Xiaobei Zhou

775 total citations
10 papers, 512 citations indexed

About

Xiaobei Zhou is a scholar working on Molecular Biology, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Xiaobei Zhou has authored 10 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Xiaobei Zhou's work include Biomedical Text Mining and Ontologies (2 papers), Advanced Text Analysis Techniques (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Xiaobei Zhou is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Advanced Text Analysis Techniques (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Xiaobei Zhou collaborates with scholars based in China, Switzerland and Australia. Xiaobei Zhou's co-authors include Mark D. Robinson, Helen Lindsay, Lei Cui, Miao Zhou, Desheng Huang, Abdullah Kahraman, Charity W. Law, Lukas M. Weber, Alicia Oshlack and Florian Kirchner and has published in prestigious journals such as Nucleic Acids Research, Frontiers in Immunology and RNA.

In The Last Decade

Xiaobei Zhou

10 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaobei Zhou China	8	258	96	85	69	50	10	512
Karen Wong United States	9	284 1.1×	155 1.6×	52 0.6×	44 0.6×	20 0.4×	12	534
Heejung Shim Australia	8	332 1.3×	41 0.4×	84 1.0×	223 3.2×	50 1.0×	20	619
Ricardo A. Verdugo Chile	15	219 0.8×	78 0.8×	43 0.5×	179 2.6×	37 0.7×	33	516
Shuang-Li Hao China	11	252 1.0×	39 0.4×	66 0.8×	108 1.6×	25 0.5×	24	531
Jiawei Xu China	13	276 1.1×	47 0.5×	130 1.5×	186 2.7×	38 0.8×	62	520
Yong Qian China	11	350 1.4×	27 0.3×	52 0.6×	126 1.8×	29 0.6×	23	485
Baicheng Xu China	8	209 0.8×	18 0.2×	50 0.6×	100 1.4×	45 0.9×	32	500
Arianna Consiglio Italy	17	359 1.4×	73 0.8×	196 2.3×	34 0.5×	61 1.2×	36	696
Maia J. Benner United States	7	227 0.9×	58 0.6×	44 0.5×	79 1.1×	20 0.4×	7	464
Guangmei Xie China	4	181 0.7×	18 0.2×	58 0.7×	97 1.4×	45 0.9×	8	408

Countries citing papers authored by Xiaobei Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Xiaobei Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobei Zhou

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Wan, Jing, et al.. (2024). Pixel embedding for grayscale medical image classification. Heliyon. 10(16). e36191–e36191. 1 indexed citations

2.

Liu, Yang, Xiaobei Zhou, Ning Ding, et al.. (2024). Obesity contagion among classmates: Children's relation with each other regarding weight status, physical activity, and dietary intake. SSM - Population Health. 26. 101636–101636. 1 indexed citations

3.

Zhou, Xiaobei, Miao Zhou, Desheng Huang, & Lei Cui. (2022). A probabilistic model for co-occurrence analysis in bibliometrics. Journal of Biomedical Informatics. 128. 104047–104047. 47 indexed citations

4.

Zhou, Xiaobei, Lei Chen, & Huixin Liu. (2022). Applications of Machine Learning Models to Predict and Prevent Obesity: A Mini-Review. Frontiers in Nutrition. 9. 933130–933130. 7 indexed citations

5.

Zhou, Xiaobei, et al.. (2020). Biclustering high-frequency MeSH terms based on the co-occurrence of distinct semantic types in a MeSH tree. Scientometrics. 124(2). 1179–1190. 7 indexed citations

6.

Moresi, Claudia, Xiaobei Zhou, Michelle Schorer, et al.. (2018). Common Features of Regulatory T Cell Specialization During Th1 Responses. Frontiers in Immunology. 9. 1344–1344. 44 indexed citations

7.

Zhou, Xiaobei, Helen Lindsay, & Mark D. Robinson. (2014). Robustly detecting differential expression in RNA sequencing data using observation weights. Nucleic Acids Research. 42(11). e91–e91. 299 indexed citations

8.

Robinson, Mark D., Abdullah Kahraman, Charity W. Law, et al.. (2014). Statistical methods for detecting differentially methylated loci and regions. Frontiers in Genetics. 5. 324–324. 76 indexed citations

9.

Li, Jianghai, et al.. (2013). Paleo-plate Reconstruction and Drift Path of Tarim Block from Neoproterozic to Early Palaeozoic. Diqiu kexue jinzhan. 28(6). 637–647. 10 indexed citations

10.

Zhou, Xiaobei, Alicia Oshlack, & Mark D. Robinson. (2013). miRNA-Seq normalization comparisons need improvement. RNA. 19(6). 733–734. 20 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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