Heping Xie

541 total citations
16 papers, 376 citations indexed

About

Heping Xie is a scholar working on Experimental and Cognitive Psychology, Education and Artificial Intelligence. According to data from OpenAlex, Heping Xie has authored 16 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Experimental and Cognitive Psychology, 5 papers in Education and 4 papers in Artificial Intelligence. Recurrent topics in Heping Xie's work include Visual and Cognitive Learning Processes (7 papers), Impact of Technology on Adolescents (3 papers) and Child Development and Digital Technology (3 papers). Heping Xie is often cited by papers focused on Visual and Cognitive Learning Processes (7 papers), Impact of Technology on Adolescents (3 papers) and Child Development and Digital Technology (3 papers). Heping Xie collaborates with scholars based in China, Brunei and United States. Heping Xie's co-authors include Zongkui Zhou, Fuxing Wang, Peng Ji, Qingqi Liu, Fei Tian, Richard E. Mayer, Yanbin Hao, Huashan Liu, Qingbai Zhao and Yuxin Wang and has published in prestigious journals such as PLoS ONE, Journal of Educational Psychology and Frontiers in Psychology.

In The Last Decade

Heping Xie

16 papers receiving 365 citations

Peers

Heping Xie
Eric E. Goff United States
David Vallett United States
Susan M. Letourneau United States
Junko Kanero Türkiye
Nora McIntyre United Kingdom
Brad Hokanson United States
Eric E. Goff United States
Heping Xie
Citations per year, relative to Heping Xie Heping Xie (= 1×) peers Eric E. Goff

Countries citing papers authored by Heping Xie

Since Specialization
Citations

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

Fields of papers citing papers by Heping Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heping Xie

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

All Works

16 of 16 papers shown
1.
Xie, Heping, et al.. (2021). Using eye movement modelling examples to guide visual attention and foster cognitive performance: A meta‐analysis. Journal of Computer Assisted Learning. 37(4). 1194–1206. 26 indexed citations
2.
Xie, Heping, et al.. (2020). Effect of the mobile phone-related background on inhibitory control of problematic mobile phone use: An event-related potentials study. Addictive Behaviors. 108. 106363–106363. 44 indexed citations
3.
Xie, Heping, et al.. (2020). Big five personality traits and problematic mobile phone use: A meta-analytic review. Current Psychology. 41(5). 3093–3110. 25 indexed citations
4.
Wang, Yanqing, et al.. (2019). 一图抵千言:多媒体学习中的自我生成绘图策略. Advances in Psychological Science. 27(4). 623–635. 2 indexed citations
5.
Xie, Heping, et al.. (2018). Can Touchscreen Devices be Used to Facilitate Young Children's Learning? A Meta-Analysis of Touchscreen Learning Effect. Frontiers in Psychology. 9. 2580–2580. 80 indexed citations
6.
Hao, Yanbin, et al.. (2018). How do autism spectrum disorders process human face? A meta-analysis of eye-tracking studies. Advances in Psychological Science. 26(1). 26–26. 5 indexed citations
7.
Xie, Heping, et al.. (2018). 诱发的积极情绪会促进多媒体学习吗?. Advances in Psychological Science. 26(10). 1818–1830. 1 indexed citations
8.
Xie, Heping, Peng Ji, & Zongkui Zhou. (2018). 注意引导和认知加工:眼动榜样样例的教学作用. Advances in Psychological Science. 26(8). 1404–1416. 1 indexed citations
9.
Xie, Heping, Zongkui Zhou, & Qingqi Liu. (2018). Null Effects of Perceptual Disfluency on Learning Outcomes in a Text-Based Educational Context: a Meta-analysis. Educational Psychology Review. 30(3). 745–771. 31 indexed citations
10.
Xie, Heping, Richard E. Mayer, Fuxing Wang, & Zongkui Zhou. (2018). Coordinating visual and auditory cueing in multimedia learning.. Journal of Educational Psychology. 111(2). 235–255. 51 indexed citations
12.
Wang, Fuxing, et al.. (2017). Is pedagogical agent in multimedia learning good for learning? A meta-analysis. Advances in Psychological Science. 25(1). 12–12. 17 indexed citations
13.
Xie, Heping, et al.. (2016). Does harder-to-read mean better-to-learn? Effects of disfluency on learning outcomes. Advances in Psychological Science. 24(7). 1077–1077. 3 indexed citations
14.
Wang, Fuxing, et al.. (2016). Using Touchscreen Tablets to Help Young Children Learn to Tell Time. Frontiers in Psychology. 7. 1800–1800. 28 indexed citations
15.
Xie, Heping, Fuxing Wang, Zongkui Zhou, & Peng Wu. (2016). Cueing effect in multimedia learning: A meta-analysis. Acta Psychologica Sinica. 48(5). 540–540. 16 indexed citations
16.
Wang, Fuxing, Heping Xie, & Hui Li. (2016). Visual text or narration? Meta-analysis of the modality effect in multimedia learning. Advances in Psychological Science. 24(3). 335–335. 5 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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