Chaojun Ma
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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- International Student and Expatriate Challenges 1
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- Climate Change Communication and Perception 1
- Co-authors
- Guangxiang Liu (5 shared papers)Ron Darvin (2 shared papers)Jie Bao (1 shared paper)Jiaying Wang (1 shared paper)
- Journals
- Computer Assisted Language Learning (2 papers)Language and Dialogue (1 paper)English Today (1 paper)Innovation in Language Learning and Teaching (1 paper)Computers in Human Behavior (1 paper)
- Partner nations
- Hong KongCanadaUnited Kingdom
In The Last Decade
Chaojun Ma
6 papers receiving 469 citations
Chaojun Ma's Hit Papers
Peers
Comparison fields: 5 of 44
- Health Informatics 94
- Computer Science Applications 151
- Information Systems and Management 74
- Language and Linguistics 65
- Artificial Intelligence 179
Countries citing papers authored by Chaojun Ma
This map shows the geographic impact of Chaojun Ma'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 Chaojun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaojun Ma more than expected).
Fields of papers citing papers by Chaojun Ma
This network shows the impact of papers produced by Chaojun Ma. 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 Chaojun Ma. The network helps show where Chaojun Ma may publish in the future.
Co-authors
The 4 scholars most cited alongside Chaojun Ma, 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 | Measuring EFL learners’ use of ChatGPT in informal digital learning of English based on the technology acceptance model Hit paper breakdown → | 2023 | 263 |
| 2 | Exploring AI-mediated informal digital learning of English (AI-IDLE): a mixed-method investigation of Chinese EFL learners’ AI adoption and experiences Hit paper breakdown → | 2024 | 106 |
| 3 | Unpacking the role of motivation and enjoyment in AI-mediated informal digital learning of English (AI-IDLE): A mixed-method investigation in the Chinese context Hit paper breakdown → | 2024 | 64 |
| 4 | Toward a model of informal digital learning of English and intercultural competence: a large-scale structural equation modeling approach Hit paper breakdown → | 2023 | 43 |
| 5 | 2023 | 10 | |
| 6 | 2025 | 1 |
About Chaojun Ma
Chaojun Ma is a scholar working on Communication, Sociology and Political Science, Literature and Literary Theory, Artificial Intelligence and Computer Science Applications, having authored 6 papers that have together received 487 indexed citations. Recurring topics across this work include Online Learning and Analytics (2 papers), AI in Service Interactions (2 papers), Second Language Learning and Teaching (2 papers), Linguistic Variation and Morphology (1 paper), Technology-Enhanced Education Studies (1 paper), International Student and Expatriate Challenges (1 paper), Technology Adoption and User Behaviour (1 paper) and Climate Change Communication and Perception (1 paper). The work is most often cited by research in Health Informatics (94 citations), Computer Science Applications (151 citations), Information Systems and Management (74 citations), Language and Linguistics (65 citations) and Artificial Intelligence (179 citations). Chaojun Ma has collaborated with scholars based in Hong Kong, Canada and United Kingdom. Frequent co-authors include Guangxiang Liu, Ron Darvin, Jie Bao and Jiaying Wang. Their work appears in journals such as Computer Assisted Language Learning, Language and Dialogue, English Today, Innovation in Language Learning and Teaching and Computers in Human Behavior.
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.