Jinnie Shin
Impact in
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- Online Learning and Analytics
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 6
- Topic Modeling 6
- Text Readability and Simplification 3
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- Online Learning and Analytics 14
- Co-authors
- Mark J. Gierl (7 shared papers)Okan Bulut (8 shared papers)Qi Guo (1 shared paper)Chen Fu (1 shared paper)Chang Lu (1 shared paper)Damien C. Cormier (2 shared papers)Lia M. Daniels (1 shared paper)Tarid Wongvorachan (1 shared paper)
- Journals
- British Journal of Educational Technology (1 paper)Large-scale Assessments in Education (1 paper)Frontiers in Pediatrics (1 paper)International Journal of Testing (1 paper)The Journal of Experimental Education (1 paper)
- Partner nations
- United StatesCanadaPhilippines
In The Last Decade
Jinnie Shin
21 papers receiving 213 citations
Peers
Comparison fields: 5 of 60
- Computer Science Applications 72
- Health Informatics 8
- Developmental and Educational Psychology 42
- Artificial Intelligence 89
- Information Systems 54
Countries citing papers authored by Jinnie Shin
This map shows the geographic impact of Jinnie Shin'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 Jinnie Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinnie Shin more than expected).
Fields of papers citing papers by Jinnie Shin
This network shows the impact of papers produced by Jinnie Shin. 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 Jinnie Shin. The network helps show where Jinnie Shin may publish in the future.
Co-authors
The 22 scholars most cited alongside Jinnie Shin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 52 | |
| 2 | 2020 | 31 | |
| 3 | 2022 | 29 | |
| 4 | 2021 | 27 | |
| 5 | 2021 | 16 | |
| 6 | 2020 | 16 | |
| 7 | 2019 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2020 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 1 | |
| 18 | Linguistic Features of Discourse within an Algebra Online Discussion Board | 2021 | 1 |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Jinnie Shin
Jinnie Shin is a scholar working on Artificial Intelligence, Computer Science Applications, Developmental and Educational Psychology, Information Systems and Experimental and Cognitive Psychology, having authored 27 papers that have together received 231 indexed citations. Recurring topics across this work include Online Learning and Analytics (14 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers), Topic Modeling (6 papers), Innovative Teaching and Learning Methods (4 papers), Educational Games and Gamification (3 papers), Text Readability and Simplification (3 papers), Educational Technology and Assessment (2 papers) and Language, Metaphor, and Cognition (2 papers). The work is most often cited by research in Computer Science Applications (72 citations), Health Informatics (8 citations), Developmental and Educational Psychology (42 citations), Artificial Intelligence (89 citations) and Information Systems (54 citations). Jinnie Shin has collaborated with scholars based in United States, Canada and Philippines. Frequent co-authors include Mark J. Gierl, Okan Bulut, Qi Guo, Chen Fu, Chang Lu, Damien C. Cormier, Lia M. Daniels, Tarid Wongvorachan, Seyedahmad Rahimi and Hollis Lai. Their work appears in journals such as British Journal of Educational Technology, Large-scale Assessments in Education, Frontiers in Pediatrics, International Journal of Testing and The Journal of Experimental Education.
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.