Miaomiao Wen

1.5k total citations
35 papers, 920 citations indexed

About

Miaomiao Wen is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Miaomiao Wen has authored 35 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 13 papers in Computer Science Applications and 6 papers in Developmental and Educational Psychology. Recurrent topics in Miaomiao Wen's work include Online Learning and Analytics (12 papers), Sentiment Analysis and Opinion Mining (9 papers) and Speech Recognition and Synthesis (7 papers). Miaomiao Wen is often cited by papers focused on Online Learning and Analytics (12 papers), Sentiment Analysis and Opinion Mining (9 papers) and Speech Recognition and Synthesis (7 papers). Miaomiao Wen collaborates with scholars based in United States, Japan and China. Miaomiao Wen's co-authors include Carolyn Penstein Rosé, Diyi Yang, Yunfang Wu, Xu Wang, Kenneth R. Koedinger, Xu Wang, Robert E. Kraut, Iris Howley, Jennifer Zoltners Sherer and Lauren Β. Resnick and has published in prestigious journals such as The International Review of Research in Open and Distributed Learning, Genetic Resources and Crop Evolution and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Miaomiao Wen

35 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miaomiao Wen United States 16 580 391 253 184 117 35 920
Zhi Liu China 17 319 0.6× 267 0.7× 233 0.9× 179 1.0× 122 1.0× 55 765
Maren Scheffel Germany 18 801 1.4× 219 0.6× 367 1.5× 303 1.6× 179 1.5× 56 1.1k
Chih‐Yueh Chou Taiwan 17 347 0.6× 306 0.8× 345 1.4× 411 2.2× 222 1.9× 52 947
Collin Lynch United States 14 543 0.9× 519 1.3× 220 0.9× 443 2.4× 167 1.4× 91 1.0k
Rianne Conijn Netherlands 11 417 0.7× 171 0.4× 351 1.4× 188 1.0× 135 1.2× 29 784
Paula De Barba Australia 12 758 1.3× 156 0.4× 454 1.8× 228 1.2× 119 1.0× 31 1.0k
Matthew Berland United States 12 617 1.1× 428 1.1× 171 0.7× 432 2.3× 192 1.6× 44 1.2k
Dan Davis Netherlands 12 508 0.9× 133 0.3× 452 1.8× 365 2.0× 139 1.2× 29 930
Lori Breslow United States 8 806 1.4× 131 0.3× 562 2.2× 191 1.0× 147 1.3× 17 1.1k
Mohammad Khalil Norway 18 722 1.2× 232 0.6× 371 1.5× 256 1.4× 207 1.8× 82 1.1k

Countries citing papers authored by Miaomiao Wen

Since Specialization
Citations

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

Fields of papers citing papers by Miaomiao Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miaomiao Wen

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

All Works

20 of 20 papers shown
1.
Wang, Xu, Miaomiao Wen, & Carolyn Penstein Rosé. (2017). Contrasting Explicit and Implicit Support for Transactive Exchange in Team Oriented Project Based Learning. Computer Supported Collaborative Learning. 13 indexed citations
2.
Wen, Miaomiao, et al.. (2016). Transactivity as a Predictor of Future Collaborative Knowledge Integration in Team-Based Learning in Online Courses.. Educational Data Mining. 533–538. 9 indexed citations
3.
Wang, Xu, Miaomiao Wen, & Carolyn Penstein Rosé. (2016). Towards triggering higher-order thinking behaviors in MOOCs. 398–407. 50 indexed citations
4.
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
5.
Wang, Xu, Diyi Yang, Miaomiao Wen, Kenneth R. Koedinger, & Carolyn Penstein Rosé. (2015). Investigating How Student's Cognitive Behavior in MOOC Discussion Forums Affect Learning Gains.. Educational Data Mining. 226–233. 90 indexed citations
6.
Wen, Miaomiao, Nancy K. Baym, Omer Tamuz, et al.. (2015). OMG UR Funny! Computer-Aided Humor with an Application to Chat. ICCC. 86–93. 15 indexed citations
7.
Yang, Diyi, Miaomiao Wen, Iris Howley, Robert E. Kraut, & Carolyn Penstein Rosé. (2015). Exploring the Effect of Confusion in Discussion Forums of Massive Open Online Courses. 121–130. 76 indexed citations
8.
Jang, Hyeju, Miaomiao Wen, & Carolyn Penstein Rosé. (2015). Effects of Situational Factors on Metaphor Detection in an Online Discussion Forum. 1–10. 2 indexed citations
9.
Yang, Diyi, Miaomiao Wen, & Carolyn Penstein Rosé. (2015). Weakly Supervised Role Identification in Teamwork Interactions. 1671–1680. 19 indexed citations
10.
Wen, Miaomiao, Diyi Yang, & Carolyn Penstein Rosé. (2014). Sentiment Analysis in MOOC Discussion Forums: What does it tell us?. Educational Data Mining. 130–137. 189 indexed citations
11.
Yang, Diyi, Miaomiao Wen, & Carolyn Penstein Rosé. (2014). Peer Influence on Attrition in Massively Open Online Courses.. Educational Data Mining. 405–406. 24 indexed citations
12.
Rosé, Carolyn Penstein, Ryan G. Carlson, Diyi Yang, et al.. (2014). Social factors that contribute to attrition in MOOCs. 197–198. 94 indexed citations
13.
Wen, Miaomiao, Zeyu Zheng, Hyeju Jang, Guang Xiang, & Carolyn Penstein Rosé. (2013). Extracting Events with Informal Temporal References in Personal Histories in Online Communities. Meeting of the Association for Computational Linguistics. 836–842. 9 indexed citations
14.
Bai, Chengke, et al.. (2013). Genetic diversity and sampling strategy of Scutellaria baicalensis germplasm resources based on ISSR. Genetic Resources and Crop Evolution. 60(5). 1673–1685. 19 indexed citations
15.
Wen, Miaomiao, et al.. (2012). Analysis and Evaluation on Genetic Diversity of Scutellaria baicalensis G. by ISSR Markers. Zhiwu yanjiu. 32(1). 32. 1 indexed citations
16.
Mayfield, Elijah, Miaomiao Wen, Mitch Golant, & Carolyn Penstein Rosé. (2012). Discovering habits of effective online support group chatrooms. 263–272. 7 indexed citations
17.
Wang, Miaomiao, Miaomiao Wen, Keikichi Hirose, & Nobuaki Minematsu. (2012). Emotional voice conversion for Mandarin using tone nucleus model – small corpus and high efficiency. 163–166. 2 indexed citations
18.
Wang, Miaomiao, et al.. (2010). Improved generation of prosodic features in HMM-based Mandarin speech synthesis.. SSW. 359–364. 2 indexed citations
19.
Wang, Miaomiao, Miaomiao Wen, Keikichi Hirose, & Nobuaki Minematsu. (2010). A method for modeling and generating Mandarin tone contour with phrase intonation based on the generation process model. e85 d. 153–156. 1 indexed citations
20.
Wen, Miaomiao, Miaomiao Wang, Keikichi Hirose, & Nobuaki Minematsu. (2010). Improving Mandarin segmental duration prediction with automatically extracted syntax features. 2178–2181. 3 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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