Runyu Chen
Impact in
- Marketing top 10%
- Consumer Market Behavior and Pricing
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- Technology Adoption and User Behaviour
Papers in
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- Digital Marketing and Social Media 7
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- Blockchain Technology Applications and Security 5
- Recommender Systems and Techniques 3
- Co-authors
- Wei Xu (10 shared papers)Qili Wang (2 shared papers)Weiwei Xu (3 shared papers)Liang Li (4 shared papers)Linxing Meng (4 shared papers)Zhan Yang (2 shared papers)Ying Cao (1 shared paper)Jiayue Wang (2 shared papers)
- Journals
- Decision Support Systems (4 papers)Information Processing & Management (3 papers)GeoInformatica (1 paper)Information Sciences (1 paper)Redox Biology (1 paper)
- Partner nations
- China
In The Last Decade
Runyu Chen
23 papers receiving 459 citations
Peers
Comparison fields: 5 of 85
- Marketing 84
- Information Systems and Management 48
- Management Information Systems 45
- Renewable Energy, Sustainability and the Environment 68
- Information Systems 90
Countries citing papers authored by Runyu Chen
This map shows the geographic impact of Runyu 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 Runyu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runyu Chen more than expected).
Fields of papers citing papers by Runyu Chen
This network shows the impact of papers produced by Runyu 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 Runyu Chen. The network helps show where Runyu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Runyu 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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 47 | |
| 2 | 2023 | 38 | |
| 3 | 2023 | 36 | |
| 4 | 2023 | 35 | |
| 5 | 2019 | 34 | |
| 6 | 2024 | 33 | |
| 7 | 2021 | 33 | |
| 8 | 2017 | 32 | |
| 9 | 2016 | 30 | |
| 10 | 2022 | 25 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2022 | 17 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2022 | 13 | |
| 17 | 2022 | 8 | |
| 18 | 2024 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2021 | 4 |
About Runyu Chen
Runyu Chen is a scholar working on Sociology and Political Science, Information Systems, Artificial Intelligence, Materials Chemistry and Renewable Energy, Sustainability and the Environment, having authored 28 papers that have together received 469 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (7 papers), Blockchain Technology Applications and Security (5 papers), Advanced Photocatalysis Techniques (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Recommender Systems and Techniques (3 papers), Copper-based nanomaterials and applications (3 papers), Consumer Market Behavior and Pricing (3 papers) and Luminescence Properties of Advanced Materials (2 papers). The work is most often cited by research in Marketing (84 citations), Information Systems and Management (48 citations), Management Information Systems (45 citations), Renewable Energy, Sustainability and the Environment (68 citations) and Information Systems (90 citations). Runyu Chen has collaborated with scholars based in China. Frequent co-authors include Wei Xu, Qili Wang, Weiwei Xu, Liang Li, Linxing Meng, Zhan Yang, Ying Cao, Jiayue Wang, Xiaohan Zhang and Yu Wang. Their work appears in journals such as Decision Support Systems, Information Processing & Management, GeoInformatica, Information Sciences and Redox Biology.
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.