Huixia Wang

4.2k total citations
129 papers, 3.0k citations indexed

About

Huixia Wang is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Huixia Wang has authored 129 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Statistics and Probability, 31 papers in Molecular Biology and 20 papers in Artificial Intelligence. Recurrent topics in Huixia Wang's work include Statistical Methods and Inference (50 papers), Statistical Methods and Bayesian Inference (24 papers) and Advanced Statistical Methods and Models (15 papers). Huixia Wang is often cited by papers focused on Statistical Methods and Inference (50 papers), Statistical Methods and Bayesian Inference (24 papers) and Advanced Statistical Methods and Models (15 papers). Huixia Wang collaborates with scholars based in United States, China and Saudi Arabia. Huixia Wang's co-authors include Zhongyi Zhu, Howard D. Bondell, Brian J. Reich, Lan Wang, Xuming He, Jianhui Zhou, Deyuan Li, Yanlin Tang, Tao Gao and Tianjun Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Analytical Chemistry.

In The Last Decade

Huixia Wang

120 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huixia Wang United States 30 1.3k 509 391 263 231 129 3.0k
Manuel Febrero–Bande Spain 23 959 0.7× 140 0.3× 547 1.4× 171 0.7× 205 0.9× 66 2.6k
Konstantinos Fokianos Cyprus 28 1.5k 1.2× 311 0.6× 543 1.4× 508 1.9× 148 0.6× 84 3.1k
Xuming He United States 31 1.5k 1.2× 309 0.6× 378 1.0× 201 0.8× 55 0.2× 107 2.8k
Sujit K. Sahu United Kingdom 26 1.2k 1.0× 82 0.2× 784 2.0× 465 1.8× 256 1.1× 82 2.8k
Ricardo Cao Spain 29 897 0.7× 394 0.8× 429 1.1× 122 0.5× 64 0.3× 164 2.6k
Jason C. Hsu United States 29 1.4k 1.1× 538 1.1× 184 0.5× 242 0.9× 88 0.4× 113 3.9k
Han Liu China 23 869 0.7× 211 0.4× 508 1.3× 96 0.4× 516 2.2× 88 2.7k
Xuming He United States 30 1.9k 1.5× 96 0.2× 490 1.3× 282 1.1× 67 0.3× 88 3.2k
Christian Weiß Germany 35 1.7k 1.4× 172 0.3× 590 1.5× 370 1.4× 164 0.7× 234 4.6k

Countries citing papers authored by Huixia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Huixia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huixia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Huixia Wang. A scholar is included among the top collaborators of Huixia Wang 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 Huixia Wang. Huixia Wang 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.
Zhao, Wei, et al.. (2025). Clinical effects of PD-1 inhibitor camrelizumab in advanced, recurrent, or metastatic cervical cancer: A meta-analysis. Letters in Drug Design & Discovery. 22(10). 100188–100188.
2.
Jiao, Kun, Jianjun Cui, H. Jin, et al.. (2025). Performance and efficiency analysis of a new annular cooler for waste heat recovery in sintering process. Case Studies in Thermal Engineering. 70. 106172–106172.
3.
Jiang, Zeyi, Huixia Wang, Fuxin Zhang, et al.. (2025). Comprehensive energy efficiency analysis of solid granular material waste heat recovery process with countercurrent cascade of the translational cross-flow bed. Applied Thermal Engineering. 274. 126685–126685.
4.
Kim, Myungjin, Li Wang, & Huixia Wang. (2025). Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains. Journal of the American Statistical Association. 120(551). 1853–1867.
5.
6.
Zhang, Mingze, et al.. (2024). Copula-based Analysis for Count Time Series. Statistica Sinica.
7.
Zhou, Wenhui, Xingyue Yang, Huixia Wang, et al.. (2023). Neuronal aerobic glycolysis exacerbates synapse loss in aging mice. Experimental Neurology. 371. 114590–114590. 6 indexed citations
8.
Wei, Sisi, Suli Dai, Xiaoya Li, et al.. (2023). The NR_109/FUBP1/c-Myc axis regulates TAM polarization and remodels the tumor microenvironment to promote cancer development. Journal for ImmunoTherapy of Cancer. 11(5). e006230–e006230. 42 indexed citations
9.
Zhang, Cong, et al.. (2021). Angiogenesis-related lncRNAs predict the prognosis signature of stomach adenocarcinoma. BMC Cancer. 21(1). 1312–1312. 18 indexed citations
10.
Li, Peilin, Tian Tang, Yang Pu, et al.. (2019). Orthodontic Treatment Planning based on Artificial Neural Networks. Scientific Reports. 9(1). 2037–2037. 101 indexed citations
11.
Li, Pei, Yitao Han, Yong Li, et al.. (2016). Bioanalytical approaches for the detection of protein acetylation-related enzymes. Analytical and Bioanalytical Chemistry. 408(11). 2659–2668. 8 indexed citations
12.
Sun, Ying, Huixia Wang, & Montserrat Fuentes. (2015). Fused Adaptive Lasso for Spatial and Temporal Quantile Function Estimation. Technometrics. 58(1). 127–137. 20 indexed citations
13.
Wang, Huixia, et al.. (2014). A semiparametric Bayesian approach for joint-quantile regression with clustered data. Computational Statistics & Data Analysis. 84. 99–115. 8 indexed citations
14.
Zhang, Daowen, et al.. (2014). A fast EM algorithm for fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits. Computational Statistics & Data Analysis. 85. 37–53. 9 indexed citations
15.
Wang, Huixia, Jianhui Zhou, & Yi Li. (2013). Variable selection for censored quantile regression. Statistica Sinica. 23(1). 145–167. 35 indexed citations
16.
Tang, Yanlin, Xinyuan Song, Huixia Wang, & Zhongyi Zhu. (2013). Variable selection in high-dimensional quantile varying coefficient models. Journal of Multivariate Analysis. 122. 115–132. 21 indexed citations
17.
Wang, Huixia & Xingdong Feng. (2012). Multiple Imputation for M -Regression With Censored Covariates. Journal of the American Statistical Association. 107(497). 194–204. 28 indexed citations
18.
Wang, Huixia, Lukas Stefanski, & Zhongyi Zhu. (2012). Corrected-loss estimation for quantile regression with covariate measurement errors. Biometrika. 99(2). 405–421. 38 indexed citations
19.
Chen, Hongbo, Xiaomeng Shen, Caiping Guo, et al.. (2010). Phosphatase and Tensin Homolog Reconstruction and Vascular Endothelial Growth Factor Knockdown Synergistically Inhibit the Growth of Glioblastoma. Cancer Biotherapy and Radiopharmaceuticals. 25(6). 713–721. 6 indexed citations
20.
Bondell, Howard D., Brian J. Reich, & Huixia Wang. (2010). Noncrossing quantile regression curve estimation. Biometrika. 97(4). 825–838. 200 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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