Weixiang Liu

474 total citations
20 papers, 305 citations indexed

About

Weixiang Liu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Weixiang Liu has authored 20 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Weixiang Liu's work include Gene expression and cancer classification (6 papers), Face and Expression Recognition (4 papers) and Machine Learning in Bioinformatics (3 papers). Weixiang Liu is often cited by papers focused on Gene expression and cancer classification (6 papers), Face and Expression Recognition (4 papers) and Machine Learning in Bioinformatics (3 papers). Weixiang Liu collaborates with scholars based in China, Taiwan and United States. Weixiang Liu's co-authors include Nanning Zheng, Xiaofeng Lu, Kehong Yuan, Datian Ye, Ching‐Hsue Cheng, Yali Jiang, Ziwen Peng, Qiong Wu, Jing Zhang and Bingsheng Huang and has published in prestigious journals such as Sustainability, Frontiers in Human Neuroscience and Frontiers in Genetics.

In The Last Decade

Weixiang Liu

18 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weixiang Liu China	9	106	71	61	39	25	20	305
Sicheng Wang China	10	78 0.7×	29 0.4×	141 2.3×	33 0.8×	17 0.7×	38	331
Roman Sandler United States	11	114 1.1×	15 0.2×	49 0.8×	29 0.7×	72 2.9×	18	297
Vincent Q. Vu United States	7	33 0.3×	27 0.4×	67 1.1×	60 1.5×	41 1.6×	13	268
Michael Droettboom United States	11	197 1.9×	27 0.4×	36 0.6×	168 4.3×	14 0.6×	21	329
Irina Fedulova Russia	9	48 0.5×	84 1.2×	119 2.0×	15 0.4×	98 3.9×	13	417
D. Easwaramoorthy India	9	45 0.4×	60 0.8×	51 0.8×	77 2.0×	78 3.1×	30	364
Roy R. Lederman United States	9	31 0.3×	49 0.7×	53 0.9×	27 0.7×	15 0.6×	24	216
Andreas Engel Germany	5	53 0.5×	30 0.4×	167 2.7×	38 1.0×	73 2.9×	7	350
Will Wei Sun United States	11	39 0.4×	30 0.4×	95 1.6×	20 0.5×	31 1.2×	23	292
Diwei Zhou United Kingdom	6	66 0.6×	16 0.2×	63 1.0×	21 0.5×	27 1.1×	24	315

Countries citing papers authored by Weixiang Liu

Since Specialization

Citations

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

Fields of papers citing papers by Weixiang Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixiang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Weixiang Liu. A scholar is included among the top collaborators of Weixiang Liu 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 Weixiang Liu. Weixiang Liu 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:

20 of 20 papers shown

Luo, Qian, et al.. (2021). Classification of Obsessive-Compulsive Disorder Using Distance Correlation on Resting-State Functional MRI Images. Frontiers in Neuroinformatics. 15. 676491–676491. 8 indexed citations

Cheng, Ching‐Hsue, et al.. (2019). Exploring the Related Factors in Students’ Academic Achievement for the Sustainable Education of Rural Areas. Sustainability. 11(21). 5974–5974. 11 indexed citations

Wu, Zhenfeng, Weixiang Liu, Hua Wang, et al.. (2019). NormExpression: An R Package to Normalize Gene Expression Data Using Evaluated Methods. Frontiers in Genetics. 10. 400–400. 11 indexed citations

Zhang, Jianing, Weixiang Liu, Jing Zhang, et al.. (2018). Distinguishing Adolescents With Conduct Disorder From Typically Developing Youngsters Based on Pattern Classification of Brain Structural MRI. Frontiers in Human Neuroscience. 12. 152–152. 22 indexed citations

Cheng, Ching‐Hsue & Weixiang Liu. (2018). Identifying Degenerative Brain Disease Using Rough Set Classifier Based on Wavelet Packet Method. Journal of Clinical Medicine. 7(6). 124–124. 15 indexed citations

Liu, Weixiang, et al.. (2017). The Role of English Language and Literature in Cultivating Students' Language Skills. 3 indexed citations

Cheng, Ching‐Hsue & Weixiang Liu. (2017). An Appraisal Model Based on a Synthetic Feature Selection Approach for Students’ Academic Achievement. Symmetry. 9(11). 282–282. 5 indexed citations

Liu, Weixiang & Ching‐Hsue Cheng. (2016). A hybrid method based on MLFS approach to analyze students' academic achievement. 1625–1630. 1 indexed citations

Liu, Weixiang. (2010). Review on the Study of College Students' Academic Performance Assessment.

10.

Liu, Weixiang, Kehong Yuan, Jian Wu, et al.. (2008). COMBINING GENERALIZED NMF AND DISCRIMINATIVE MIXTURE MODELS FOR CLASSIFICATION OF GENE EXPRESSION DATA. International Journal of Pattern Recognition and Artificial Intelligence. 22(8). 1587–1598. 3 indexed citations

11.

Liu, Weixiang & Kehong Yuan. (2008). Sparse p-norm Nonnegative Matrix Factorization for clustering gene expression data. International Journal of Data Mining and Bioinformatics. 2(3). 236–236. 5 indexed citations

12.

Liu, Weixiang, Kehong Yuan, & Datian Ye. (2008). On -divergence based nonnegative matrix factorization for clustering cancer gene expression data. Artificial Intelligence in Medicine. 44(1). 1–5. 13 indexed citations

13.

Liu, Weixiang, Tianfu Wang, Siping Chen, & Aifa Tang. (2008). Feature Extraction and Discovery of microRNAs Using Nonnegative Matrix Factorization. 1 indexed citations

14.

Yuan, Kehong, et al.. (2008). Brain CT Image Feature Extraction Using Nonnegative Tensor Factorization.. 85–91.

15.

Liu, Weixiang. (2007). Comparative Study on Immunization Coverage Rates of Nine Vaccines Between Local and Floating Children. Zhongguo jihua mianyi. 11 indexed citations

16.

Liu, Weixiang, Kehong Yuan, & Datian Ye. (2007). Reducing microarray data via nonnegative matrix factorization for visualization and clustering analysis. Journal of Biomedical Informatics. 41(4). 602–606. 39 indexed citations

17.

Liu, Weixiang, Kehong Yuan, & Zhenhua Xie. (2007). Sparse Nonnegative Matrix Factorization for Classification of Gene Expression Data. 286. 180–183. 2 indexed citations

18.

Liu, Weixiang, et al.. (2006). Nonnegative matrix factorization and its applications in pattern recognition. Chinese Science Bulletin. 51(1). 7–18. 78 indexed citations

19.

Liu, Weixiang, et al.. (2005). Mathematical simulation of major cultiviation factors for high yield of fodder beet by quadratic orthoganol regression design. Ganhan diqu nongye yanjiu. 23(4). 143–146. 1 indexed citations

20.

Liu, Weixiang, Nanning Zheng, & Xiaofeng Lu. (2003). Non-negative matrix factorization for visual coding. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 3. III–293. 76 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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