Huazhen Lin

106 total papers · 897 total citations
60 papers, 532 citations indexed

About

Huazhen Lin is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Huazhen Lin has authored 60 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Huazhen Lin's work include Statistical Methods and Inference (40 papers), Statistical Methods and Bayesian Inference (26 papers) and Bayesian Methods and Mixture Models (13 papers). Huazhen Lin is often cited by papers focused on Statistical Methods and Inference (40 papers), Statistical Methods and Bayesian Inference (26 papers) and Bayesian Methods and Mixture Models (13 papers). Huazhen Lin collaborates with scholars based in China, United States and Hong Kong. Huazhen Lin's co-authors include Yong Zhou, Jianqing Fan, Xiao‐Hua Zhou, Ling Zhou, Yi Li, Heng Peng, Jian Huang, Hua Liang, Eric O. Johnson and Wei Liu and has published in prestigious journals such as Nucleic Acids Research, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Huazhen Lin

57 papers receiving 517 citations

Author Peers

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

Author						Papers	Cites
Huazhen Lin	313	104	81	39	38	60	532
Linglong Kong	205 0.7×	115 1.1×	48 0.6×	23 0.6×	28 0.7×	67	605
Jeffrey W. Miller	146 0.5×	221 2.1×	75 0.9×	20 0.5×	81 2.1×	36	618
Ruoqing Zhu	179 0.6×	110 1.1×	148 1.8×	55 1.4×	5 0.1×	54	612
Woncheol Jang	84 0.3×	48 0.5×	78 1.0×	12 0.3×	15 0.4×	47	530
Alexander Petersen	121 0.4×	103 1.0×	14 0.2×	111 2.8×	85 2.2×	39	588
Zhichao Jiang	113 0.4×	75 0.7×	149 1.8×	39 1.0×	7 0.2×	37	488
P. Richard Hahn	248 0.8×	194 1.9×	48 0.6×	92 2.4×	3 0.1×	24	618
Monica Chiogna	179 0.6×	62 0.6×	198 2.4×	24 0.6×	4 0.1×	47	537
Juan Carlos Correa	107 0.3×	40 0.4×	38 0.5×	63 1.6×	3 0.1×	57	497
Yuan‐chin Ivan Chang	124 0.4×	137 1.3×	107 1.3×	4 0.1×	5 0.1×	46	511

Countries citing papers authored by Huazhen Lin

Since Specialization

Citations

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

Fields of papers citing papers by Huazhen Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huazhen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Huazhen Lin. A scholar is included among the top collaborators of Huazhen Lin 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 Huazhen Lin. Huazhen Lin 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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