Sherry Ruan

639 total citations
11 papers, 344 citations indexed

About

Sherry Ruan is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Sherry Ruan has authored 11 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Computer Science Applications and 2 papers in Developmental and Educational Psychology. Recurrent topics in Sherry Ruan's work include Topic Modeling (6 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and AI in Service Interactions (3 papers). Sherry Ruan is often cited by papers focused on Topic Modeling (6 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and AI in Service Interactions (3 papers). Sherry Ruan collaborates with scholars based in United States, China and Canada. Sherry Ruan's co-authors include James A. Landay, Emma Brunskill, Liwei Jiang, Andrew Ng, Jacob O. Wobbrock, Glenn M. Davis, Elizabeth L. Murnane, Qianyao Xu, Zhiyuan Liu and Lakshmi Manoharan and has published in prestigious journals such as Machine Learning, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Sherry Ruan

10 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
Sherry Ruan United States	7	221	99	54	47	46	11	344
Kiavash Bahreini Netherlands	8	121 0.5×	72 0.7×	35 0.6×	42 0.9×	69 1.5×	16	318
Heather Pon-Barry United States	13	222 1.0×	61 0.6×	30 0.6×	27 0.6×	76 1.7×	34	430
Huili Chen United States	7	109 0.5×	62 0.6×	24 0.4×	23 0.5×	50 1.1×	14	264
Nasrin Dehbozorgi United States	10	78 0.4×	101 1.0×	23 0.4×	37 0.8×	38 0.8×	32	242
Jionghao Lin Australia	10	178 0.8×	117 1.2×	20 0.4×	40 0.9×	59 1.3×	26	396
Erik Harpstead United States	11	123 0.6×	160 1.6×	32 0.6×	41 0.9×	137 3.0×	40	322
Cansu Oranç Türkiye	7	118 0.5×	36 0.4×	31 0.6×	63 1.3×	55 1.2×	11	294
Gwo Dong Chen Taiwan	9	135 0.6×	108 1.1×	22 0.4×	75 1.6×	103 2.2×	20	391
James Lester United States	9	177 0.8×	161 1.6×	36 0.7×	43 0.9×	240 5.2×	17	430
Ramkumar Rajendran India	9	102 0.5×	127 1.3×	22 0.4×	38 0.8×	113 2.5×	31	268

Countries citing papers authored by Sherry Ruan

Since Specialization

Citations

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

Fields of papers citing papers by Sherry Ruan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sherry Ruan

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

11 of 11 papers shown

1.

Ruan, Sherry, Allen Nie, Meng Guo, et al.. (2024). Reinforcement learning tutor better supported lower performers in a math task. Machine Learning. 113(5). 3023–3048. 11 indexed citations

2.

Ruan, Sherry, Liwei Jiang, Qianyao Xu, et al.. (2021). EnglishBot: An AI-Powered Conversational System for Second Language Learning. 434–444. 34 indexed citations

3.

Ruan, Sherry, Wei Wei, & James A. Landay. (2021). Variational Deep Knowledge Tracing for Language Learning. 323–332.

4.

Ruan, Sherry, Anna Wang, Lily Zhou, et al.. (2020). Supporting children's math learning with feedback-augmented narrative technology. 567–580. 30 indexed citations

5.

Davis, Glenn M., et al.. (2019). Key Phrase Extraction for Generating Educational Question-Answer Pairs. 1–10. 17 indexed citations

6.

Ruan, Sherry, Qianyao Xu, Glenn M. Davis, et al.. (2019). BookBuddy. 1–4. 48 indexed citations

7.

Ruan, Sherry, et al.. (2019). QuizBot. 1–13. 106 indexed citations

8.

Ruan, Sherry, et al.. (2018). Adaptive natural-language targeting for student feedback. 1–4. 4 indexed citations

9.

Ruan, Sherry, et al.. (2018). Comparing Speech and Keyboard Text Entry for Short Messages in Two Languages on Touchscreen Phones. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 1(4). 1–23. 90 indexed citations

10.

Ruan, Sherry, et al.. (2015). Representation Discovery for MDPs Using Bisimulation Metrics. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 1 indexed citations

11.

Ruan, Sherry, et al.. (2015). Representation Discovery for MDPs Using Bisimulation Metrics. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 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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