Bei Jiang

3.0k total citations
143 papers, 2.1k citations indexed

About

Bei Jiang is a scholar working on Molecular Biology, Pharmacology and Statistics and Probability. According to data from OpenAlex, Bei Jiang has authored 143 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 16 papers in Pharmacology and 15 papers in Statistics and Probability. Recurrent topics in Bei Jiang's work include Statistical Methods and Inference (13 papers), Phytoestrogen effects and research (10 papers) and Estrogen and related hormone effects (8 papers). Bei Jiang is often cited by papers focused on Statistical Methods and Inference (13 papers), Phytoestrogen effects and research (10 papers) and Estrogen and related hormone effects (8 papers). Bei Jiang collaborates with scholars based in China, United States and Canada. Bei Jiang's co-authors include Edward J. Kennelly, Hui Yang, Fredi Kronenberg, Margaret J. Basile, Kurt A. Reynertson, Lawrence W. Svenson, Daniel Sadowski, Paiboon Nuntanakorn, Han‐Dong Sun and Wanzeng Kong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Bei Jiang

125 papers receiving 2.0k citations

Peers

Countries citing papers authored by Bei Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Bei Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Jiang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Rapid Estimation of Truck Cycle Time in Open-Pit Mine Haulage Based on Feature-Optimized Machine Learning 2025 ·Mining Metallurgy & Exploration ·Chengkai Fan, (unknown), Bei Jiang, Wei Victor Liu	0
2	Differentially Private Bayesian Envelope Regression via Sufficient Statistic Perturbation 2025 ·Journal of Data Science ·Yu Peng, (unknown), Zhihua Su, Jiamei Wu, Lingchen Kong, Bei Jiang	0
3	Modelling impacts of climate change on snow drought, groundwater drought, and their feedback mechanism in a snow-dominated watershed in western Canada 2024 ·Journal of Hydrology ·(unknown), (unknown), Bei Jiang, Ryan T. Bailey, M. B. Masud, Brian Smerdon, Monireh Faramarzi	13
4	Matching combination of amorphous ionic hydrogel with elastic fabric enables integrated properties for wearable sensing 2024 ·Polymer ·Bei Jiang, (unknown), (unknown), (unknown), Hongxing Xu, Xiansheng Zhang, Lili Wang	3
5	A Bayesian joint model for mediation analysis with matrix-valued mediators 2024 ·Biometrics ·(unknown), Zhihui Liu, Ali Hosni, John Kim, Bei Jiang, Olli Saarela	0
6	Language in job advertisements and the reproduction of labor force gender and racial segregation 2024 ·PNAS Nexus ·Yang Hu, Nicole Denier, Lei Ding, Monideepa Tarafdar, (unknown), Karen D. Hughes, (unknown), Bran Knowles, (unknown), (unknown), (unknown), Linglong Kong, (unknown), (unknown), Bei Jiang	2
7	Machine learning with SHapley additive exPlanations for evaluating mine truck productivity under real-site weather conditions at varying temporal resolutions 2024 ·International Journal of Mining Reclamation and Environment ·Chengkai Fan, (unknown), (unknown), Bei Jiang, Wei Victor Liu	6
8	Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms 2023 ·Frontiers in Genetics ·(unknown), Jing Zou, Le Zhang, Hongru Liu, Bei Jiang, Yi Liang, Yuzhe Zhang	3
9	Multi-Objective Parameter Optimization of Submersible Well Pumps Based on RBF Neural Network and Particle Swarm Optimization 2023 ·Applied Sciences ·Zhimin Liu, (unknown), Yue Pan, Bei Jiang	1
10	Experimental demonstration of TE/TM polarization-independent frequency upconversion assisted by polarization coupling 2023 ·Chinese Optics Letters ·Tingting Ding, (unknown), (unknown), Yi‐Wen Huang, Bei Jiang, (unknown), (unknown), Yuanlin Zheng, (unknown)	1
11	Weighted ensembles of artificial neural networks based on Gaussian mixture modeling for truck productivity prediction at open-pit mines 2023 ·Mining Metallurgy & Exploration ·Chengkai Fan, (unknown), Bei Jiang, Wei Victor Liu	12
12	Associations between Longitudinal Gestational Weight Gain and Scalar Infant Birth Weight: A Bayesian Joint Modeling Approach 2022 ·Entropy ·(unknown), Linglong Kong, Yan Yuan, Rhonda C. Bell, Nicole Létourneau, Bei Jiang	1
13	Balancing Inferential Integrity and Disclosure Risk Via Model Targeted Masking and Multiple Imputation 2021 ·Journal of the American Statistical Association ·Bei Jiang, Adrian E. Raftery, Russell Steele, Naisyin Wang	7
14	Cross-sectional analysis of peripheral blood mononuclear cells in lymphopenic and non-lymphopenic relapsing-remitting multiple sclerosis patients treated with dimethyl fumarate. 2021 ·Multiple Sclerosis and Related Disorders ·Chieh-Hsin Lee, Bei Jiang, Maryam Nakhaei‐Nejad, David Barillà, Gregg Blevins, Fabrizio Giuliani	3
15	A Bayesian approach to joint modeling of matrix‐valued imaging data and treatment outcome with applications to depression studies 2019 ·Biometrics ·Bei Jiang, Eva Petkova, Thaddeus Tarpey, R. Todd Ogden	8
16	Chemical constituents of agarwood originating from Aquilaria crassna in Cambodia. 2019 ·(unknown), (unknown), Wen-Li Mei, (unknown), Cai-Hong Cai, Bei Jiang, (unknown)	4
17	Establishment of a new scoring model for IVIG non-response of Kawasaki disease 2018 ·International journal of pediatrics ·(unknown), (unknown), Han Zhang, (unknown), Bei Jiang, Lijian Xie, Tingting Xiao	1
18	Establishment and research of Kawasaki disease diagnosis model 2018 ·International journal of pediatrics ·Bei Jiang, Longzhe Jin, Hui Yang, (unknown)	2
19	cqrReg: An R Package for Quantile and Composite Quantile Regression and Variable Selection 2017 ·arXiv (Cornell University) ·(unknown), (unknown), Linglong Kong, Bei Jiang, Di Niu	1
20	A new ent-Kauranoid from Isodon eriocalyx var. laxiflora 2000 ·Acta Botanica Yunnanica ·Ai‐Jun Hou, (unknown), Bei Jiang, (unknown), Zhong‐Wen Lin, Sun H	1

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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