Chaojun Ma

766 total citations · 4 hit papers
6 papers, 487 citations indexed

About

Chaojun Ma is a scholar working on Communication, Sociology and Political Science and Literature and Literary Theory. According to data from OpenAlex, Chaojun Ma has authored 6 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Communication, 2 papers in Sociology and Political Science and 2 papers in Literature and Literary Theory. Recurrent topics in Chaojun Ma's work include Online Learning and Analytics (2 papers), Second Language Learning and Teaching (2 papers) and AI in Service Interactions (2 papers). Chaojun Ma is often cited by papers focused on Online Learning and Analytics (2 papers), Second Language Learning and Teaching (2 papers) and AI in Service Interactions (2 papers). Chaojun Ma collaborates with scholars based in Hong Kong, Canada and United Kingdom. Chaojun Ma's co-authors include Guangxiang Liu, Ron Darvin, Jie Bao and Jiaying Wang and has published in prestigious journals such as Computers in Human Behavior, Computer Assisted Language Learning and Innovation in Language Learning and Teaching.

In The Last Decade

Chaojun Ma

6 papers receiving 469 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Measuring EFL learners’ use of ChatGPT in informal digital learning of English based on the technology acceptance model

2023 263 citations Guangxiang Liu, Chaojun Ma Innovation in Language Learning and Teaching profile →
Exploring AI-mediated informal digital learning of English (AI-IDLE): a mixed-method investigation of Chinese EFL learners’ AI adoption and experiences

2024 106 citations Guangxiang Liu, Ron Darvin et al. Computer Assisted Language Learning profile →
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

2024 64 citations Guangxiang Liu, Ron Darvin et al. Computers in Human Behavior profile →
Toward a model of informal digital learning of English and intercultural competence: a large-scale structural equation modeling approach

2023 43 citations Guangxiang Liu, Chaojun Ma et al. Computer Assisted Language Learning profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chaojun Ma Hong Kong	5	179	151	94	90	83	6	487
Dongkwang Shin South Korea	11	245 1.4×	124 0.8×	55 0.6×	99 1.1×	116 1.4×	40	526
Marzuki Marzuki Indonesia	8	187 1.0×	161 1.1×	159 1.7×	135 1.5×	202 2.4×	65	644
Lin Yu-peng China	8	115 0.6×	96 0.6×	66 0.7×	55 0.6×	75 0.9×	14	342
Mohammad Awad AlAfnan Kuwait	9	160 0.9×	79 0.5×	181 1.9×	39 0.4×	34 0.4×	36	460
Azzeddine Boudouaia China	9	72 0.4×	89 0.6×	57 0.6×	52 0.6×	53 0.6×	22	253
Chunping Zheng China	12	73 0.4×	126 0.8×	16 0.2×	135 1.5×	316 3.8×	22	614
Nasrin Pervin Bangladesh	5	62 0.3×	87 0.6×	71 0.8×	47 0.5×	75 0.9×	12	317
Prodhan Mahbub Ibna Seraj Bangladesh	12	62 0.3×	51 0.3×	22 0.2×	106 1.2×	199 2.4×	34	436
Huanhuan Wang China	14	78 0.4×	162 1.1×	34 0.4×	86 1.0×	203 2.4×	28	432
Xinjie Deng China	4	108 0.6×	96 0.6×	55 0.6×	41 0.5×	50 0.6×	8	269

Countries citing papers authored by Chaojun Ma

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chaojun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Chaojun Ma. A scholar is included among the top collaborators of Chaojun Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chaojun Ma. Chaojun Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Wang, Jiaying, et al.. (2025). Self-mentions and stakeholders in climate change discourse. Language and Dialogue. 15(1). 56–80. 1 indexed citations

2.

Liu, Guangxiang, Ron Darvin, & Chaojun Ma. (2024). 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. Computers in Human Behavior. 160. 108362–108362. 64 indexed citations breakdown →

3.

Liu, Guangxiang, Ron Darvin, & Chaojun Ma. (2024). Exploring AI-mediated informal digital learning of English (AI-IDLE): a mixed-method investigation of Chinese EFL learners’ AI adoption and experiences. Computer Assisted Language Learning. 38(7). 1632–1660. 106 indexed citations breakdown →

4.

Liu, Guangxiang & Chaojun Ma. (2023). English in a rural linguistic landscape of globalizing China. English Today. 40(1). 62–69. 10 indexed citations

5.

Liu, Guangxiang, et al.. (2023). Toward a model of informal digital learning of English and intercultural competence: a large-scale structural equation modeling approach. Computer Assisted Language Learning. 38(3). 342–368. 43 indexed citations breakdown →

6.

Liu, Guangxiang & Chaojun Ma. (2023). Measuring EFL learners’ use of ChatGPT in informal digital learning of English based on the technology acceptance model. Innovation in Language Learning and Teaching. 18(2). 125–138. 263 indexed citations breakdown →

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.

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