Sunhye Bai

1.3k total citations · 1 hit paper
36 papers, 822 citations indexed

About

Sunhye Bai is a scholar working on Clinical Psychology, Education and Experimental and Cognitive Psychology. According to data from OpenAlex, Sunhye Bai has authored 36 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Clinical Psychology, 13 papers in Education and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Sunhye Bai's work include Child and Adolescent Psychosocial and Emotional Development (21 papers), Early Childhood Education and Development (11 papers) and Sleep and related disorders (6 papers). Sunhye Bai is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (21 papers), Early Childhood Education and Development (11 papers) and Sleep and related disorders (6 papers). Sunhye Bai collaborates with scholars based in United States, India and South Africa. Sunhye Bai's co-authors include Rena L. Repetti, Mark E. Feinberg, Jin‐Kyung Lee, Emily Hotez, Michelle L. Hostetler, Jacqueline Mogle, Samantha L. Tornello, Andrew J. Fuligni, Theodore F. Robles and Bridget M. Reynolds and has published in prestigious journals such as Developmental Psychology, Journal of Child Psychology and Psychiatry and Journal of Marriage and the Family.

In The Last Decade

Sunhye Bai

33 papers receiving 809 citations

Hit Papers

Impact of the COVID‐19 Pandemic on Parent, Child, and Fam... 2021 2026 2022 2024 2021 50 100 150 200
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. Impact of the COVID‐19 Pandemic on Parent, Child, and Family Functioning
    2021 235 citations Mark E. Feinberg, Sunhye Bai et al. Family Process profile →

Peers

Sunhye Bai
Kim M. Tsai United States
A.M. Meijer Netherlands
Bridget M. Reynolds United States
Christina Hardway United States
Lauren E. Philbrook United States
B. Maia Portugal
Corinna Reichl Germany
R. Meredith Elkins United States
Nicholas J. Wagner United States
Mona Yaptangco United States
Kim M. Tsai United States
Sunhye Bai
Citations per year, relative to Sunhye Bai Sunhye Bai (= 1×) peers Kim M. Tsai

Countries citing papers authored by Sunhye Bai

Since Specialization
Citations

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

Fields of papers citing papers by Sunhye Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunhye Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Sunhye Bai. A scholar is included among the top collaborators of Sunhye Bai 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 Sunhye Bai. Sunhye Bai 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.
Bai, Sunhye, et al.. (2024). Dynamic characteristics of parent–adolescent closeness: Predicting adolescent emotion dysregulation. Family Process. 63(4). 2243–2257. 4 indexed citations
2.
Bai, Sunhye, et al.. (2024). Examining the association between school connectedness and use of self-regulation strategies in middle childhood. Applied Developmental Science. 29(2). 161–170. 2 indexed citations
3.
Bai, Sunhye, Gregory M. Fosco, Mark E. Feinberg, & Richard Spoth. (2024). Crossover Effects of PROSPER on Young Adult Suicide Risk: the Role of Adolescent Belongingness to Family and School. Prevention Science. 26(1). 1–11. 1 indexed citations
4.
Bai, Sunhye, et al.. (2024). Adolescent Emotional Reactivity in Family and School Contexts: Prospective Links to Adolescent Psychopathology. Research on Child and Adolescent Psychopathology. 52(12). 1861–1872. 1 indexed citations
5.
Bai, Sunhye, Joan Rosenbaum Asarnow, Kalina N. Babeva, & Michael R. Irwin. (2024). IL-6 predicts non-suicidal self-injury over 3 months in high-risk adolescents. BJPsych Open. 10(2). e51–e51. 3 indexed citations
6.
7.
Agans, Jennifer P., et al.. (2024). Leisure and psychosocial functioning during the COVID-19 pandemic: Exploring data from adolescents and parents of adolescents. Journal of Leisure Research. 55(4). 567–587.
8.
9.
Robles, Theodore F., Sunhye Bai, & Ying‐Ying Meng. (2022). Ozone Pollution, Perceived Support at Home, and Asthma Symptom Severity in the Adolescent Sample of the California Health Interview Survey. International Journal of Behavioral Medicine. 30(3). 398–408. 2 indexed citations
10.
Bai, Sunhye, et al.. (2021). Sleep–Wake Timings in Adolescence: Chronotype Development and Associations with Adjustment. Journal of Youth and Adolescence. 50(4). 628–640. 47 indexed citations
11.
Bai, Sunhye, et al.. (2021). Household chaos mediates the link between family resources and child sleep. Sleep Health. 8(1). 121–129. 8 indexed citations
12.
Bai, Sunhye, Orfeu M. Buxton, Lindsay Master, & Lauren Hale. (2021). Daily associations between family interaction quality, stress, and objective sleep in adolescents. Sleep Health. 8(1). 69–72. 19 indexed citations
13.
Bai, Sunhye, Theodore F. Robles, Bridget M. Reynolds, & Rena L. Repetti. (2020). Daily Mood Reactivity to Stress during Childhood Predicts Internalizing Problems Three Years Later. Journal of Abnormal Child Psychology. 48(8). 1063–1075. 12 indexed citations
14.
Bai, Sunhye, et al.. (2020). A daily diary study of sleep chronotype among Mexican-origin adolescents and parents: Implications for adolescent behavioral health. Development and Psychopathology. 33(1). 313–322. 12 indexed citations
15.
Fuligni, Andrew J., Sunhye Bai, Jennifer L. Krull, & Nancy A. Gonzales. (2017). Individual Differences in Optimum Sleep for Daily Mood During Adolescence. Journal of Clinical Child & Adolescent Psychology. 48(3). 469–479. 55 indexed citations
16.
Bai, Sunhye & Rena L. Repetti. (2017). Negative and Positive Emotion Responses to Daily School Problems: Links to Internalizing and Externalizing Symptoms. Journal of Abnormal Child Psychology. 46(3). 423–435. 31 indexed citations
17.
Bai, Sunhye, Theodore F. Robles, Bridget M. Reynolds, & Rena L. Repetti. (2017). Children's diurnal cortisol responses to negative events at school and home. Psychoneuroendocrinology. 83. 150–158. 21 indexed citations
18.
Bai, Sunhye & Steve S. Lee. (2017). Early-Onset Conduct Problems: Predictions from Daring Temperament and Risk Taking Behavior. Journal of Psychopathology and Behavioral Assessment. 39(4). 575–584. 8 indexed citations
19.
Robles, Theodore F., et al.. (2015). Emotions and family interactions in childhood: Associations with leukocyte telomere length. Psychoneuroendocrinology. 63. 343–350. 36 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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