Long Ma

2.2k total citations · 1 hit paper
24 papers, 1.5k citations indexed

About

Long Ma is a scholar working on Sociology and Political Science, Communication and Computer Science Applications. According to data from OpenAlex, Long Ma has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 8 papers in Communication and 8 papers in Computer Science Applications. Recurrent topics in Long Ma's work include Digital Marketing and Social Media (9 papers), Social Media and Politics (7 papers) and Online Learning and Analytics (7 papers). Long Ma is often cited by papers focused on Digital Marketing and Social Media (9 papers), Social Media and Politics (7 papers) and Online Learning and Analytics (7 papers). Long Ma collaborates with scholars based in Singapore, China and United States. Long Ma's co-authors include Chei Sian Lee, Dion Hoe‐Lian Goh, Wei Ou, Linlin Huang, Xiao Ling, Zheng Fang, Susan R. Fussell, Gerhard Schrotter, Tao Zhou and Xinqi Liu and has published in prestigious journals such as Computers in Human Behavior, Remote Sensing and Journal of the Association for Information Systems.

In The Last Decade

Long Ma

23 papers receiving 1.4k 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.

News sharing in social media: The effect of gratifications and prior experience

2011 907 citations Chei Sian Lee, Long Ma Computers in Human Behavior profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Long Ma Singapore	11	994	590	359	185	184	24	1.5k
Alyson L. Young United States	11	1.2k 1.2×	566 1.0×	286 0.8×	153 0.8×	79 0.4×	26	1.6k
Catherine M. Ridings United States	10	1.5k 1.5×	1.0k 1.7×	840 2.3×	85 0.5×	288 1.6×	14	2.1k
Louisa Ha United States	22	1.3k 1.3×	566 1.0×	461 1.3×	114 0.6×	595 3.2×	96	2.0k
Jennette Lovejoy United States	8	945 1.0×	447 0.8×	213 0.6×	116 0.6×	70 0.4×	12	1.3k
Hui‐Min Lai Taiwan	16	546 0.5×	549 0.9×	483 1.3×	250 1.4×	76 0.4×	26	1.3k
Catherine Dwyer United States	11	915 0.9×	365 0.6×	359 1.0×	79 0.4×	85 0.5×	34	1.2k
Joseph Schmitz United States	10	815 0.8×	809 1.4×	520 1.4×	101 0.5×	127 0.7×	12	1.5k
Mingli Zhang China	10	849 0.9×	143 0.2×	446 1.2×	114 0.6×	458 2.5×	16	1.3k
Marika Lüders Norway	15	706 0.7×	458 0.8×	119 0.3×	61 0.3×	109 0.6×	40	1.1k
Hyunjin Kang Singapore	21	688 0.7×	226 0.4×	191 0.5×	109 0.6×	178 1.0×	49	1.1k

Countries citing papers authored by Long Ma

Since Specialization

Citations

This map shows the geographic impact of Long 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 Long Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Ma more than expected).

Fields of papers citing papers by Long Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long 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 Long Ma. The network helps show where Long Ma may publish in the future.

Co-authorship network of co-authors of Long Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Long Ma. A scholar is included among the top collaborators of Long 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 Long Ma. Long 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:

20 of 20 papers shown

1.

Ma, Long, et al.. (2025). Why are people reluctant to use metaverse products? Investigating barriers based on innovation resistance theory. Online Information Review. 4 indexed citations

2.

Lee, Chei Sian, et al.. (2024). Doing good for others or self: A study of crowdsourced translation on digital labor platforms. Computers in Human Behavior Reports. 13. 100373–100373.

3.

Ma, Long, et al.. (2024). Improving YOLOv7 for Large Target Classroom Behavior Recognition of Teachers in Smart Classroom Scenarios. Electronics. 13(18). 3726–3726. 1 indexed citations

4.

Ma, Long & Chei Sian Lee. (2023). Leveraging MOOCs for learners in economically disadvantaged regions. Education and Information Technologies. 28(9). 12243–12268. 8 indexed citations

5.

Ma, Long, et al.. (2023). Investigating young adults' use of Internet credit services: A reflective‐impulsive dual‐process model. International Journal of Consumer Studies. 47(4). 1434–1448. 3 indexed citations

6.

Huang, Linlin & Long Ma. (2023). A protective buffer or a double-edged sword? Investigating the effect of “parasocial guanxi” on consumers’ complaint intention in live streaming commerce. Computers in Human Behavior. 151. 108022–108022. 14 indexed citations

7.

Ma, Long, Wei Ou, & Chei Sian Lee. (2022). Investigating consumers’ cognitive, emotional, and behavioral engagement in social media brand pages: A natural language processing approach. Electronic Commerce Research and Applications. 54. 101179–101179. 26 indexed citations

8.

Ma, Long & Chei Sian Lee. (2021). Evaluating the effectiveness of blended learning using the ARCS model. Journal of Computer Assisted Learning. 37(5). 1397–1408. 77 indexed citations

9.

Ma, Long & Chei Sian Lee. (2020). Drivers and barriers to MOOC adoption: perspectives from adopters and non-adopters. Online Information Review. 44(3). 671–684. 38 indexed citations

10.

Ma, Long & Chei Sian Lee. (2018). Investigating the adoption of MOOCs: A technology–user–environment perspective. Journal of Computer Assisted Learning. 35(1). 89–98. 95 indexed citations

11.

Ma, Long & Chei Sian Lee. (2018). Understanding the Barriers to the Use of MOOCs in a Developing Country: An Innovation Resistance Perspective. Journal of Educational Computing Research. 57(3). 571–590. 122 indexed citations

12.

Ma, Long & Chei Sian Lee. (2017). Investigating the Use of MOOCs: An Innovation Adoption Perspective. Journal of the Association for Information Systems. 29. 4 indexed citations

13.

Ma, Long & Chei Sian Lee. (2017). Exploring Barriers underlying College Students' Adoption of MOOCs. 92–96. 3 indexed citations

14.

Ma, Long, Chei Sian Lee, & Dion Hoe‐Lian Goh. (2014). Understanding news sharing in social media. Online Information Review. 38(5). 598–615. 109 indexed citations

15.

Ma, Long, Chei Sian Lee, & Dion Hoe‐Lian Goh. (2013). Investigating influential factors influencing users to share news in social media. 403–404. 6 indexed citations

16.

Ma, Long, Chei Sian Lee, & Dion Hoe‐Lian Goh. (2013). Understanding News Sharing in Social Media from the Diffusion of Innovations Perspective. 1013–1020. 17 indexed citations

17.

Ma, Long, Chei Sian Lee, & Dion Hoe‐Lian Goh. (2012). Sharing in Social News Websites: Examining the Influence of News Attributes and News Sharers. DR-NTU (Nanyang Technological University). 10. 726–731. 6 indexed citations

18.

Ma, Long, Chei Sian Lee, & Dion Hoe‐Lian Goh. (2011). That's news to me. 141–144. 28 indexed citations

19.

Lee, Chei Sian & Long Ma. (2011). News sharing in social media: The effect of gratifications and prior experience. Computers in Human Behavior. 28(2). 331–339. 907 indexed citations breakdown →

20.

Ma, Long. (2009). Analysis on the Employment Situation of College Graduates. 1 indexed citations

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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