Peng-Ting Chen
Impact in
-
- Technology Adoption and User Behaviour
- Marketing top 10%
- Consumer Behavior in Brand Consumption and Identification
- Consumer Retail Behavior Studies
Papers in
-
- Big Data and Business Intelligence 2
-
- Artificial Intelligence in Healthcare 1
- Co-authors
- Chia-Li Lin (1 shared paper)Joe Cheng (1 shared paper)Chih‐Cheng Hsu (1 shared paper)Chien‐Hsu Chen (1 shared paper)Chih‐Lung Lin (1 shared paper)Pi‐Shan Sung (1 shared paper)Chou‐Ching K. Lin (1 shared paper)Yi‐Chun Du (1 shared paper)
- Journals
- Sensors (2 papers)Technological Forecasting and Social Change (2 papers)Technology Analysis and Strategic Management (1 paper)Technovation (1 paper)International Journal of Information Management (1 paper)
- Partner nations
- Taiwan
In The Last Decade
Peng-Ting Chen
8 papers receiving 397 citations
Peers
Comparison fields: 5 of 88
- Information Systems and Management 131
- Marketing 88
- Management Information Systems 73
- Health Information Management 33
- Communication 32
Countries citing papers authored by Peng-Ting Chen
This map shows the geographic impact of Peng-Ting Chen'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 Peng-Ting Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng-Ting Chen more than expected).
Fields of papers citing papers by Peng-Ting Chen
This network shows the impact of papers produced by Peng-Ting Chen. 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 Peng-Ting Chen. The network helps show where Peng-Ting Chen may publish in the future.
Co-authors
The 8 scholars most cited alongside Peng-Ting Chen, 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 | 2020 | 134 | |
| 2 | 2011 | 116 | |
| 3 | 2017 | 102 | |
| 4 | 2020 | 31 | |
| 5 | 2003 | 13 | |
| 6 | 2014 | 11 | |
| 7 | 2020 | 7 | |
| 8 | 2025 | 3 |
About Peng-Ting Chen
Peng-Ting Chen is a scholar working on Management Information Systems, Health Information Management, Sociology and Political Science, Information Systems and Management and Communication, having authored 8 papers that have together received 417 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (2 papers), Technology Adoption and User Behaviour (2 papers), Big Data and Business Intelligence (2 papers), Hearing Loss and Rehabilitation (1 paper), Artificial Intelligence in Healthcare (1 paper), Wireless Networks and Protocols (1 paper), Knowledge Management and Sharing (1 paper) and IPv6, Mobility, Handover, Networks, Security (1 paper). The work is most often cited by research in Information Systems and Management (131 citations), Marketing (88 citations), Management Information Systems (73 citations), Health Information Management (33 citations) and Communication (32 citations). Peng-Ting Chen has collaborated with scholars based in Taiwan. Frequent co-authors include Chia-Li Lin, Joe Cheng, Chih‐Cheng Hsu, Chien‐Hsu Chen, Chih‐Lung Lin, Pi‐Shan Sung, Chou‐Ching K. Lin and Yi‐Chun Du. Their work appears in journals such as Sensors, Technological Forecasting and Social Change, Technology Analysis and Strategic Management, Technovation and International Journal of Information Management.
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.