Min Chi

2.1k total citations
94 papers, 984 citations indexed

About

Min Chi is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Min Chi has authored 94 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 33 papers in Computer Science Applications and 20 papers in Developmental and Educational Psychology. Recurrent topics in Min Chi's work include Intelligent Tutoring Systems and Adaptive Learning (43 papers), Online Learning and Analytics (24 papers) and Machine Learning in Healthcare (17 papers). Min Chi is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (43 papers), Online Learning and Analytics (24 papers) and Machine Learning in Healthcare (17 papers). Min Chi collaborates with scholars based in United States, China and Canada. Min Chi's co-authors include Kurt VanLehn, Tiffany Barnes, Pamela Jordan, Yuan Zhang, Julie S. Ivy, Shitian Shen, Diane Litman, Xi Yang, Thomas Price and Yeo Jin Kim and has published in prestigious journals such as Construction and Building Materials, Sensors and Information Sciences.

In The Last Decade

Min Chi

88 papers receiving 927 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Min Chi United States	17	653	358	226	106	102	94	984
Elena Verdú Spain	17	251 0.4×	215 0.6×	148 0.7×	138 1.3×	71 0.7×	70	905
José-Francisco Díez-Pastor Spain	17	509 0.8×	125 0.3×	34 0.2×	65 0.6×	19 0.2×	43	913
António Garrido Spain	13	264 0.4×	95 0.3×	35 0.2×	45 0.4×	43 0.4×	41	695
Sani Muhamad Isa Indonesia	14	190 0.3×	34 0.1×	16 0.1×	34 0.3×	73 0.7×	111	672
Thanveer Shaik Australia	10	248 0.4×	91 0.3×	11 0.0×	25 0.2×	12 0.1×	20	602
Jim Prentzas Greece	13	319 0.5×	65 0.2×	28 0.1×	16 0.2×	28 0.3×	44	530
Francisco Ortín Spain	14	381 0.6×	176 0.5×	56 0.2×	45 0.4×	40 0.4×	89	778
Juan Ramón Rico-Juan Spain	14	319 0.5×	37 0.1×	9 0.0×	34 0.3×	43 0.4×	38	608
Dunwei Wen Canada	12	207 0.3×	98 0.3×	64 0.3×	74 0.7×	12 0.1×	44	625
Raquel Lacuesta Spain	16	90 0.1×	37 0.1×	14 0.1×	50 0.5×	51 0.5×	65	808

Countries citing papers authored by Min Chi

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Min Chi

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

20 of 20 papers shown

Zhang, Xun, et al.. (2024). Experimental investigation on wear behavior of asphalt pavement based on three-dimensional surface texture scan technology. Construction and Building Materials. 412. 134851–134851. 14 indexed citations

Gao, Ge, et al.. (2024). Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12136–12144. 1 indexed citations

Marwan, Samiha, et al.. (2021). Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming. Educational Data Mining. 2 indexed citations

Chi, Min, et al.. (2020). Does autonomy help Help? The impact of unsolicited hints and choice on help avoidance and learning.. Educational Data Mining.

Yang, Xi, et al.. (2020). Student Subtyping via EM-Inverse Reinforcement Learning.. Educational Data Mining. 2 indexed citations

Barnes, Tiffany, et al.. (2020). Pick the Moment: Identifying Critical Pedagogical Decisions Using Long-Short Term Rewards.. Educational Data Mining. 3 indexed citations

Barnes, Tiffany, et al.. (2020). Extending the Hint Factory: Towards Modelling Productivity for Open-ended Problem-solving. Educational Data Mining.

Barnes, Tiffany, et al.. (2019). Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement Learning.. Educational Data Mining. 1 indexed citations

Barnes, Tiffany, et al.. (2019). Leveraging Deep Reinforcement Learning for Pedagogical Policy Induction in an Intelligent Tutoring System.. Educational Data Mining. 9 indexed citations

10.

Beck, Joseph E., Min Chi, & Ryan S. Baker. (2017). Workshop proposal: deep learning for educational data mining.. Educational Data Mining. 1 indexed citations

11.

Wang, Jianxun, et al.. (2017). Towards Closing the Loop: Bridging Machine-Induced Pedagogical Policies to Learning Theories.. Educational Data Mining. 13 indexed citations

12.

Chi, Min, et al.. (2017). The Impact of Decision Agency & Granularity on Aptitude Treatment Interaction in Tutoring.. Cognitive Science. 2 indexed citations

13.

Shen, Shitian & Min Chi. (2016). Aim Low: Correlation-Based Feature Selection for Model-Based Reinforcement Learning.. Educational Data Mining. 507–512. 10 indexed citations

14.

Zhang, Yuan, et al.. (2016). Deep Learning + Student Modeling + Clustering: a Recipe for Effective Automatic Short Answer Grading.. Educational Data Mining. 562–567. 20 indexed citations

15.

Lynch, Collin, et al.. (2016). The Impact of Granularity on the Effectiveness of Students' Pedagogical Decisions.. Cognitive Science. 1 indexed citations

16.

Chi, Min, Daniel L. Schwartz, Kristen Pilner Blair, & Doris B. Chin. (2014). Choice-based Assessment: Can Choices Made in Digital Games Predict 6th-Grade Students' Math Test Scores?. Educational Data Mining. 36–43. 4 indexed citations

17.

Chi, Min. (2014). Effect of Different Training Systems on Quality of ‘Cabernet Sauvignon' Grape Berries. Northern Horticulture. 1 indexed citations

18.

Gowda, Sujith M., Jonathan Rowe, Ryan S. Baker, Min Chi, & Kenneth R. Koedinger. (2011). Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty.. Educational Data Mining. 199–208. 10 indexed citations

19.

Chi, Min & Kurt VanLehn. (2010). Meta-Cognitive Strategy Instruction in Intelligent Tutoring Systems: How, When, and Why. Educational Technology & Society. 13(1). 25–39. 35 indexed citations

20.

Chi, Min & Kurt VanLehn. (2007). The Impact of Explicit Strategy Instruction on Problem-solving Behaviors across Intelligent Tutoring Systems. eScholarship (California Digital Library). 29(29). 5 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.

Explore authors with similar magnitude of impact