Bo Pei

503 total citations
20 papers, 348 citations indexed

About

Bo Pei is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Bo Pei has authored 20 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Science Applications, 7 papers in Developmental and Educational Psychology and 6 papers in Artificial Intelligence. Recurrent topics in Bo Pei's work include Online Learning and Analytics (11 papers), Innovative Teaching and Learning Methods (5 papers) and Intelligent Tutoring Systems and Adaptive Learning (5 papers). Bo Pei is often cited by papers focused on Online Learning and Analytics (11 papers), Innovative Teaching and Learning Methods (5 papers) and Intelligent Tutoring Systems and Adaptive Learning (5 papers). Bo Pei collaborates with scholars based in United States, Canada and Germany. Bo Pei's co-authors include Wanli Xing, Hengtao Tang, Minjuan Wang, Gaoxia Zhu, Marlene Scardamalia, Hanxiang Du, Jie Lü, Xiping Jing, Hee‐Sun Lee and Charles Xie and has published in prestigious journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, The Internet and Higher Education and British Journal of Educational Technology.

In The Last Decade

Bo Pei

18 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bo Pei United States	11	214	128	106	90	44	20	348
Yoshiko Goda Japan	9	143 0.7×	167 1.3×	159 1.5×	85 0.9×	65 1.5×	42	403
David Arnau Spain	11	103 0.5×	88 0.7×	95 0.9×	154 1.7×	44 1.0×	33	314
Alina von Davier United States	10	88 0.4×	87 0.7×	148 1.4×	114 1.3×	43 1.0×	27	318
Shaveen Singh Australia	13	331 1.5×	179 1.4×	273 2.6×	145 1.6×	54 1.2×	30	490
Linlin Hu China	10	343 1.6×	76 0.6×	193 1.8×	43 0.5×	68 1.5×	18	430
Michael Pin-Chuan Lin Canada	8	151 0.7×	67 0.5×	96 0.9×	137 1.5×	50 1.1×	11	303
C.A.N. Knoop-van Campen Netherlands	9	117 0.5×	148 1.2×	147 1.4×	49 0.5×	39 0.9×	20	342
Danhua Zhou China	10	317 1.5×	77 0.6×	179 1.7×	36 0.4×	57 1.3×	19	408
Andrew Emerson United States	10	148 0.7×	47 0.4×	129 1.2×	89 1.0×	34 0.8×	17	259
Carol Forsyth United States	10	99 0.5×	102 0.8×	239 2.3×	147 1.6×	35 0.8×	21	388

Countries citing papers authored by Bo Pei

Since Specialization

Citations

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

Fields of papers citing papers by Bo Pei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Pei

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

All Works

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20 of 20 papers shown

Pei, Bo, Jie Lü, & Xiping Jing. (2025). Empowering preservice teachers’ AI literacy: Current understanding, influential factors, and strategies for improvement. Computers and Education Artificial Intelligence. 8. 100406–100406. 11 indexed citations

Zhang, Yuqing, et al.. (2025). Tripod-structured PdCuB ternary catalyst: Synergistic enhancement of electrocatalytic performance for formic acid oxidation reaction. Colloids and Surfaces A Physicochemical and Engineering Aspects. 726. 138059–138059.

Du, Hanxiang, et al.. (2025). Live Coding Prompts Engagement, But Not Necessarily Grades. 283–289.

Pei, Bo, et al.. (2024). LearningViz: a dashboard for visualizing, analyzing and closing learning performance gaps—a case study approach. Smart Learning Environments. 11(1). 1 indexed citations

Cheng, Ying, et al.. (2024). Commentary: A Data‐Driven Analysis of Recent Job Posts to Evaluate the Foundational Competencies. Educational Measurement Issues and Practice. 1 indexed citations

Xing, Wanli, et al.. (2024). The dynamics of role evolution in online learning communities. Distance Education. 46(4). 574–598. 2 indexed citations

Huang, Rui, et al.. (2024). The Efficacy of Artificial Intelligence-Enabled Adaptive Learning Systems From 2010 to 2022 on Learner Outcomes: A Meta-Analysis. Journal of Educational Computing Research. 62(6). 1348–1383. 23 indexed citations

Pei, Bo, et al.. (2023). Towards transparent and trustworthy prediction of student learning achievement by including instructors as co-designers: a case study. Education and Information Technologies. 29(3). 3075–3096. 9 indexed citations

Du, Hanxiang, et al.. (2022). Trends and Issues in STEM + C Research: A Bibliometric Perspective. 69–80. 2 indexed citations

10.

Pei, Bo, et al.. (2022). Integrating infrared technologies in science learning: An evidence-based reasoning perspective. Education and Information Technologies. 28(7). 8423–8443. 2 indexed citations

11.

Pei, Bo, Wanli Xing, & Minjuan Wang. (2021). Academic development of multimodal learning analytics: a bibliometric analysis. Interactive Learning Environments. 31(6). 3543–3561. 24 indexed citations

12.

Du, Hanxiang, Wanli Xing, & Bo Pei. (2021). Automatic text generation using deep learning: providing large-scale support for online learning communities. Interactive Learning Environments. 31(8). 5021–5036. 16 indexed citations

13.

Pei, Bo & Wanli Xing. (2021). An Interpretable Pipeline for Identifying At-Risk Students. Journal of Educational Computing Research. 60(2). 380–405. 16 indexed citations

14.

Xing, Wanli, Bo Pei, Shan Li, Guanhua Chen, & Charles Xie. (2019). Using learning analytics to support students’ engineering design: the angle of prediction. Interactive Learning Environments. 31(5). 2594–2611. 16 indexed citations

15.

Pei, Bo, Wanli Xing, & Hee‐Sun Lee. (2019). Using automatic image processing to analyze visual artifacts created by students in scientific argumentation. British Journal of Educational Technology. 50(6). 3391–3404. 13 indexed citations

16.

Zhu, Gaoxia, et al.. (2019). Exploring emotional and cognitive dynamics of Knowledge Building in grades 1 and 2. User Modeling and User-Adapted Interaction. 29(4). 789–820. 31 indexed citations

17.

Xing, Wanli, Hengtao Tang, & Bo Pei. (2019). Beyond positive and negative emotions: Looking into the role of achievement emotions in discussion forums of MOOCs. The Internet and Higher Education. 43. 100690–100690. 91 indexed citations

18.

Tang, Hengtao, Wanli Xing, & Bo Pei. (2018). Exploring the temporal dimension of forum participation in MOOCs. Distance Education. 39(3). 353–372. 51 indexed citations

19.

Tang, Hengtao, Wanli Xing, & Bo Pei. (2018). Time Really Matters: Understanding the Temporal Dimension of Online Learning Using Educational Data Mining. Journal of Educational Computing Research. 57(5). 1326–1347. 32 indexed citations

20.

Qiang, Yan, Bo Pei, & Juanjuan Zhao. (2014). Forest Fire Image Intelligent Recognition based on the Neural Network. Journal of Multimedia. 9(3). 7 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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