X. Joan Hu

55 total papers · 603 total citations
39 papers, 402 citations indexed

About

X. Joan Hu is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, X. Joan Hu has authored 39 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 8 papers in Economics and Econometrics and 7 papers in Artificial Intelligence. Recurrent topics in X. Joan Hu's work include Statistical Methods and Inference (21 papers), Statistical Methods and Bayesian Inference (17 papers) and Bayesian Methods and Mixture Models (7 papers). X. Joan Hu is often cited by papers focused on Statistical Methods and Inference (21 papers), Statistical Methods and Bayesian Inference (17 papers) and Bayesian Methods and Mixture Models (7 papers). X. Joan Hu collaborates with scholars based in Canada, United States and China. X. Joan Hu's co-authors include Lang Wu, Stephen W. Lagakos, Winfred C. Wang, Huaiqing Wu, Richard Lockhart, Rhonda J. Rosychuk, Carlos Rodríguez‐Galindo, Scott C. Howard, Michael Jeng and Mark A. Miles and has published in prestigious journals such as Journal of the American Statistical Association, Scientific Reports and Biometrics.

In The Last Decade

X. Joan Hu

34 papers receiving 395 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
X. Joan Hu	171	65	64	43	37	39	402
Oscar Ngesa	131 0.8×	64 1.0×	21 0.3×	35 0.8×	22 0.6×	42	340
Frank Eriksson	61 0.4×	20 0.3×	10 0.2×	13 0.3×	51 1.4×	42	375
Anwer Khurshid	87 0.5×	11 0.2×	12 0.2×	21 0.5×	14 0.4×	27	435
Scott K. Winiecki	13 0.1×	64 1.0×	22 0.3×	47 1.1×	21 0.6×	21	338
Valeska Andreozzi	25 0.1×	16 0.2×	8 0.1×	32 0.7×	28 0.8×	41	337
Md Hasinur Rahaman Khan	53 0.3×	10 0.2×	15 0.2×	27 0.6×	137 3.7×	40	407
Feinstein Ar	27 0.2×	11 0.2×	29 0.5×	6 0.1×	9 0.2×	30	388
Chelsea E. Canan	27 0.2×	14 0.2×	5 0.1×	51 1.2×	30 0.8×	23	399
John T. Chen	100 0.6×	15 0.2×	14 0.2×	4 0.1×	57 1.5×	32	359
M. R. Sooriyarachchi	147 0.9×	3 0.0×	17 0.3×	10 0.2×	16 0.4×	50	332

Countries citing papers authored by X. Joan Hu

Since Specialization

Citations

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

Fields of papers citing papers by X. Joan Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of X. Joan Hu

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

All Works

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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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