Qing Tan
Impact in
- Information Systems top 2%
- Mobile Learning in Education
- Cloud Computing and Resource Management
Papers in
-
- Mobile Learning in Education 11
- Cloud Computing and Resource Management 6
- Recommender Systems and Techniques 5
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- IoT and Edge/Fog Computing 6
- Co-authors
- José R. Villar (6 shared papers)Yueh Min Huang (2 shared papers)Stephen J.H. Yang (1 shared paper)Kinshuk Kinshuk (11 shared papers)Nashwa El-Bendary (2 shared papers)Rebeca Soler Costa (3 shared papers)Yueh‐Min Huang (5 shared papers)Xiufen Zou (4 shared papers)
In The Last Decade
Qing Tan
82 papers receiving 773 citations
Peers
Comparison fields: 5 of 127
- Information Systems 342
- Computer Science Applications 53
- Computer Vision and Pattern Recognition 172
- Computer Networks and Communications 167
- Human-Computer Interaction 38
Countries citing papers authored by Qing Tan
This map shows the geographic impact of Qing Tan'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 Qing Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Tan more than expected).
Fields of papers citing papers by Qing Tan
This network shows the impact of papers produced by Qing Tan. 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 Qing Tan. The network helps show where Qing Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Tan, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Add-On Impact of Mobile Applications in Learning Strategies: A Review Study | 2010 | 163 |
| 2 | 2013 | 70 | |
| 3 | 2023 | 64 | |
| 4 | 2012 | 46 | |
| 5 | 2022 | 32 | |
| 6 | Location-Based Augmented Reality for Mobile Learning: Algorithm, System, and Implementation. | 2015 | 23 |
| 7 | 2022 | 23 | |
| 8 | 2024 | 22 | |
| 9 | 2019 | 18 | |
| 10 | 2019 | 18 | |
| 11 | 2019 | 15 | |
| 12 | 2021 | 15 | |
| 13 | 2010 | 15 | |
| 14 | 2022 | 15 | |
| 15 | 2009 | 15 | |
| 16 | 2010 | 14 | |
| 17 | 2012 | 14 | |
| 18 | 2011 | 13 | |
| 19 | 2024 | 12 | |
| 20 | 2009 | 12 |
About Qing Tan
Qing Tan is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 89 papers that have together received 839 indexed citations. Recurring topics across this work include Mobile Learning in Education (11 papers), Advanced Algorithms and Applications (8 papers), IoT and Edge/Fog Computing (6 papers), Cloud Computing and Resource Management (6 papers), Robotic Path Planning Algorithms (5 papers), Recommender Systems and Techniques (5 papers), Advanced Sensor and Control Systems (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Information Systems (342 citations), Computer Science Applications (53 citations), Computer Vision and Pattern Recognition (172 citations), Computer Networks and Communications (167 citations) and Human-Computer Interaction (38 citations). Qing Tan has collaborated with scholars based in Canada, China and Spain. Frequent co-authors include José R. Villar, Yueh Min Huang, Stephen J.H. Yang, Kinshuk Kinshuk, Nashwa El-Bendary, Rebeca Soler Costa, Yueh‐Min Huang, Xiufen Zou, Yu-Lin Jeng and Yiming Li. Their work appears in journals such as Electronics, Journal of Agricultural and Food Chemistry, Integrated Computer-Aided Engineering, Circulation and Scientia Horticulturae.
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.