Min Chi
Impact in
- Computer Science Applications top 0.5%
- Online Learning and Analytics
- Teaching and Learning Programming
- Artificial Intelligence top 1%
- Intelligent Tutoring Systems and Adaptive Learning
- Machine Learning in Healthcare
- Topic Modeling
- Reinforcement Learning in Robotics
Papers in
-
- Intelligent Tutoring Systems and Adaptive Learning 64
- Machine Learning in Healthcare 19
- Topic Modeling 15
- Reinforcement Learning in Robotics 13
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- Online Learning and Analytics 32
- Teaching and Learning Programming 14
- Co-authors
- Kurt VanLehn (15 shared papers)Tiffany Barnes (42 shared papers)Diane Litman (5 shared papers)Pamela Jordan (5 shared papers)Yuan Zhang (4 shared papers)Shitian Shen (8 shared papers)Julie S. Ivy (8 shared papers)Xi Yang (8 shared papers)
- Journals
- International Journal of Artificial Intelligence in Education (6 papers)Cognitive Science (5 papers)User Modeling and User-Adapted Interaction (4 papers)Lecture notes in computer science (24 papers)Construction and Building Materials (2 papers)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Min Chi
115 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Computer Science Applications 566
- Artificial Intelligence 1.1k
- Developmental and Educational Psychology 369
- Health Informatics 19
- Health Information Management 60
Countries citing papers authored by Min Chi
This map shows the geographic impact of Min Chi'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 Min Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Chi more than expected).
Fields of papers citing papers by Min Chi
This network shows the impact of papers produced by Min Chi. 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 Min Chi. The network helps show where Min Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Chi, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 106 | |
| 2 | 2018 | 67 | |
| 3 | 2019 | 64 | |
| 4 | 2010 | 59 | |
| 5 | 2001 | 55 | |
| 6 | 2015 | 51 | |
| 7 | 2011 | 48 | |
| 8 | 2018 | 44 | |
| 9 | Meta-Cognitive Strategy Instruction in Intelligent Tutoring Systems: How, When, and Why | 2010 | 41 |
| 10 | 2019 | 41 | |
| 11 | 2018 | 34 | |
| 12 | 2016 | 33 | |
| 13 | 2021 | 31 | |
| 14 | 2016 | 30 | |
| 15 | 2019 | 30 | |
| 16 | 2018 | 30 | |
| 17 | Deep Learning + Student Modeling + Clustering: a Recipe for Effective Automatic Short Answer Grading. | 2016 | 27 |
| 18 | 2016 | 24 | |
| 19 | 2017 | 23 | |
| 20 | 2019 | 22 |
About Min Chi
Min Chi is a scholar working on Artificial Intelligence, Computer Science Applications, Developmental and Educational Psychology, Education and Experimental and Cognitive Psychology, having authored 125 papers that have together received 1.6k indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (64 papers), Online Learning and Analytics (32 papers), Innovative Teaching and Learning Methods (24 papers), Machine Learning in Healthcare (19 papers), Topic Modeling (15 papers), Teaching and Learning Programming (14 papers), Reinforcement Learning in Robotics (13 papers) and Time Series Analysis and Forecasting (10 papers). The work is most often cited by research in Computer Science Applications (566 citations), Artificial Intelligence (1.1k citations), Developmental and Educational Psychology (369 citations), Health Informatics (19 citations) and Health Information Management (60 citations). Min Chi has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Kurt VanLehn, Tiffany Barnes, Diane Litman, Pamela Jordan, Yuan Zhang, Shitian Shen, Julie S. Ivy, Xi Yang, Yeo Jin Kim and Thomas Price. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Cognitive Science, User Modeling and User-Adapted Interaction, Lecture notes in computer science and Construction and Building Materials.
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.