Shu‐Ling Cheng
Impact in
- Marketing top 5%
- Consumer Retail Behavior Studies
- Consumer Behavior in Brand Consumption and Identification
- Consumer Behavior and Marketing Influence
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- Technology Adoption and User Behaviour
Papers in
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- Augmented Reality Applications 3
- Robotic Path Planning Algorithms 3
- Co-authors
- Kuan-Yang Chen (1 shared paper)Lei‐Yu Wu (1 shared paper)Po-Yuan Chen (1 shared paper)Hae‐Ching Chang (3 shared papers)Jyh-Horng Jeng (3 shared papers)Jer‐Guang Hsieh (3 shared papers)Chun-Hsu Ko (5 shared papers)Yih-Lon Lin (2 shared papers)
In The Last Decade
Shu‐Ling Cheng
17 papers receiving 503 citations
Peers
Comparison fields: 5 of 89
- Marketing 230
- Information Systems and Management 168
- Organizational Behavior and Human Resource Management 138
- Sociology and Political Science 224
- Business and International Management 8
Countries citing papers authored by Shu‐Ling Cheng
This map shows the geographic impact of Shu‐Ling 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 Shu‐Ling Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Ling Cheng more than expected).
Fields of papers citing papers by Shu‐Ling Cheng
This network shows the impact of papers produced by Shu‐Ling 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 Shu‐Ling Cheng. The network helps show where Shu‐Ling Cheng may publish in the future.
Co-authors
The 24 scholars most cited alongside Shu‐Ling Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 376 | |
| 2 | 2020 | 25 | |
| 3 | 2009 | 22 | |
| 4 | 2020 | 18 | |
| 5 | 2020 | 16 | |
| 6 | 2009 | 15 | |
| 7 | 2018 | 10 | |
| 8 | 2014 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2014 | 5 | |
| 13 | 2010 | 4 | |
| 14 | Development of an Effective 3D VR-Based Manipulation System for Industrial Robot Manipulators | 2019 | 3 |
| 15 | 2024 | 2 | |
| 16 | 2012 | 2 | |
| 17 | 2006 | 1 | |
| 18 | 2021 | 0 | |
| 19 | 2025 | 0 |
About Shu‐Ling Cheng
Shu‐Ling Cheng is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Emergency Medicine, Artificial Intelligence and Aerospace Engineering, having authored 19 papers that have together received 525 indexed citations. Recurring topics across this work include Augmented Reality Applications (3 papers), Robotic Path Planning Algorithms (3 papers), Robotics and Sensor-Based Localization (3 papers), Educational Technology and Assessment (2 papers), Innovation and Knowledge Management (2 papers), Competitive and Knowledge Intelligence (2 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers) and Business Strategy and Innovation (2 papers). The work is most often cited by research in Marketing (230 citations), Information Systems and Management (168 citations), Organizational Behavior and Human Resource Management (138 citations), Sociology and Political Science (224 citations) and Business and International Management (8 citations). Shu‐Ling Cheng has collaborated with scholars based in Taiwan, China and Sweden. Frequent co-authors include Kuan-Yang Chen, Lei‐Yu Wu, Po-Yuan Chen, Hae‐Ching Chang, Jyh-Horng Jeng, Jer‐Guang Hsieh, Chun-Hsu Ko, Yih-Lon Lin, Chien‐Hua Chen and Chien‐Hua Chen. Their work appears in journals such as Journal of Business Research, Journal of Clinical Nursing, Public Health Nursing, The American Journal of Emergency Medicine and Journal of Intelligent & Robotic Systems.
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.