, Baowen Xu, & Yuming Zhou. (2012). Selecting feature subset for high dimensional data via the propositional FOIL rules. Pattern Recognition. 46(1). 199–214. 39 indexed citations
12.
Huang, Jianbin, Heli Sun, Yaguang Liu, Qinbao Song, & Tim Weninger. (2011). Towards Online Multiresolution Community Detection in Large-Scale Networks. PLoS ONE. 6(8). e23829–e23829. 82 indexed citations
13.
Zhu, Lei & Qinbao Song. (2011). A Study of Laplacian Spectra of Graph for Subgraph Queries. 1272–1277. 3 indexed citations
14.
Song, Qinbao. (2009). Survey of Frequent Subgraph Mining Research. Microelectronics & Computer. 1 indexed citations
15.
Zhu, Xiaoyan, Qinbao Song, & Zhijuan Jia. (2009). A Weighted Voting-Based Associative Classification Algorithm. The Computer Journal. 53(6). 786–801. 7 indexed citations
16.
Wang, Yong, Qinbao Song, & Junyi Shen. (2007). Grey prediction based software stage-effort estimation. Wuhan University Journal of Natural Sciences. 12(5). 927–931. 5 indexed citations
17.
Wu, Jian, Qinbao Song, & Junyi Shen. (2007). An Novel Association Rule Mining Based Missing Nominal Data Imputation Method. 244–249. 6 indexed citations
18.
Song, Qinbao & Martin Shepperd. (2006). Mining web browsing patterns for E-commerce. Computers in Industry. 57(7). 622–630. 44 indexed citations
19.
Yuan, Ye, et al.. (2003). Automatic video classification using decision tree method. 3. 1153–1157. 17 indexed citations
20.
Yang, Xiangrong, et al.. (2002). Implementation of sequence patterns mining in network intrusion detection system. 5. 19–23. 6 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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