Ming Shien Cheng

437 citations
12 papers · 211 indexed · h-index 7
Topics
Digital Marketing and Social Media (3 papers)Consumer Behavior in Brand Consumption and Identification (3 papers)Anomaly Detection Techniques and Applications (3 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Ming Shien Cheng

11 papers receiving 197 citations

Peers

Ming Shien Cheng
Comparison fields: 5 of 54
  • Artificial Intelligence 121
  • Computer Vision and Pattern Recognition 103
  • Sociology and Political Science 54
  • Marketing 31
  • Computer Networks and Communications 30
Replace Qinglong Li with:
Qinglong Li South Korea
Deepa Anand India
Wenhao Zhang China
Andrew Hutchison South Africa
Ganesh Chandrasekaran India
Mahsa Ebrahimian Canada
Leo Iaquinta Italy
Anna Sandin Sweden
Hyunji Chung South Korea
Arun Solanki India
Ming Shien Cheng relative to Qinglong Li South Korea Qinglong Li's profile →
Citations per field
00.5×3.8×
Qinglong Li · 1×
Citations per year

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

12 of 12 papers shown
#WorkIndexed citations
1 2
2 9
3 2
4 7
5 38
6 121
7 0
8 2
9 9
10 12
11 2
12 7

About Ming Shien Cheng

Ming Shien Cheng is a scholar working on General Energy, Marketing and Human-Computer Interaction, having authored 12 papers that have together received 211 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (3 papers), Consumer Behavior in Brand Consumption and Identification (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (103 citations), Artificial Intelligence (121 citations) and Marketing (31 citations). Ming Shien Cheng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ming Li, Fang Wan, Jiayin Qi, Chris Anderson, Tao Jia, Rui Zhang, Xiaomeng Wang, Zhen Zhu, Haoxu Wang and Yechen Wang. Their work appears in journals such as IEEE Access, Industrial Marketing Management and Physica A Statistical Mechanics and its Applications.

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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