Jin Mao

673 total citations · 1 hit paper
11 papers, 402 citations indexed

About

Jin Mao is a scholar working on Developmental and Educational Psychology, Information Systems and Education. According to data from OpenAlex, Jin Mao has authored 11 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Developmental and Educational Psychology, 3 papers in Information Systems and 3 papers in Education. Recurrent topics in Jin Mao's work include Innovative Teaching and Learning Methods (2 papers), Education and Learning Interventions (2 papers) and Gender and Technology in Education (2 papers). Jin Mao is often cited by papers focused on Innovative Teaching and Learning Methods (2 papers), Education and Learning Interventions (2 papers) and Gender and Technology in Education (2 papers). Jin Mao collaborates with scholars based in United States, Italy and Germany. Jin Mao's co-authors include Baiyun Chen, Juhong Liu, Stephen A. Sivo, Kyle L. Peck, Gian Paolo Rossi, Dirk Ifenthaler, Enilda Romero‐Hall, Thomas C. Reeves, Tutaleni I. Asino and Bryan Roche and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Educational Technology Research and Development.

In The Last Decade

Jin Mao

8 papers receiving 374 citations

Hit Papers

Generative Artificial Intelligence in Education and Its I... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Mao United States 6 191 131 115 86 51 11 402
Gila Kurtz Israel 9 189 1.0× 127 1.0× 79 0.7× 68 0.8× 68 1.3× 20 329
Ahlam Mohammed Al-Abdullatif Saudi Arabia 13 163 0.9× 71 0.5× 108 0.9× 109 1.3× 40 0.8× 25 419
Abdulrahman M. Al-Zahrani Saudi Arabia 9 349 1.8× 66 0.5× 128 1.1× 125 1.5× 53 1.0× 21 614
Kumar Laxman New Zealand 9 192 1.0× 78 0.6× 96 0.8× 46 0.5× 57 1.1× 41 404
Selcan Kilis Türkiye 10 254 1.3× 82 0.6× 89 0.8× 79 0.9× 109 2.1× 23 419
Vo Ngoc Hoi Australia 8 186 1.0× 98 0.7× 113 1.0× 50 0.6× 64 1.3× 18 403
Habibah Ab Jalil Malaysia 12 299 1.6× 57 0.4× 130 1.1× 107 1.2× 96 1.9× 68 502
Sijia Xue China 7 136 0.7× 60 0.5× 82 0.7× 42 0.5× 45 0.9× 18 279
Francisco-Javier Hinojo-Lucena Spain 5 91 0.5× 108 0.8× 64 0.6× 113 1.3× 26 0.5× 7 365

Countries citing papers authored by Jin Mao

Since Specialization
Citations

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

Fields of papers citing papers by Jin Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Mao. A scholar is included among the top collaborators of Jin Mao 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 Jin Mao. Jin Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Stefaniak, Jill E., et al.. (2025). A systems thinking perspective on learning design in higher education. Journal of Computing in Higher Education. 37(2). 657–678.
3.
Mao, Jin, Enilda Romero‐Hall, & Thomas C. Reeves. (2023). Autoethnography as a research method for educational technology: a reflective discourse. Educational Technology Research and Development. 72(5). 2725–2741. 7 indexed citations
4.
Mao, Jin, Baiyun Chen, & Juhong Liu. (2023). Generative Artificial Intelligence in Education and Its Implications for Assessment. TechTrends. 68(1). 58–66. 105 indexed citations breakdown →
5.
Mao, Jin, et al.. (2022). Teaching and Learning After the COVID-19 Pandemic: A Reflection on the Challenges and Opportunities. SHILAP Revista de lepidopterología. 14(2). I–II. 1 indexed citations
6.
Mao, Jin, et al.. (2019). National Policies and Educational Technology: a Synopsis of Trends and Perspectives from Five Countries. TechTrends. 63(3). 284–293. 19 indexed citations
7.
Mao, Jin. (2014). Social media for learning: A mixed methods study on high school students’ technology affordances and perspectives. Computers in Human Behavior. 33. 213–223. 219 indexed citations
8.
Mao, Jin & Kyle L. Peck. (2013). Assessment Strategies, Self-Regulated Learning Skills, and Perceptions of Assessment in Online Learning. Quarterly review of distance education. 14(2). 75–95. 13 indexed citations
9.
Chen, Baiyun, et al.. (2013). User Acceptance of Mobile Technology: A Campus-Wide Implementation of Blackboard's Mobile™ Learn Application. Journal of Educational Computing Research. 49(3). 327–343. 36 indexed citations
10.
Mao, Jin. (2008). The effects of assessment strategies and self -regulated learning (SRL) skills on college students' skill-based and cognitive learning outcomes and perceptions of assessment for learning.
11.
Mao, Jin, et al.. (2007). ARCS Model and Instructional Design for Adult Learners in Online Learning Environment. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2007(1). 1692–1695. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026