Aysu Ezen-Can

429 total citations
13 papers, 195 citations indexed

About

Aysu Ezen-Can is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Aysu Ezen-Can has authored 13 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Computer Science Applications and 3 papers in Developmental and Educational Psychology. Recurrent topics in Aysu Ezen-Can's work include Speech and dialogue systems (8 papers), Topic Modeling (7 papers) and Intelligent Tutoring Systems and Adaptive Learning (6 papers). Aysu Ezen-Can is often cited by papers focused on Speech and dialogue systems (8 papers), Topic Modeling (7 papers) and Intelligent Tutoring Systems and Adaptive Learning (6 papers). Aysu Ezen-Can collaborates with scholars based in United States. Aysu Ezen-Can's co-authors include Kristy Elizabeth Boyer, Shaun Kellogg, Joseph F. Grafsgaard, James C. Lester, Eric Wiebe, Eun Young Ha and Joseph B. Wiggins and has published in prestigious journals such as Annual Meeting of the Special Interest Group on Discourse and Dialogue, Educational Data Mining and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Aysu Ezen-Can

13 papers receiving 187 citations

Peers

Aysu Ezen-Can

CSA

AI

EDUCA

DEP

IS

Dragan Gašević Australia

Shamya Karumbaiah United States

Riordan Alfredo Australia

Mónica Trella Spain

Ranilson Paiva Brazil

Krenare Pireva Kosovo

Reva Freedman United States

Alice Kerly United Kingdom

Dovan Rai United States

Huixiao Le China

Dragan Gašević Australia

Aysu Ezen-Can

128 ×1.1

CSA

105 ×1.0

AI

34 ×0.7

EDUCA

63 ×1.3

DEP

53 ×1.7

IS

Citations per year, relative to Aysu Ezen-Can Aysu Ezen-Can (= 1×) peers Dragan Gašević

Countries citing papers authored by Aysu Ezen-Can

Since Specialization

Citations

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

Fields of papers citing papers by Aysu Ezen-Can

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aysu Ezen-Can. 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 Aysu Ezen-Can. The network helps show where Aysu Ezen-Can may publish in the future.

Co-authorship network of co-authors of Aysu Ezen-Can

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

All Works

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13 of 13 papers shown

1.

Ezen-Can, Aysu, et al.. (2019). Hybrid RNN at SemEval-2019 Task 9: Blending Information Sources for Domain-Independent Suggestion Mining. 1199–1203. 4 indexed citations

2.

Ezen-Can, Aysu, et al.. (2018). RNN for Affects at SemEval-2018 Task 1: Formulating Affect Identification as a Binary Classification Problem. 8 indexed citations

3.

Ezen-Can, Aysu & Kristy Elizabeth Boyer. (2015). Choosing to Interact: Exploring the Relationship between Learner Personality, Attitudes, and Tutorial Dialogue Participation.. Educational Data Mining. 125–128. 2 indexed citations

4.

Ezen-Can, Aysu & Kristy Elizabeth Boyer. (2015). Understanding Student Language: An Unsupervised Dialogue Act Classification Approach. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

5.

Ezen-Can, Aysu & Kristy Elizabeth Boyer. (2015). Understanding Student Language: An Unsupervised Dialogue Act Classification Approach. Zenodo (CERN European Organization for Nuclear Research). 7(1). 51–78. 16 indexed citations

6.

Wiggins, Joseph B., Kristy Elizabeth Boyer, Aysu Ezen-Can, et al.. (2015). JavaTutor. 599–599. 22 indexed citations

7.

Ezen-Can, Aysu, Joseph F. Grafsgaard, James C. Lester, & Kristy Elizabeth Boyer. (2015). Classifying student dialogue acts with multimodal learning analytics. 280–289. 21 indexed citations

8.

Ezen-Can, Aysu, et al.. (2015). Unsupervised modeling for understanding MOOC discussion forums. 146–150. 93 indexed citations

9.

Ezen-Can, Aysu & Kristy Elizabeth Boyer. (2014). A Preliminary Investigation of Learner Characteristics for Unsupervised Dialogue Act Classification.. Educational Data Mining. 373–374. 1 indexed citations

10.

Ezen-Can, Aysu & Kristy Elizabeth Boyer. (2014). Toward Adaptive Unsupervised Dialogue Act Classification in Tutoring by Gender and Self-Efficacy.. 2 indexed citations

11.

Ezen-Can, Aysu & Kristy Elizabeth Boyer. (2014). Combining Task and Dialogue Streams in Unsupervised Dialogue Act Models. 113–122. 6 indexed citations

12.

Ezen-Can, Aysu & Kristy Elizabeth Boyer. (2013). Unsupervised Classification of Student Dialogue Acts with Query-Likelihood Clustering.. Educational Data Mining. 20–27. 15 indexed citations

13.

Ezen-Can, Aysu & Kristy Elizabeth Boyer. (2013). In-Context Evaluation of Unsupervised Dialogue Act Models for Tutorial Dialogue. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 324–328. 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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