Ming Shien Cheng

42 total papers · 432 total citations
12 papers, 203 citations indexed

About

Ming Shien Cheng is a scholar working on Marketing, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Ming Shien Cheng has authored 12 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Marketing, 4 papers in Artificial Intelligence and 3 papers in Sociology and Political Science. Recurrent topics in Ming Shien Cheng's work include Consumer Market Behavior and Pricing (3 papers), Consumer Behavior in Brand Consumption and Identification (3 papers) and Digital Marketing and Social Media (3 papers). Ming Shien Cheng is often cited by papers focused on Consumer Market Behavior and Pricing (3 papers), Consumer Behavior in Brand Consumption and Identification (3 papers) and Digital Marketing and Social Media (3 papers). Ming Shien Cheng collaborates with scholars based in China, United States and Canada. Ming Shien Cheng's co-authors include Ming Li, Fang Wan, Jiayin Qi, Chris Anderson, Xiaomeng Wang, Tao Jia, Rui Zhang, Zhen Zhu, Yechen Wang and Haoxu Wang and has published in prestigious journals such as IEEE Access, Industrial Marketing Management and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Ming Shien Cheng

11 papers receiving 189 citations

Author Peers

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

Author						Papers	Cites
Ming Shien Cheng	113	96	53	31	29	12	203
Muhammed Yousoof Ismail	59 0.5×	19 0.2×	70 1.3×	46 1.5×	16 0.6×	10	262
Wenhao Zhang	152 1.3×	38 0.4×	66 1.2×	20 0.6×	5 0.2×	12	229
Abu Shamim Mohammad Arif	78 0.7×	53 0.6×	45 0.8×	10 0.3×	6 0.2×	19	262
Ganesh Chandrasekaran	147 1.3×	32 0.3×	43 0.8×	6 0.2×	20 0.7×	11	249
Markus Schaal	128 1.1×	18 0.2×	74 1.4×	52 1.7×	16 0.6×	13	240
Elke Michlmayr	66 0.6×	60 0.6×	34 0.6×	6 0.2×	94 3.2×	11	236
Deepjyoti Roy	92 0.8×	37 0.4×	34 0.6×	22 0.7×	27 0.9×	12	245
Jitao Sang	96 0.8×	156 1.6×	50 0.9×	4 0.1×	11 0.4×	16	266
Stefan Nusser	79 0.7×	53 0.6×	38 0.7×	20 0.6×	61 2.1×	17	217
Leo Iaquinta	89 0.8×	58 0.6×	25 0.5×	11 0.4×	17 0.6×	17	229

Countries citing papers authored by Ming Shien Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Ming Shien Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Shien Cheng. 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 Ming Shien Cheng. The network helps show where Ming Shien Cheng may publish in the future.

Co-authorship network of co-authors of Ming Shien Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Shien Cheng. A scholar is included among the top collaborators of Ming Shien Cheng 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 Ming Shien Cheng. Ming Shien Cheng 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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