Tingru Cui
Impact in
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- Online Learning and Analytics
- Open Source Software Innovations
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- Technology Adoption and User Behaviour
Papers in
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- Online Learning and Analytics 19
- Open Education and E-Learning 5
- E-Learning and Knowledge Management 5
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- Recommender Systems and Techniques 14
- Co-authors
- Hua Ye (4 shared papers)Hock‐Hai Teo (7 shared papers)Jizhen Li (2 shared papers)Yu Tong (5 shared papers)Jun Shen (28 shared papers)Geng Sun (25 shared papers)Shiping Chen (17 shared papers)Yi Wu (3 shared papers)
In The Last Decade
Tingru Cui
73 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 121
- Computer Science Applications 273
- Information Systems and Management 205
- Strategy and Management 262
- Communication 108
- Management Information Systems 137
Countries citing papers authored by Tingru Cui
This map shows the geographic impact of Tingru Cui'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 Tingru Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingru Cui more than expected).
Fields of papers citing papers by Tingru Cui
This network shows the impact of papers produced by Tingru Cui. 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 Tingru Cui. The network helps show where Tingru Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Tingru Cui, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 177 | |
| 2 | 2017 | 171 | |
| 3 | 2017 | 79 | |
| 4 | 2020 | 69 | |
| 5 | 2015 | 64 | |
| 6 | 1993 | 48 | |
| 7 | 2022 | 41 | |
| 8 | 2021 | 40 | |
| 9 | 2022 | 30 | |
| 10 | 2022 | 29 | |
| 11 | 2015 | 29 | |
| 12 | 2018 | 27 | |
| 13 | 2017 | 27 | |
| 14 | 2019 | 25 | |
| 15 | 2019 | 23 | |
| 16 | 2019 | 22 | |
| 17 | 2022 | 21 | |
| 18 | 2021 | 20 | |
| 19 | 2015 | 20 | |
| 20 | 2023 | 18 |
About Tingru Cui
Tingru Cui is a scholar working on Computer Science Applications, Information Systems, Artificial Intelligence, Strategy and Management and Sociology and Political Science, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Online Learning and Analytics (19 papers), Recommender Systems and Techniques (14 papers), Technology Adoption and User Behaviour (11 papers), Innovation and Knowledge Management (9 papers), Digital Marketing and Social Media (8 papers), Data Stream Mining Techniques (6 papers), Open Education and E-Learning (5 papers) and E-Learning and Knowledge Management (5 papers). The work is most often cited by research in Computer Science Applications (273 citations), Information Systems and Management (205 citations), Strategy and Management (262 citations), Communication (108 citations) and Management Information Systems (137 citations). Tingru Cui has collaborated with scholars based in Australia, China and Singapore. Frequent co-authors include Hua Ye, Hock‐Hai Teo, Jizhen Li, Yu Tong, Jun Shen, Geng Sun, Shiping Chen, Yi Wu, Yuanyue Feng and Ying Yu. Their work appears in journals such as Journal of the Association for Information Systems, Information & Management, Journal of Medical Internet Research, The Journal of Strategic Information Systems and Internet Research.
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.