Bihui Jin

57 total papers · 1.0k total citations
31 papers, 734 citations indexed

About

Bihui Jin is a scholar working on Statistics, Probability and Uncertainty, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, Bihui Jin has authored 31 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics, Probability and Uncertainty, 3 papers in Reproductive Medicine and 2 papers in Molecular Biology. Recurrent topics in Bihui Jin's work include scientometrics and bibliometrics research (9 papers), Web visibility and informetrics (2 papers) and Sexual Differentiation and Disorders (1 paper). Bihui Jin is often cited by papers focused on scientometrics and bibliometrics research (9 papers), Web visibility and informetrics (2 papers) and Sexual Differentiation and Disorders (1 paper). Bihui Jin collaborates with scholars based in China, Belgium and Netherlands. Bihui Jin's co-authors include Ronald Rousseau, Leo Egghe, Liming Liang, Bing Wang, Loet Leydesdorff, Cong Cao, Richard P. Suttmeier, Ronald W. Rousseau, Ling Li and Erchao Meng and has published in prestigious journals such as Journal of The Electrochemical Society, Scientometrics and Frontiers in Endocrinology.

In The Last Decade

Bihui Jin

30 papers receiving 687 citations

Author Peers

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

Author						Papers	Cites
Bihui Jin	496	174	119	70	70	31	734
Elena Corera‐Álvarez	292 0.6×	160 0.9×	71 0.6×	61 0.9×	58 0.8×	52	757
Ali Gazni	393 0.8×	116 0.7×	67 0.6×	51 0.7×	88 1.3×	21	699
Elise Bassecoulard	441 0.9×	221 1.3×	140 1.2×	79 1.1×	99 1.4×	16	859
Wolfgang Glänzel	427 0.9×	175 1.0×	136 1.1×	145 2.1×	96 1.4×	14	839
Ming‐Yueh Tsay	257 0.5×	222 1.3×	52 0.4×	54 0.8×	88 1.3×	40	859
Miranda Lee Pao	293 0.6×	207 1.2×	62 0.5×	142 2.0×	80 1.1×	23	861
Renger E. de Bruin	432 0.9×	145 0.8×	40 0.3×	45 0.6×	80 1.1×	12	714
Herbert Snyder	381 0.8×	276 1.6×	115 1.0×	74 1.1×	25 0.4×	30	893
Stephen J. Bensman	376 0.8×	209 1.2×	72 0.6×	71 1.0×	43 0.6×	25	627
Qing Ke	305 0.6×	134 0.8×	157 1.3×	135 1.9×	80 1.1×	39	868

Countries citing papers authored by Bihui Jin

Since Specialization

Citations

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

Fields of papers citing papers by Bihui Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bihui Jin

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