Ji Yeon Lee

570 citations
33 papers · 385 indexed · h-index 12

Ji Yeon Lee

29 papers receiving 364 citations

Peers

Ji Yeon Lee
Comparison fields: 5 of 114
  • Endocrine and Autonomic Systems 48
  • Aging 12
  • Statistics and Probability 32
  • Finance 37
  • Psychiatry and Mental health 32
Replace Erin McCarthy with:
Erin McCarthy United States
John C. Williams United States
Kyi Kyi Tha Malaysia
Jessica Thomas United States
Huihui Jiang China
Douglas J. Swanson United States
Shuyun Huang China
Hui-Fang Chen Hong Kong
Do Young Choi South Korea
Barry Lee United States
Ji Yeon Lee relative to Erin McCarthy United States Erin McCarthy's profile →
Citations per field
00.5×12×
Erin McCarthy · 1×
Citations per year

Countries citing papers authored by Ji Yeon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ji Yeon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji Yeon Lee. 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 Ji Yeon Lee. The network helps show where Ji Yeon Lee may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ji Yeon Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ji Yeon Lee Line = papers co-authored together Ji Yeon Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 202131
4 20195
5 201921
6 201823
7 201744
8
The Effect of Mobile-phone Dependency on School Adjustment: Focusing on the Moderating Effect of Self-Esteem and Gender Difference
20150
9 201519
10 201527
11 201531
12
The Similarities and Differences in Predictor Variables of Youth’s Prosocial and Antisocial Behaviors -A Meta-Analysis-
20145
13 20145
14 20141
15
The Pathways from Child Abuse and School Bullying to Depression and Aggression in Adolescence : With a Special Focus on Differences in Gender
20125
16 201114
17
The Predictors of Children's Emotional Regulation and Empathy at Age 5: A Longitudinal Approach
20102
18 20101
19
Investigating the effect of festival visitors' emotional experiences on satisfaction, psychological commitment, and loyalty
20097
20
Conceptualizing E-Learning
20051

About Ji Yeon Lee

Ji Yeon Lee is a scholar working on Aging, Finance and Statistics and Probability, having authored 33 papers that have together received 385 indexed citations. Recurring topics across this work include Psychosocial Factors Impacting Youth (7 papers), Financial Risk and Volatility Modeling (7 papers), Education and Learning Interventions (4 papers), Statistical Methods and Inference (4 papers), Statistical Distribution Estimation and Applications (3 papers), Market Dynamics and Volatility (3 papers), Circadian rhythm and melatonin (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (48 citations), Aging (12 citations) and Statistics and Probability (32 citations). Ji Yeon Lee has collaborated with scholars based in South Korea, Ethiopia and United Kingdom. Frequent co-authors include Hong H. Lee, Sangyeol Lee, Hong‐Hee Kim, Zang Hee Lee, Cheol‐Kyu Park, Okyoung Na, Ick‐Joong Chung, Soowon Park, Yeong Wook Song and Hyung Joon Kim. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Macromolecules.

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

Rankless by CCL
2026