Chan-Mo Yang

421 total citations · 1 hit paper
41 papers, 243 citations indexed

About

Chan-Mo Yang is a scholar working on Clinical Psychology, Psychiatry and Mental health and General Health Professions. According to data from OpenAlex, Chan-Mo Yang has authored 41 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Clinical Psychology, 13 papers in Psychiatry and Mental health and 8 papers in General Health Professions. Recurrent topics in Chan-Mo Yang's work include Bipolar Disorder and Treatment (7 papers), Health and Wellbeing Research (7 papers) and Attention Deficit Hyperactivity Disorder (6 papers). Chan-Mo Yang is often cited by papers focused on Bipolar Disorder and Treatment (7 papers), Health and Wellbeing Research (7 papers) and Attention Deficit Hyperactivity Disorder (6 papers). Chan-Mo Yang collaborates with scholars based in South Korea and United States. Chan-Mo Yang's co-authors include Sang-Yeol Lee, Young‐Ho Kim, Seung-Ho Jang, Woosuk Seo, Hye-Jin Lee, Bung-Nyun Kim, Hwajung Hong, Ju-Won Baek, Jaeyoung Shin and Johanna Inhyang Kim and has published in prestigious journals such as Cancer Research, Biochemical and Biophysical Research Communications and Journal of Affective Disorders.

In The Last Decade

Chan-Mo Yang

34 papers receiving 241 citations

Hit Papers

MindfulDiary: Harnessing Large Language Model to Support ... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chan-Mo Yang South Korea 9 77 62 35 34 32 41 243
David E. Marra United States 7 59 0.8× 123 2.0× 46 1.3× 33 1.0× 20 0.6× 21 340
Dong Yun Lee South Korea 11 76 1.0× 68 1.1× 37 1.1× 21 0.6× 13 0.4× 43 289
Redwan Maatoug France 10 75 1.0× 41 0.7× 47 1.3× 22 0.6× 48 1.5× 26 351
Jessica Irving United Kingdom 6 65 0.8× 133 2.1× 41 1.2× 21 0.6× 28 0.9× 10 287
Isabela G. Marques United States 11 65 0.8× 45 0.7× 19 0.5× 66 1.9× 13 0.4× 20 278
Фэй Гу United States 8 49 0.6× 48 0.8× 18 0.5× 17 0.5× 26 0.8× 28 302
Zoilo Emilio García-Batista Dominican Republic 8 122 1.6× 30 0.5× 32 0.9× 46 1.4× 31 1.0× 22 330
Jeong‐Hyun Kim South Korea 15 165 2.1× 85 1.4× 25 0.7× 73 2.1× 26 0.8× 36 461
Alison Hermann United States 11 89 1.2× 20 0.3× 13 0.4× 35 1.0× 18 0.6× 21 343
Raquel Losada Spain 7 109 1.4× 61 1.0× 20 0.6× 108 3.2× 19 0.6× 20 268

Countries citing papers authored by Chan-Mo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chan-Mo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan-Mo Yang. 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 Chan-Mo Yang. The network helps show where Chan-Mo Yang may publish in the future.

Co-authorship network of co-authors of Chan-Mo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chan-Mo Yang. A scholar is included among the top collaborators of Chan-Mo Yang 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 Chan-Mo Yang. Chan-Mo Yang 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.
Seo, Woosuk, Chan-Mo Yang, & Young‐Ho Kim. (2024). ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Personal Events. 1–20. 23 indexed citations
2.
Yang, Chan-Mo, et al.. (2024). Psychometric Properties of Korean Version of Nonsuicidal Self-injury Inventory: Validation Study of Deliberate Self-harm Inventory. Clinical Psychopharmacology and Neuroscience. 22(4). 669–678. 1 indexed citations
3.
Hong, Hwajung, et al.. (2024). MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling. 1–20. 45 indexed citations breakdown →
4.
Lee, Sang-Yeol, et al.. (2024). Risk Factors and Trends in Adolescent’s Suicide Attempt Rates Before and After the Coronavirus Disease 2019 Pandemic. Journal of Korean Medical Science. 39(3). e32–e32. 2 indexed citations
5.
Jeong, Jong‐Hyun, Won‐Myong Bahk, Young Sup Woo, et al.. (2023). Korean Medication Algorithm Project for Bipolar Disorder 2022: Comparisons with Other Treatment Guidelines. Clinical Psychopharmacology and Neuroscience. 21(1). 32–48. 8 indexed citations
6.
Yang, Chan-Mo, et al.. (2023). The Korean Version of Pandemic Stress Questionnaire: Validation in Korean Population. Clinical Psychopharmacology and Neuroscience. 21(2). 377–385. 2 indexed citations
7.
Yang, Chan-Mo, et al.. (2023). Classifying Children with ADHD Based on Prefrontal Functional Near-infrared Spectroscopy Using Machine Learning. Clinical Psychopharmacology and Neuroscience. 21(4). 693–700. 10 indexed citations
8.
Lee, Hyekyoung, Johanna Inhyang Kim, Jung Lee, et al.. (2022). Alterations in Social Brain Network Topology at Rest in Children With Autism Spectrum Disorder. Psychiatry Investigation. 19(12). 1055–1068. 8 indexed citations
9.
Yang, Chan-Mo, et al.. (2022). Mental Health and Quality of Life for Disaster Service Workers in a Province under COVID-19. Journal of Clinical Medicine. 11(6). 1600–1600. 2 indexed citations
10.
Woo, Young Sup, Won‐Myong Bahk, Jong‐Hyun Jeong, et al.. (2022). Korean Medication Algorithm Project for Bipolar Disorder 2022, Fifth Revision: An Executive Summary. Clinical Psychopharmacology and Neuroscience. 20(4). 747–761. 7 indexed citations
11.
Bahk, Won‐Myong, Young Sup Woo, Jong‐Hyun Jeong, et al.. (2022). Korean Medication Algorithm Project for Bipolar Disorder 2022: Overview. Journal of Korean Neuropsychiatric Association. 61(2). 98–98. 1 indexed citations
12.
Woo, Young Sup, Won‐Myong Bahk, Young‐Min Park, et al.. (2022). The Korean Medication Algorithm Project for Depressive Disorder 2021: Comparisons with Other Treatment Guidelines. Clinical Psychopharmacology and Neuroscience. 20(1). 37–50. 9 indexed citations
13.
Jeong, Jong‐Hyun, Won‐Myong Bahk, Young Sup Woo, et al.. (2022). Korean Medication Algorithm Project for Bipolar Disorder 2022: Rapid Cycling. Journal of Korean Neuropsychiatric Association. 61(3). 204–204. 1 indexed citations
14.
Yang, Chan-Mo, et al.. (2021). Classification of Adolescent Psychiatric Patients at High Risk of Suicide Using the Personality Assessment Inventory by Machine Learning. Psychiatry Investigation. 18(11). 1137–1143. 14 indexed citations
15.
Bahk, Won‐Myong, Young Sup Woo, Young‐Min Park, et al.. (2021). Korean Medication Algorithm for Depressive Disorder 2021, Fourth Revision: An Executive Summary. Clinical Psychopharmacology and Neuroscience. 19(4). 751–772. 7 indexed citations
16.
Yang, Chan-Mo, Se-Hoon Shim, Won‐Myong Bahk, et al.. (2021). Korean Medication Algorithm Project for Depressive Disorder 2021 (III): Child and Adolescent. Journal of Korean Neuropsychiatric Association. 60(3). 193–193.
17.
Park, Seung-Kyu, Sang-Yeol Lee, Han-Seung Ryu, et al.. (2021). A Study on the Difference of Psychosocial Characteristics and Quality of Life according to the Type of Functional Gastrointestinal Disorder. 29(1). 58–66. 1 indexed citations
19.
Yang, Chan-Mo & Sang Yeol Lee. (2020). Effect of Untreated Depression in Adolescence on the Suicide Risk and Attempt in Male Young Adults. 28(1). 29–35. 4 indexed citations
20.
Yang, Chan-Mo, et al.. (2020). Psychosocial Characteristics and Quality of Life in Patients with Functional Gastrointestinal Disorder. 28(1). 20–28. 2 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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