Mido Chang

2.0k total citations · 1 hit paper
59 papers, 1.3k citations indexed

About

Mido Chang is a scholar working on Education, Developmental and Educational Psychology and Safety Research. According to data from OpenAlex, Mido Chang has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Education, 16 papers in Developmental and Educational Psychology and 12 papers in Safety Research. Recurrent topics in Mido Chang's work include Parental Involvement in Education (16 papers), Early Childhood Education and Development (16 papers) and School Choice and Performance (11 papers). Mido Chang is often cited by papers focused on Parental Involvement in Education (16 papers), Early Childhood Education and Development (16 papers) and School Choice and Performance (11 papers). Mido Chang collaborates with scholars based in United States, Türkiye and South Korea. Mido Chang's co-authors include Sunha Kim, Heejung Kim, Karen Rose, Kusum Singh, Kirby Deater‐Deckard, Michael A. Evans, Sandra L. Dika, Namok Choi, Anderson Norton and Boyoung Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Public Health and Journal of Advanced Nursing.

In The Last Decade

Mido Chang

54 papers receiving 1.2k citations

Hit Papers

Predictors of caregiver burden in caregivers of individua... 2011 2026 2016 2021 2011 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Predictors of caregiver burden in caregivers of individuals with dementia
    2011 414 citations Heejung Kim, Mido Chang et al. Journal of Advanced Nursing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mido Chang United States 19 569 362 315 258 206 59 1.3k
Sunha Kim United States 15 280 0.5× 297 0.8× 284 0.9× 139 0.5× 201 1.0× 41 997
Anita Brown United States 22 399 0.7× 362 1.0× 827 2.6× 114 0.4× 133 0.6× 45 1.7k
Kathy E. Green United States 19 335 0.6× 295 0.8× 342 1.1× 219 0.8× 121 0.6× 68 1.4k
Alan Hayes Australia 18 338 0.6× 222 0.6× 303 1.0× 136 0.5× 54 0.3× 95 980
Rachel Brown United Kingdom 19 616 1.1× 146 0.4× 346 1.1× 695 2.7× 103 0.5× 77 1.6k
Dena A. Pastor United States 13 332 0.6× 158 0.4× 312 1.0× 208 0.8× 109 0.5× 28 1.2k
Michael D. Toland United States 23 386 0.7× 118 0.3× 659 2.1× 289 1.1× 192 0.9× 65 1.5k
Paula Elosua Spain 17 401 0.7× 170 0.5× 557 1.8× 178 0.7× 132 0.6× 77 1.7k
Erkki Komulainen Finland 15 405 0.7× 154 0.4× 318 1.0× 133 0.5× 49 0.2× 40 1.0k
Cynthia A. Rohrbeck United States 16 858 1.5× 254 0.7× 700 2.2× 436 1.7× 37 0.2× 35 1.7k

Countries citing papers authored by Mido Chang

Since Specialization
Citations

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

Fields of papers citing papers by Mido Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mido Chang

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

All Works

20 of 20 papers shown
1.
Kenny, Maureen C., et al.. (2025). Longitudinal Analysis of a Statewide, Social Ecological Approach to Child Sexual Abuse Prevention in Vermont. Child Maltreatment. 3342013177–3342013177.
2.
Chang, Mido, et al.. (2024). An equitable approach to leveraging multilingual paraprofessional learning. TESOL Journal. 15(4). 2 indexed citations
3.
Bang, Hyejin, Mido Chang, & Sunha Kim. (2024). Team and individual sport participation, school belonging, and gender differences in adolescent depression. Children and Youth Services Review. 159. 107517–107517. 7 indexed citations
4.
Chang, Mido, et al.. (2023). Enhanced Math Efficacy and Performance of Minority Students through Student Class Preparation and Teacher Support. Education Sciences. 13(11). 1158–1158. 1 indexed citations
5.
Chang, Mido, et al.. (2019). Causal Model of Academic Engagement: The Role of Academic Support and Academic Self-Regulation. SHILAP Revista de lepidopterología.
6.
Chang, Mido, et al.. (2019). Effects of Academic Momentum on Degree Attainment for Students Beginning College at 2-Year Institutions. Journal of College Student Retention Research Theory & Practice. 23(2). 322–336. 13 indexed citations
7.
8.
Kim, Sunha, Mido Chang, Namok Choi, Jeehyun Park, & Heejung Kim. (2016). The Direct and Indirect Effects of Computer Uses on Student Success in Math. International Journal of Cyber Behavior Psychology and Learning. 6(3). 48–64. 3 indexed citations
9.
Evans, Michael A., et al.. (2015). School-Wide Adoption of a Mathematics Learning Game in a Middle School Setting: Using the TPACK Framework to Analyze Effects on Practice. The Asia-Pacific Education Researcher. 24(3). 495–504. 16 indexed citations
10.
11.
Kim, Heejung, Mido Chang, Karen Rose, & Sunha Kim. (2011). Predictors of caregiver burden in caregivers of individuals with dementia. Journal of Advanced Nursing. 68(4). 846–855. 414 indexed citations breakdown →
12.
Kim, Sunha & Mido Chang. (2010). Computer Games for the Math Achievement of Diverse Students. Educational Technology & Society. 13(3). 224–232. 69 indexed citations
13.
Chang, Mido, et al.. (2010). Which Social Skills Predict Academic Performance of Elementary School Students?. i-manager’s Journal on Educational Psychology. 3(3). 23–34. 6 indexed citations
14.
Chang, Mido, Boyoung Park, & Sunha Kim. (2009). Parenting Classes, Parenting Behavior, and Child Cognitive Development in Early Head Start: A Longitudinal Model.. ˜The œSchool community journal/School community journal. 19(1). 155–174. 21 indexed citations
15.
Chang, Mido, et al.. (2009). All-Day Kindergarten And Cognitive Outcomes Of Racial Minority Students In The US. i-manager’s Journal on Educational Psychology. 3(2). 33–43. 1 indexed citations
16.
Kwon, Hyuksoo & Mido Chang. (2009). <p>Technology Teachers’ Beliefs About Biotechnology and Its Instruction in South Korea</p>. The Journal of Technology Studies. 35(1). 67–75. 10 indexed citations
17.
Chang, Mido, et al.. (2008). Peer & Parent Encouragement of Early Algebra Enrollment & Mathematics Achievement.. 3(1). 23–34. 5 indexed citations
18.
Chang, Mido, et al.. (2008). Center-based care for language minority students. Educational Research and Evaluation. 14(5). 445–463. 3 indexed citations
19.
Kim, Sunha & Mido Chang. (2008). Computer Use in Diverse Learning Contexts in ELS 2002: Gender, Race and Learner-Centeredness Effects and Implications. i-manager s Journal on School Educational Technology. 3(4). 55–65. 1 indexed citations
20.

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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