Jin Mu

1.5k total citations
10 papers, 104 citations indexed

About

Jin Mu is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Education. According to data from OpenAlex, Jin Mu has authored 10 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Developmental and Educational Psychology, 3 papers in Artificial Intelligence and 3 papers in Education. Recurrent topics in Jin Mu's work include Innovative Teaching and Learning Methods (5 papers), Online Learning and Analytics (1 paper) and Speech and dialogue systems (1 paper). Jin Mu is often cited by papers focused on Innovative Teaching and Learning Methods (5 papers), Online Learning and Analytics (1 paper) and Speech and dialogue systems (1 paper). Jin Mu collaborates with scholars based in Germany, Hong Kong and United States. Jin Mu's co-authors include Karsten Stegmann, Frank Fischer, Carolyn Penstein Rosé, Elijah Mayfield, Stefan Ufer, Xinghua Wang, Jan van Aalst, Geetanjali D. Datta, Erin E. Kent and Yuqin Yang and has published in prestigious journals such as Cancer Epidemiology Biomarkers & Prevention, European Journal of Anaesthesiology and International Journal of Computer-Supported Collaborative Learning.

In The Last Decade

Jin Mu

9 papers receiving 97 citations

Peers

Jin Mu

DEP

EDUCA

CSA

AI

COMMU

Astrid Wichmann Germany

Joan‐Tomàs Pujolà Spain

Elena Bárcena Spain

Ana Lidia Franzoni Velázquez Mexico

Sabine Levet

Nabeel Gillani United States

Pedro Salcedo Chile

Martin Schweinberger Australia

Toru Iiyoshi United States

Jacob Steiss United States

Astrid Wichmann Germany

Jin Mu

125 ×1.9

DEP

123 ×2.7

EDUCA

44 ×1.3

CSA

12 ×0.5

AI

42 ×2.8

COMMU

Citations per year, relative to Jin Mu Jin Mu (= 1×) peers Astrid Wichmann

Countries citing papers authored by Jin Mu

Since Specialization

Citations

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

Fields of papers citing papers by Jin Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Mu

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

10 of 10 papers shown

1.

Xue, Fu‐Shan, et al.. (2025). Regional block and quality of recovery after caesarean section. European Journal of Anaesthesiology. 42(6). 573–574.

2.

Waters, Austin R., Jin Mu, Geetanjali D. Datta, et al.. (2024). Chronic Health Conditions, Disability, and Physical and Cognitive Limitations among LGBTQ+ Cancer Survivors. Cancer Epidemiology Biomarkers & Prevention. 33(11). 1405–1413. 5 indexed citations

3.

Mu, Jin, et al.. (2022). Conceptualizing and measuring instructional quality in mathematics education: A systematic literature review. Frontiers in Education. 7. 20 indexed citations

4.

Wang, Xinghua & Jin Mu. (2017). Flexible Scripting to Facilitate Knowledge Construction in Computer-supported Collaborative Learning. DIAL (Catholic University of Leuven). 5 indexed citations

5.

Aalst, Jan van, Jin Mu, & Yuqin Yang. (2016). Formative assessment of computer-supported collaborative learning and knowledge building. Data Archiving and Networked Services (DANS). 154–166. 4 indexed citations

6.

Wise, Alyssa Friend, Roger Azevedo, Karsten Stegmann, et al.. (2015). CSCL and Learning Analytics: Opportunities to Support Social Interaction, Self-Regulation and Socially Shared Regulation.. Computer Supported Collaborative Learning. 607–614. 7 indexed citations

7.

Mu, Jin, et al.. (2014). Automatic coding of questioning patterns in knowledge building discourse. The HKU Scholars Hub (University of Hong Kong). 333–340. 1 indexed citations

8.

Mu, Jin, Karsten Stegmann, & Frank Fischer. (2013). How Collaboration Scripts are Internalized: A Script Theory of Guidance Perspective.. Computer Supported Collaborative Learning. 113–116. 1 indexed citations

9.

Mu, Jin, Karsten Stegmann, Elijah Mayfield, Carolyn Penstein Rosé, & Frank Fischer. (2012). The ACODEA framework: Developing segmentation and classification schemes for fully automatic analysis of online discussions. International Journal of Computer-Supported Collaborative Learning. 7(2). 285–305. 52 indexed citations

10.

Stegmann, Karsten, et al.. (2011). The Myth of Over-scripting: Can Novices be Supported Too Much?. Computer Supported Collaborative Learning. 9 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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