Chen Liang

73 total papers · 788 total citations
40 papers, 494 citations indexed

About

Chen Liang is a scholar working on Sociology and Political Science, Marketing and Economics and Econometrics. According to data from OpenAlex, Chen Liang has authored 40 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Sociology and Political Science, 15 papers in Marketing and 13 papers in Economics and Econometrics. Recurrent topics in Chen Liang's work include Sharing Economy and Platforms (9 papers), Digital Economy and Work Transformation (9 papers) and Taxation and Compliance Studies (9 papers). Chen Liang is often cited by papers focused on Sharing Economy and Platforms (9 papers), Digital Economy and Work Transformation (9 papers) and Taxation and Compliance Studies (9 papers). Chen Liang collaborates with scholars based in United States, China and Canada. Chen Liang's co-authors include Yili Hong, Bin Gu, Jesús Gonzalo, Juan J. Dolado, Jing Peng, T. S. Raghu, Zhan Shi, Ziru Li, Ni Huang and Kanliang Wang and has published in prestigious journals such as Management Science, MIS Quarterly and Journal of Econometrics.

In The Last Decade

Chen Liang

35 papers receiving 474 citations

Author Peers

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

Author						Papers	Cites
Chen Liang	177	141	92	68	62	40	494
Samuel P. Fraiberger	146 0.8×	171 1.2×	115 1.3×	96 1.4×	34 0.5×	23	518
Jean‐Pierre van der Rest	162 0.9×	297 2.1×	90 1.0×	47 0.7×	19 0.3×	32	489
Xiang Hui	118 0.7×	147 1.0×	144 1.6×	31 0.5×	43 0.7×	34	516
Edlira Shehu	149 0.8×	217 1.5×	87 0.9×	12 0.2×	68 1.1×	29	538
Vladimír Krajčík	94 0.5×	73 0.5×	140 1.5×	25 0.4×	18 0.3×	30	425
Ján Huňady	73 0.4×	36 0.3×	118 1.3×	106 1.6×	41 0.7×	32	454
Chulwoo Baek	60 0.3×	89 0.6×	177 1.9×	51 0.8×	15 0.2×	31	414
Deodat Mwesiumo	140 0.8×	113 0.8×	52 0.6×	19 0.3×	88 1.4×	35	520
Arash Riasi	157 0.9×	167 1.2×	59 0.6×	7 0.1×	19 0.3×	23	517
Sofia Ranchordás	213 1.2×	159 1.1×	42 0.5×	105 1.5×	7 0.1×	73	537

Countries citing papers authored by Chen Liang

Since Specialization

Citations

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

Fields of papers citing papers by Chen Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Liang

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