Sherry Ruan

14 total papers · 632 total citations
11 papers, 338 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 338 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 Intelligent Tutoring Systems and Adaptive Learning (6 papers), Topic Modeling (6 papers) and AI in Service Interactions (3 papers). Sherry Ruan is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (6 papers), Topic Modeling (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, Qianyao Xu, Elizabeth L. Murnane, 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 328 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sherry Ruan	217	96	52	47	45	11	338
Marian Beard	138 0.6×	57 0.6×	114 2.2×	45 1.0×	42 0.9×	11	328
Kiavash Bahreini	121 0.6×	72 0.8×	35 0.7×	42 0.9×	69 1.5×	16	316
Julia Cambre	170 0.8×	88 0.9×	62 1.2×	29 0.6×	57 1.3×	13	347
Valdemar Danry	98 0.5×	45 0.5×	67 1.3×	38 0.8×	27 0.6×	17	336
Marlene Jones	198 0.9×	42 0.4×	35 0.7×	56 1.2×	28 0.6×	10	294
Joseph E. Michaelis	135 0.6×	54 0.6×	83 1.6×	33 0.7×	74 1.6×	22	354
Joseph B. Wiggins	146 0.7×	156 1.6×	51 1.0×	40 0.9×	120 2.7×	27	392
Jay Elkerton	80 0.4×	72 0.8×	119 2.3×	68 1.4×	123 2.7×	23	386
Lin Yu-peng	109 0.5×	90 0.9×	21 0.4×	54 1.1×	42 0.9×	14	315
Gwo Dong Chen	135 0.6×	107 1.1×	21 0.4×	75 1.6×	102 2.3×	20	388

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

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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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