Miaoting Cheng
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
Papers in
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- Teaching and Learning Programming 5
- Online Learning and Analytics 4
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- Technology Adoption and User Behaviour 7
- Journals
- Educational Technology Research and Development (4 papers)Education and Information Technologies (3 papers)International Journal of Environmental Research and Public Health (1 paper)New Media & Society (1 paper)Journal of Computer Assisted Learning (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Miaoting Cheng
20 papers receiving 760 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Health Informatics 122
- Computer Science Applications 285
- Information Systems and Management 121
- Information Systems 170
- Communication 50
Countries citing papers authored by Miaoting Cheng
This map shows the geographic impact of Miaoting 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 Miaoting Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miaoting Cheng more than expected).
Fields of papers citing papers by Miaoting Cheng
This network shows the impact of papers produced by Miaoting 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 Miaoting Cheng. The network helps show where Miaoting Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Miaoting 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 10 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 0 | |
| 11 | Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education Hit paper breakdown → | 2022 | 507 |
| 12 | 2022 | 12 | |
| 13 | 2022 | 13 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 23 | |
| 16 | 2019 | 38 | |
| 17 | 2019 | 18 | |
| 18 | 2018 | 100 | |
| 19 | 2017 | 10 | |
| 20 | 2016 | 38 |
About Miaoting Cheng
Miaoting Cheng is a scholar working on Computer Science Applications, Information Systems and Management, Communication, Health Informatics and Developmental and Educational Psychology, having authored 22 papers that have together received 815 indexed citations. Recurring topics across this work include Impact of Technology on Adolescents (10 papers), Technology Adoption and User Behaviour (7 papers), Child Development and Digital Technology (5 papers), Teaching and Learning Programming (5 papers), Online Learning and Analytics (4 papers), Online and Blended Learning (4 papers), Knowledge Management and Sharing (4 papers) and Healthcare Policy and Management (2 papers). The work is most often cited by research in Health Informatics (122 citations), Computer Science Applications (285 citations), Information Systems and Management (121 citations), Information Systems (170 citations) and Communication (50 citations). Miaoting Cheng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Thomas K. F. Chiu, Ching Sing Chai, Xinyan Zhou, Qi Xia, Allan H. K. Yuen, Jae Park, Lu Chen, Da Tao, Wen-Kai Li and Sha Xie. Their work appears in journals such as Educational Technology Research and Development, Education and Information Technologies, International Journal of Environmental Research and Public Health, New Media & Society and Journal of Computer Assisted Learning.
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.