Mingzhou Song

2.4k total citations
66 papers, 1.4k citations indexed

About

Mingzhou Song is a scholar working on Molecular Biology, Plant Science and Artificial Intelligence. According to data from OpenAlex, Mingzhou Song has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 16 papers in Plant Science and 10 papers in Artificial Intelligence. Recurrent topics in Mingzhou Song's work include Gene Regulatory Network Analysis (15 papers), Gene expression and cancer classification (11 papers) and Bioinformatics and Genomic Networks (11 papers). Mingzhou Song is often cited by papers focused on Gene Regulatory Network Analysis (15 papers), Gene expression and cancer classification (11 papers) and Bioinformatics and Genomic Networks (11 papers). Mingzhou Song collaborates with scholars based in United States, China and Canada. Mingzhou Song's co-authors include Haizhou Wang, Jinfa Zhang, Joseph Said, Zhongxu Lin, Xianlong Zhang, Hongbin Wang, Z. Lewis Liu, Menggen Ma, Stéphane Boissinot and Hua Zhong and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Mingzhou Song

63 papers receiving 1.4k citations

Peers

Mingzhou Song
Mingzhou Song
Citations per year, relative to Mingzhou Song Mingzhou Song (= 1×) peers Yuanning Liu

Countries citing papers authored by Mingzhou Song

Since Specialization
Citations

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

Fields of papers citing papers by Mingzhou Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingzhou Song

This figure shows the co-authorship network connecting the top 25 collaborators of Mingzhou Song. A scholar is included among the top collaborators of Mingzhou 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 Mingzhou Song. Mingzhou 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.
Li, Yiyi & Mingzhou Song. (2025). Exact model-free function inference using uniform marginal counts for null population. Bioinformatics. 41(4). 2 indexed citations
2.
Sreedasyam, Avinash, Peter Cooke, Jane Grimwood, et al.. (2023). Comparative transcriptome analyses reveal insights into catkin bloom patterns in pecan protogynous and protandrous cultivars. PLoS ONE. 18(2). e0281805–e0281805. 4 indexed citations
3.
Cai, Andrew, et al.. (2023). Circular Silhouette and a Fast Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 1–8.
4.
Song, Mingzhou, et al.. (2022). Statistical evidence for the presence of trajectory in single-cell data. BMC Bioinformatics. 23(S8). 340–340. 1 indexed citations
5.
Wang, Lei, Wuxiyar Otkur, Aman Wang, et al.. (2022). Norcantharidin overcomes vemurafenib resistance in melanoma by inhibiting pentose phosphate pathway and lipogenesis via downregulating the mTOR pathway. Frontiers in Pharmacology. 13. 906043–906043. 7 indexed citations
6.
Sharma, Ruby, et al.. (2022). Detecting genetic epistasis by differential departure from independence. Molecular Genetics and Genomics. 297(4). 911–924. 1 indexed citations
7.
Song, Mingzhou, et al.. (2021). Fast Optimal Circular Clustering and Applications on Round Genomes. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(6). 2061–2071. 6 indexed citations
8.
Abdelraheem, Abdelraheem, et al.. (2017). A meta-analysis of quantitative trait loci for abiotic and biotic stress resistance in tetraploid cotton. Molecular Genetics and Genomics. 292(6). 1221–1235. 46 indexed citations
9.
Wang, Junjie, Yan Zhao, I. M. Ray, & Mingzhou Song. (2016). Transcriptome responses in alfalfa associated with tolerance to intensive animal grazing. Scientific Reports. 6(1). 19438–19438. 18 indexed citations
10.
Nguyen, Hien, et al.. (2015). Discerning mechanistically rewired biological pathways by cumulative interaction heterogeneity statistics. Scientific Reports. 5(1). 9634–9634. 4 indexed citations
11.
Zhang, Yang, Z. Lewis Liu, & Mingzhou Song. (2015). ChiNet uncovers rewired transcription subnetworks in tolerant yeast for advanced biofuels conversion. Nucleic Acids Research. 43(9). 4393–4407. 19 indexed citations
12.
Ha, Thomas J, Douglas J. Swanson, Matt Larouche, et al.. (2014). CbGRiTS: Cerebellar gene regulation in time and space. Developmental Biology. 397(1). 18–30. 20 indexed citations
13.
Said, Joseph, Mingzhou Song, Hantao Wang, et al.. (2014). A comparative meta-analysis of QTL between intraspecific Gossypium hirsutum and interspecific G. hirsutum × G. barbadense populations. Molecular Genetics and Genomics. 290(3). 1003–1025. 149 indexed citations
14.
Song, Mingzhou, Robert M. Haralick, & Stéphane Boissinot. (2010). Efficient and exact maximum likelihood quantisation of genomic features using dynamic programming. International Journal of Data Mining and Bioinformatics. 4(2). 123–123. 3 indexed citations
16.
Song, Mingzhou, Robert M. Haralick, & Stéphane Boissinot. (2007). Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming. 547–553. 2 indexed citations
17.
Song, Mingzhou & Hongbin Wang. (2006). Detecting Low Complexity Clusters by Skewness and Kurtosis in Data Stream Clustering.. 2 indexed citations
18.
Song, Mingzhou & Stéphane Boissinot. (2006). Selection against LINE-1 retrotransposons results principally from their ability to mediate ectopic recombination. Gene. 390(1-2). 206–213. 60 indexed citations
19.
Song, Mingzhou & Robert M. Haralick. (2002). Optimally Quantized and Smoothed Histograms.. 894–897. 3 indexed citations
20.
Song, Mingzhou, et al.. (2002). Integrated surface model optimization for freehand three-dimensional echocardiography. IEEE Transactions on Medical Imaging. 21(9). 1077–1090. 13 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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