Bin Liang

82 total papers · 681 total citations
48 papers, 452 citations indexed

About

Bin Liang is a scholar working on Sociology and Political Science, Clinical Psychology and Law. According to data from OpenAlex, Bin Liang has authored 48 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Sociology and Political Science, 13 papers in Clinical Psychology and 10 papers in Law. Recurrent topics in Bin Liang's work include Crime Patterns and Interventions (26 papers), Criminal Justice and Corrections Analysis (22 papers) and Judicial and Constitutional Studies (8 papers). Bin Liang is often cited by papers focused on Crime Patterns and Interventions (26 papers), Criminal Justice and Corrections Analysis (22 papers) and Judicial and Constitutional Studies (8 papers). Bin Liang collaborates with scholars based in United States, China and Macao. Bin Liang's co-authors include Hong Lu, Michael A. Long, Ni He, Jie Zhang, Yong Zhou, Siyu Liu, Jianhong Liu, Te Bao, Yohanes E. Riyanto and Hong Lu and has published in prestigious journals such as Journal of Criminal Justice, European Journal of Political Economy and China Economic Review.

In The Last Decade

Bin Liang

44 papers receiving 430 citations

Author Peers

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

Author						Papers	Cites
Bin Liang	341	106	102	51	51	48	452
Brian Forst	318 0.9×	91 0.9×	67 0.7×	29 0.6×	46 0.9×	37	479
Jurg Gerber	413 1.2×	78 0.7×	136 1.3×	66 1.3×	26 0.5×	49	539
Matthew Robinson	258 0.8×	81 0.8×	48 0.5×	27 0.5×	31 0.6×	49	435
Tarah Hodgkinson	411 1.2×	81 0.8×	49 0.5×	54 1.1×	11 0.2×	41	518
Ernesto Ugo Savona	368 1.1×	40 0.4×	57 0.6×	71 1.4×	11 0.2×	65	443
Dean Wilson	357 1.0×	141 1.3×	48 0.5×	20 0.4×	21 0.4×	34	541
David Alan Sklansky	275 0.8×	198 1.9×	58 0.6×	8 0.2×	56 1.1×	45	443
Ian Warren	227 0.7×	64 0.6×	48 0.5×	55 1.1×	8 0.2×	51	471
Sergio Herzog	331 1.0×	86 0.8×	85 0.8×	17 0.3×	27 0.5×	35	454
Jane Johnston	158 0.5×	50 0.5×	70 0.7×	28 0.5×	58 1.1×	61	501

Countries citing papers authored by Bin Liang

Since Specialization

Citations

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

Fields of papers citing papers by Bin Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Liang

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