Daniel Chang

618 total citations
14 papers, 357 citations indexed

About

Daniel Chang is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Daniel Chang has authored 14 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Science Applications and 3 papers in Developmental and Educational Psychology. Recurrent topics in Daniel Chang's work include Online Learning and Analytics (5 papers), AI in Service Interactions (4 papers) and Topic Modeling (3 papers). Daniel Chang is often cited by papers focused on Online Learning and Analytics (5 papers), AI in Service Interactions (4 papers) and Topic Modeling (3 papers). Daniel Chang collaborates with scholars based in Canada, United States and Australia. Daniel Chang's co-authors include Michael Pin-Chuan Lin, Shiva Hajian, Tallie Z. Baram, Philip H. Winne, Yue Wang, Mladen Raković, Nancy Hedberg, Piotr Dollár, Cynthia T. Hsu and Su‐Jin Yi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of the Acoustical Society of America.

In The Last Decade

Daniel Chang

12 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Chang Canada	9	148	137	80	48	47	14	357
Elizabeth B. Cloude United States	12	181 1.2×	137 1.0×	244 3.0×	46 1.0×	10 0.2×	23	429
Maria Stavrou United Kingdom	7	26 0.2×	52 0.4×	6 0.1×	20 0.4×	32 0.7×	13	368
Lev Tankelevitch United Kingdom	8	27 0.2×	77 0.6×	27 0.3×	8 0.2×	19 0.4×	21	416
Jennifer Albert United States	10	219 1.5×	31 0.2×	149 1.9×	53 1.1×	3 0.1×	32	571
Krisztina Tóth Hungary	9	35 0.2×	43 0.3×	96 1.2×	21 0.4×	1 0.0×	16	450
Grace C. Lin United States	10	18 0.1×	21 0.2×	69 0.9×	12 0.3×	3 0.1×	19	383
Anna A. Ivanova United States	7	34 0.2×	42 0.3×	100 1.3×	17 0.4×	2 0.0×	16	331
Felicia Ng United States	5	33 0.2×	38 0.3×	25 0.3×	19 0.4×	2 0.0×	7	294
Evgeny Chukharev‐Hudilainen United States	13	28 0.2×	257 1.9×	191 2.4×	57 1.2×	9 0.2×	31	576

Countries citing papers authored by Daniel Chang

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Chang. 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 Daniel Chang. The network helps show where Daniel Chang may publish in the future.

Co-authorship network of co-authors of Daniel Chang

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

All Works

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14 of 14 papers shown

Hajian, Shiva, et al.. (2025). Motivational Theories in Action: A Guide for Teaching Artificial Intelligence Prompts to Support Student Learning Motivation. International Journal of Instruction. 18(4). 601–626.

Chang, Daniel, et al.. (2025). Translingual approach in assessing academic writing for emerging multilingual writers in EMI higher education. Linguistics and Education. 87. 101403–101403.

Lin, Michael Pin-Chuan, et al.. (2024). An Exploratory Study on the Efficacy and Inclusivity of AI Technologies in Diverse Learning Environments. Sustainability. 16(20). 8992–8992. 14 indexed citations

Lin, Michael Pin-Chuan, Daniel Chang, & Philip H. Winne. (2024). A proposed methodology for investigating student-chatbot interaction patterns in giving peer feedback. Educational Technology Research and Development. 73(1). 353–386. 8 indexed citations

Lin, Michael Pin-Chuan & Daniel Chang. (2023). CHAT-ACTS: A pedagogical framework for personalized chatbot to enhance active learning and self-regulated learning. Computers and Education Artificial Intelligence. 5. 100167–100167. 28 indexed citations

Chang, Daniel, et al.. (2023). Educational Design Principles of Using AI Chatbot That Supports Self-Regulated Learning in Education: Goal Setting, Feedback, and Personalization. Sustainability. 15(17). 12921–12921. 143 indexed citations

Raković, Mladen, et al.. (2021). Automatic identification of knowledge‐transforming content in argument essays developed from multiple sources. Journal of Computer Assisted Learning. 37(4). 903–924. 13 indexed citations

Lin, Michael Pin-Chuan & Daniel Chang. (2020). Enhancing Post-secondary Writers’ Writing Skills with a Chatbot: A Mixed-Method Classroom Study. SHILAP Revista de lepidopterología. 44 indexed citations

Chang, Daniel, et al.. (2019). EAL Writers and Peer Tutors: Pedagogies that Resist the “Broken Writer” Myth. SHILAP Revista de lepidopterología. 29. 1 indexed citations

10.

Winne, Philip H., Daniel Chang, Michael Pin-Chuan Lin, et al.. (2019). nStudy: Software for Learning Analytics about Processes for Self-Regulated Learning. Journal of Learning Analytics. 6(2). 26 indexed citations

11.

Chang, Daniel, Nancy Hedberg, & Yue Wang. (2016). Effects of musical and linguistic experience on categorization of lexical and melodic tones. The Journal of the Acoustical Society of America. 139(5). 2432–2447. 18 indexed citations

12.

Hsu, Cynthia T., Piotr Dollár, Daniel Chang, & Andrew D. Steele. (2010). Daily Timed Sexual Interaction Induces Moderate Anticipatory Activity in Mice. PLoS ONE. 5(11). e15429–e15429. 12 indexed citations

13.

Chang, Daniel, Su‐Jin Yi, & Tallie Z. Baram. (1996). Developmental profile of corticotropin releasing hormone messenger RNA in the rat inferior olive. International Journal of Developmental Neuroscience. 14(1). 69–76. 8 indexed citations

14.

Chang, Daniel & Tallie Z. Baram. (1994). Status epilepticus results in reversible neuronal injury in infant rat hippocampus: novel use of a marker. Developmental Brain Research. 77(1). 133–136. 42 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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