Sanguo Zhang

1.0k total citations
67 papers, 722 citations indexed

About

Sanguo Zhang is a scholar working on Molecular Biology, Statistics and Probability and Genetics. According to data from OpenAlex, Sanguo Zhang has authored 67 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 24 papers in Statistics and Probability and 16 papers in Genetics. Recurrent topics in Sanguo Zhang's work include Gene expression and cancer classification (20 papers), Statistical Methods and Inference (17 papers) and Genetic Associations and Epidemiology (10 papers). Sanguo Zhang is often cited by papers focused on Gene expression and cancer classification (20 papers), Statistical Methods and Inference (17 papers) and Genetic Associations and Epidemiology (10 papers). Sanguo Zhang collaborates with scholars based in China, United States and Canada. Sanguo Zhang's co-authors include Yishi Shi, Tuo Li, Qiankun Gao, Yali Wang, Sunil K. Halder, Bixiang Zhang, Pran K. Datta, Shuangge Ma, Qingzhao Zhang and Jian Huang and has published in prestigious journals such as Neuron, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Sanguo Zhang

60 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanguo Zhang China 12 197 182 101 88 80 67 722
Hwee Kuan Lee Singapore 21 302 1.5× 135 0.7× 106 1.0× 227 2.6× 71 0.9× 76 1.3k
Anwei Chai United States 5 957 4.9× 120 0.7× 30 0.3× 22 0.3× 69 0.9× 7 1.4k
Alexey Koloydenko United Kingdom 10 178 0.9× 104 0.6× 11 0.1× 138 1.6× 46 0.6× 27 857
Antonio Brú Spain 13 249 1.3× 26 0.1× 30 0.3× 56 0.6× 138 1.7× 27 902
Zachary T. Harmany United States 12 65 0.3× 224 1.2× 43 0.4× 57 0.6× 12 0.1× 29 785
Dennis Trede Germany 17 512 2.6× 65 0.4× 92 0.9× 12 0.1× 17 0.2× 34 923
Yuchen Zhang China 15 137 0.7× 392 2.2× 48 0.5× 119 1.4× 51 0.6× 42 1.0k
Ja‐Yong Koo South Korea 17 105 0.5× 177 1.0× 94 0.9× 176 2.0× 8 0.1× 94 1.0k
Xing Xing China 15 88 0.4× 80 0.4× 21 0.2× 117 1.3× 55 0.7× 131 1.1k
Caroline Uhler United States 21 673 3.4× 49 0.3× 33 0.3× 435 4.9× 66 0.8× 63 1.6k

Countries citing papers authored by Sanguo Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Sanguo Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanguo Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Sanguo Zhang. A scholar is included among the top collaborators of Sanguo Zhang 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 Sanguo Zhang. Sanguo Zhang 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.
Chen, Hui, Li‐Yong Shen, Chunmei Wang, Lei Tian, & Sanguo Zhang. (2025). Multi Actors-Critic based particle swarm optimization algorithm. Neurocomputing. 624. 129460–129460.
2.
Zhang, Sanguo, et al.. (2024). Subclass consistency regularization for learning with noisy labels based on contrastive learning. Neurocomputing. 614. 128759–128759. 1 indexed citations
3.
Zhang, Sanguo, et al.. (2023). A Web Semantic-Based Text Analysis Approach for Enhancing Named Entity Recognition Using PU-Learning and Negative Sampling. International Journal on Semantic Web and Information Systems. 20(1). 1–23. 1 indexed citations
4.
Lu, Shuhan, et al.. (2023). The cluster D-trace loss for differential network analysis. Journal of Applied Statistics. 51(10). 1843–1860.
5.
Li, Xuanyu, et al.. (2023). Gene expression prediction based on neighbour connection neural network utilizing gene interaction graphs. PLoS ONE. 18(2). e0281286–e0281286. 5 indexed citations
6.
Liu, Yan, Sanguo Zhang, Shuangge Ma, & Qingzhao Zhang. (2020). Tests for regression coefficients in high dimensional partially linear models. Statistics & Probability Letters. 163. 108772–108772. 8 indexed citations
7.
Li, Shi‐Ming, Mingyang Ren, Sanguo Zhang, et al.. (2019). Effectiveness of myopia prediction model in screening children and teenager myopia. Zhonghua shiyan yanke zazhi. 37(4). 269–273. 2 indexed citations
8.
Zhang, Sanguo, et al.. (2019). Identification of gene–environment interactions with marginal penalization. Genetic Epidemiology. 44(2). 159–196. 7 indexed citations
9.
Fu, Sheng, Sanguo Zhang, & Yufeng Liu. (2018). Adaptively weighted large-margin angle-based classifiers. Journal of Multivariate Analysis. 166. 282–299. 6 indexed citations
10.
Hu, Xiao, Guo Chen, Sanguo Zhang, et al.. (2017). Persistent Expression of VCAM1 in Radial Glial Cells Is Required for the Embryonic Origin of Postnatal Neural Stem Cells. Neuron. 95(2). 309–325.e6. 48 indexed citations
11.
Hu, Xiaonan, et al.. (2016). Group-combinedP-values with applications to genetic association studies. Bioinformatics. 32(18). 2737–2743. 9 indexed citations
12.
Shi, Yishi, et al.. (2013). Research on the key parameters of illuminating beam for imaging via ptychography in visible light band. Acta Physica Sinica. 62(6). 64206–64206. 12 indexed citations
13.
Shi, Yishi, et al.. (2013). Optical image encryption via ptychography. Optics Letters. 38(9). 1425–1425. 184 indexed citations
14.
Zhang, Sanguo, Yuan Liao, & Wei Ning. (2011). Asymptotic Properties of Quasi-Maximum Likelihood Estimates in Generalized Linear Models. Communication in Statistics- Theory and Methods. 40(24). 4417–4430. 4 indexed citations
15.
Zhang, Bixiang, Sunil K. Halder, Sanguo Zhang, & Pran K. Datta. (2009). Targeting transforming growth factor-β signaling in liver metastasis of colon cancer. Cancer Letters. 277(1). 114–120. 116 indexed citations
16.
Ning, Wei, Arjun K. Gupta, Chang Yu, & Sanguo Zhang. (2009). A Moment-Based Test for Homogeneity in Finite Mixture Models. Communication in Statistics- Theory and Methods. 38(9). 1371–1382. 1 indexed citations
17.
Jia, Yujiang, Jiangping Sun, Fan Lü, et al.. (2008). Estimates of HIV prevalence in a highly endemic area of China: Dehong Prefecture, Yunnan Province. International Journal of Epidemiology. 37(6). 1287–1296. 55 indexed citations
18.
Zhang, Sanguo & Xiru Chen. (2002). Asymptotic normality of parameters estimation in ev model with replicated observations. Acta Mathematica Scientia. 22(1). 107–114. 1 indexed citations
19.
Zhang, Sanguo & Xiru Chen. (2002). Estimation in the polynomial errors-in-variables model. Science China Mathematics. 45(1). 1–8. 1 indexed citations
20.
Zhang, Sanguo & Xiru Chen. (2002). ON ASYMPTOTIC NORMALITY OF PARAMETERS IN LINEAR EV MODEL. Chinese Annals of Mathematics Series B. 23(4). 495–506. 5 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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