Jianchang Hu

862 total citations · 1 hit paper
13 papers, 452 citations indexed

About

Jianchang Hu is a scholar working on Molecular Biology, Genetics and Statistics and Probability. According to data from OpenAlex, Jianchang Hu has authored 13 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Statistics and Probability. Recurrent topics in Jianchang Hu's work include Genetic Associations and Epidemiology (3 papers), Statistical Methods and Inference (3 papers) and Bioinformatics and Genomic Networks (3 papers). Jianchang Hu is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Statistical Methods and Inference (3 papers) and Bioinformatics and Genomic Networks (3 papers). Jianchang Hu collaborates with scholars based in United States, Germany and Hong Kong. Jianchang Hu's co-authors include Silke Szymczak, Heping Zhang, Ting Li, Li Cai, Tommaso Cai, Yingying Li, Xinghua Zheng, Jianhua Guo, Bing‐Yi Jing and Jon Otto Fossum and has published in prestigious journals such as Journal of the American Statistical Association, Physical review. B, Condensed matter and Journal of Econometrics.

In The Last Decade

Jianchang Hu

13 papers receiving 445 citations

Hit Papers

A review on longitudinal data analysis with random forest 2023 2026 2024 2025 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianchang Hu United States 7 75 66 42 42 33 13 452
Chia‐Te Liao Taiwan 13 44 0.6× 80 1.2× 30 0.7× 14 0.3× 56 1.7× 78 644
Min‐Huei Hsu Taiwan 13 69 0.9× 19 0.3× 96 2.3× 92 2.2× 22 0.7× 41 613
Jurjen Duintjer Tebbens Czechia 14 42 0.6× 35 0.5× 54 1.3× 10 0.2× 14 0.4× 39 473
Caojin Zhang China 11 25 0.3× 21 0.3× 75 1.8× 63 1.5× 118 3.6× 49 573
Gengsheng Qin United States 16 51 0.7× 17 0.3× 44 1.0× 105 2.5× 22 0.7× 59 760
Md Rezaul Karim Bangladesh 15 134 1.8× 46 0.7× 36 0.9× 67 1.6× 41 1.2× 45 578
Weiguo Zhu China 14 153 2.0× 39 0.6× 135 3.2× 61 1.5× 33 1.0× 53 632
Alex Karagrigoriou Greece 14 115 1.5× 39 0.6× 16 0.4× 57 1.4× 13 0.4× 78 795

Countries citing papers authored by Jianchang Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jianchang Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianchang Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianchang Hu. A scholar is included among the top collaborators of Jianchang Hu 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 Jianchang Hu. Jianchang Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Hu, Jianchang & Silke Szymczak. (2024). Evaluation of network-guided random forest for disease gene discovery. BioData Mining. 17(1). 10–10. 2 indexed citations
2.
Hu, Jianchang & Silke Szymczak. (2023). A review on longitudinal data analysis with random forest. Briefings in Bioinformatics. 24(2). 275 indexed citations breakdown →
3.
Dai, Wei, Cai Li, Ting Li, Jianchang Hu, & Heping Zhang. (2022). Super-taxon in human microbiome are identified to be associated with colorectal cancer. BMC Bioinformatics. 23(1). 243–243. 6 indexed citations
4.
Hu, Jianchang & Silke Szymczak. (2022). A review on longitudinal data analysis with random forest in precision medicine. arXiv (Cornell University). 2 indexed citations
5.
Hu, Jianchang, et al.. (2021). Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data. Human Genomics. 15(1). 10–10. 75 indexed citations
6.
Hu, Jianchang & Yazhen Wang. (2020). Quantum Annealing via Path-Integral Monte Carlo With Data Augmentation. Journal of Computational and Graphical Statistics. 30(2). 284–296. 4 indexed citations
7.
Li, Ting, et al.. (2020). Super‐variants identification for brain connectivity. Human Brain Mapping. 42(5). 1304–1312. 6 indexed citations
8.
Hu, Jianchang, et al.. (2020). Supervariants identification for breast cancer. Genetic Epidemiology. 44(8). 934–947. 5 indexed citations
9.
Cai, Tommaso, Jianchang Hu, Yingying Li, & Xinghua Zheng. (2019). High-dimensional minimum variance portfolio estimation based on high-frequency data. Journal of Econometrics. 214(2). 482–494. 32 indexed citations
10.
Cai, Tommaso, Jianchang Hu, Yingying Li, & Xinghua Zheng. (2018). High-Dimensional Minimum Variance Portfolio Estimation Based on High-Frequency Data. SSRN Electronic Journal. 2 indexed citations
11.
Guo, Jianhua, et al.. (2015). Spline-Lasso in High-Dimensional Linear Regression. Journal of the American Statistical Association. 111(513). 288–297. 19 indexed citations
12.
Wang, Li, et al.. (2001). Short-time critical dynamics and universality on a two-dimensional Triangular Lattice 1. 5 indexed citations
13.
Hu, Jianchang, et al.. (1986). Critical ultrasonic behavior near the normal-incommensurate phase transition inNaNO2. Physical review. B, Condensed matter. 33(9). 6331–6339. 19 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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