Xuan Bi

437 total citations
27 papers, 239 citations indexed

About

Xuan Bi is a scholar working on Artificial Intelligence, Computational Mathematics and Genetics. According to data from OpenAlex, Xuan Bi has authored 27 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computational Mathematics and 5 papers in Genetics. Recurrent topics in Xuan Bi's work include Tensor decomposition and applications (5 papers), Genetic Associations and Epidemiology (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Xuan Bi is often cited by papers focused on Tensor decomposition and applications (5 papers), Genetic Associations and Epidemiology (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Xuan Bi collaborates with scholars based in United States, China and Hong Kong. Xuan Bi's co-authors include Annie Qu, Xiaotong Shen, Xiwei Tang, Heping Zhang, Gediminas Adomavičius, Junhui Wang, William Li, Yubai Yuan, Tengfei Li and Mochen Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Management Science.

In The Last Decade

Xuan Bi

24 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuan Bi United States	9	71	60	43	31	30	27	239
Weixiang Shao United States	10	24 0.3×	242 4.0×	8 0.2×	13 0.4×	9 0.3×	15	383
Pengsheng Ji United States	6	7 0.1×	100 1.7×	9 0.2×	4 0.1×	2 0.1×	11	281
Dejiao Zhang United States	10	8 0.1×	313 5.2×	4 0.1×	48 1.5×	4 0.1×	21	425
Niannan Xue United Kingdom	8	12 0.2×	47 0.8×	9 0.2×	56 1.8×	28 0.9×	10	271
Wu-Jun Li China	5	14 0.2×	135 2.3×	3 0.1×	9 0.3×	17 0.6×	12	220
Md Abul Bashar Australia	7	6 0.1×	112 1.9×	3 0.1×	8 0.3×	8 0.3×	23	203
Zhen Lin China	8	10 0.1×	89 1.5×	2 0.0×	2 0.1×	12 0.4×	13	288
Munmun Biswas Bangladesh	10		127 2.1×	30 0.7×	7 0.2×	35 1.2×	16	325
Ruimin Wang China	9	3 0.0×	110 1.8×	5 0.1×	29 0.9×	6 0.2×	20	291

Countries citing papers authored by Xuan Bi

Since Specialization

Citations

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

Fields of papers citing papers by Xuan Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Xuan Bi. A scholar is included among the top collaborators of Xuan Bi 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 Xuan Bi. Xuan Bi 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:

20 of 20 papers shown

Bi, Xuan, et al.. (2025). Physician Use of Large Language Models: A Quantitative Study Based on Large-Scale Query-Level Data. Journal of Medical Internet Research. 27. e76941–e76941.

Chen, J.X., et al.. (2024). Background Music Recommendation on Short Video Sharing Platforms. Information Systems Research. 35(4). 1890–1908. 2 indexed citations

Bi, Xuan, et al.. (2024). Welfare and fairness dynamics in federated learning: a client selection perspective. Statistics and Its Interface. 17(3). 383–395. 1 indexed citations

Bi, Xuan, Mochen Yang, & Gediminas Adomavičius. (2023). Consumer Acquisition for Recommender Systems: A Theoretical Framework and Empirical Evaluations. Information Systems Research. 35(1). 339–362. 3 indexed citations

Bi, Xuan, Alok Gupta, & Mochen Yang. (2023). Understanding Partnership Formation and Repeated Contributions in Federated Learning: An Analytical Investigation. Management Science. 70(8). 4974–4994. 8 indexed citations

Bi, Xuan & Xiaotong Shen. (2022). Distribution-invariant differential privacy. Journal of Econometrics. 235(2). 444–453. 11 indexed citations

Bi, Xuan, Gediminas Adomavičius, William Li, & Annie Qu. (2022). Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness. INFORMS journal on computing. 34(3). 1644–1660. 25 indexed citations

Shen, Xiaotong, et al.. (2022). Data Flush. SHILAP Revista de lepidopterología. 4(2). 1 indexed citations

Zhang, Yanqing, Xuan Bi, Niansheng Tang, & Annie Qu. (2020). Dynamic Tensor Recommender Systems. Journal of Machine Learning Research. 22(65). 1–35. 2 indexed citations

10.

Feng, Long, Xuan Bi, & Heping Zhang. (2020). Brain Regions Identified as Being Associated With Verbal Reasoning Through the Use of Imaging Regression via Internal Variation. Journal of the American Statistical Association. 116(533). 144–158. 6 indexed citations

11.

Bi, Xuan, Mochen Yang, & Gediminas Adomavičius. (2020). Consumer Acquisition for Recommender Systems: A Theoretical Framework and Empirical Evaluations. SSRN Electronic Journal. 2 indexed citations

12.

Tang, Xiwei, Xuan Bi, & Annie Qu. (2019). Individualized Multilayer Tensor Learning With an Application in Imaging Analysis. Journal of the American Statistical Association. 115(530). 836–851. 14 indexed citations

13.

Wang, Yu, Xuan Bi, & Annie Qu. (2019). A Logistic Factorization Model for Recommender Systems With Multinomial Responses. Journal of Computational and Graphical Statistics. 29(2). 396–404. 3 indexed citations

14.

Bi, Xuan, Long Feng, Tengfei Li, et al.. (2019). Common genetic variants have associations with human cortical brain regions and risk of schizophrenia. Genetic Epidemiology. 43(5). 548–558. 2 indexed citations

15.

Zhang, Heping, et al.. (2018). Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence. The Annals of Applied Statistics. 12(4). 2359–2378. 7 indexed citations

16.

Bi, Xuan & Annie Qu. (2018). A mixed-effects estimating equation approach to nonignorable missing longitudinal data with refreshment samples. Statistica Sinica. 1 indexed citations

17.

Lam, Ham Ching, Xuan Bi, Srinand Sreevatsan, & Daniel Boley. (2017). Evolution and Vaccination of Influenza Virus. Journal of Computational Biology. 24(8). 787–798. 3 indexed citations

18.

Clark, Sarah E., Jeanette E. Purcell, Xuan Bi, & Jeffrey D Fortman. (2017). Cross-Foster Rederivation Compared with Antibiotic Administration in the Drinking Water to Eradicate Bordetella pseudohinzii.. PubMed. 56(1). 47–51. 5 indexed citations

19.

Bi, Xuan, Liuqing Yang, Tengfei Li, et al.. (2017). Genome‐wide mediation analysis of psychiatric and cognitive traits through imaging phenotypes. Human Brain Mapping. 38(8). 4088–4097. 29 indexed citations

20.

Liechty, Janet M., Xuan Bi, & Annie Qu. (2016). Feasibility and validity of a statistical adjustment to reduce self-report bias of height and weight in wave 1 of the Add Health study. BMC Medical Research Methodology. 16(1). 124–124. 4 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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