World's Best Scientists 2026 revealed!
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Psychology
Taiwan
2026

D-Index & Metrics

Psychology

D-Index
74
Citations
23226
World Ranking
1869
National Ranking
3

Chung Ying Lin publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Chung Ying Lin sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 385 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

Chung Ying Lin D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where Chung Ying Lin sits on this spectrum.

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 74 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Psychology in Taiwan Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Psychiatry
  • Major depressive disorder

His primary areas of investigation include Clinical psychology, Psychiatry, Confirmatory factor analysis, Rasch model and Mental illness. His Clinical psychology study combines topics in areas such as Scale, Quality of life, Cognition, Association and Anxiety. His study looks at the relationship between Scale and topics such as Addiction, which overlap with Odds ratio.

His Confirmatory factor analysis study also includes fields such as

  • Construct validity that connect with fields like Quality of life and Internal consistency,
  • Self that intertwine with fields like Health related quality of life. Chung Ying Lin combines subjects such as Classical test theory, Differential item functioning, Lung cancer and Polytomous Rasch model with his study of Rasch model. His studies in Mental illness integrate themes in fields like Psychological intervention, Bipolar disorder, Psychometrics and Self-esteem.

His most cited work include:

  • The Fear of COVID-19 Scale: Development and Initial Validation (558 citations)
  • Social reaction toward the 2019 novel coronavirus (COVID-19) (154 citations)
  • Psychometric evaluation of the Short Form 36 Health Survey (SF-36) and the World Health Organization Quality of Life Scale Brief Version (WHOQOL-BREF) for patients with schizophrenia. (66 citations)

What are the main themes of his work throughout his whole career to date?

Chung Ying Lin mainly focuses on Clinical psychology, Confirmatory factor analysis, Quality of life, Anxiety and Rasch model. A large part of his Clinical psychology studies is devoted to Psychometrics. His work carried out in the field of Confirmatory factor analysis brings together such families of science as Construct validity, Reliability and Concurrent validity.

His Quality of life research is multidisciplinary, incorporating elements of Physical therapy, Psychiatry and Gerontology. As a part of the same scientific study, Chung Ying Lin usually deals with the Anxiety, concentrating on Insomnia and frequently concerns with Mediation. His studies deal with areas such as Classical test theory and Differential item functioning as well as Rasch model.

He most often published in these fields:

  • Clinical psychology (58.56%)
  • Confirmatory factor analysis (20.15%)
  • Quality of life (17.49%)

What were the highlights of his more recent work (between 2019-2021)?

  • Clinical psychology (58.56%)
  • Anxiety (17.11%)
  • Insomnia (7.60%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Clinical psychology, Anxiety, Insomnia, Mental health and Scale. His Clinical psychology research is multidisciplinary, relying on both Confirmatory factor analysis, Overweight, Rasch model, Psychological distress and Hospital Anxiety and Depression Scale. His research in Rasch model intersects with topics in Classical test theory, Differential item functioning and Concurrent validity.

His Hospital Anxiety and Depression Scale study integrates concerns from other disciplines, such as Psychometrics and Pittsburgh Sleep Quality Index. His work in Anxiety addresses subjects such as Depression, which are connected to disciplines such as Mental illness. His Mental health research incorporates elements of Structural equation modeling, Psychosocial and Quality of life.

Between 2019 and 2021, his most popular works were:

  • The Fear of COVID-19 Scale: Development and Initial Validation (558 citations)
  • Social reaction toward the 2019 novel coronavirus (COVID-19) (154 citations)
  • Associations Between Fear of COVID-19, Mental Health, and Preventive Behaviours Across Pregnant Women and Husbands: An Actor-Partner Interdependence Modelling. (42 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Psychiatry
  • Major depressive disorder

His scientific interests lie mostly in Clinical psychology, Anxiety, Scale, Depression and Insomnia. His biological study focuses on Psychometrics. The Anxiety study combines topics in areas such as Overweight, Obesity, Weight stigma, Rasch model and Stigma.

His Rasch model research focuses on Differential item functioning and how it connects with Quality of life. His work on Social media addiction is typically connected to Smartphone application as part of general Scale study, connecting several disciplines of science. His biological study spans a wide range of topics, including Prevalence, Logistic regression and Mental illness.

Best Publications

  • The Fear of COVID-19 Scale: Development and Initial Validation

    Daniel Kwasi Ahorsu;Chung Ying Lin;Vida Imani;Mohsen Saffari

  • Social reaction toward the 2019 novel coronavirus (COVID-19)

    Chung-Ying Lin

  • Internet addiction and sleep problems : A systematic review and meta-analysis

    Zainab Alimoradi;Chung-Ying Lin;Anders Broström;Anders Broström;Pia H. Bülow

  • Relationships between Severity of Internet Gaming Disorder, Severity of Problematic Social Media Use, Sleep Quality and Psychological Distress.

    Hiu Yan Wong;Hoi Yi Mo;Marc N. Potenza;Mung Ni Monica Chan

  • Sleep problems during COVID-19 pandemic and its’ association to psychological distress: A systematic review and meta-analysis

    Zainab Alimoradi;Anders Broström;Anders Broström;Hector W.H. Tsang;Mark D. Griffiths

  • Measurement invariance across young adults from Hong Kong and Taiwan among three internet-related addiction scales: Bergen Social Media Addiction Scale (BSMAS), Smartphone Application-Based Addiction Scale (SABAS), and Internet Gaming Disorder Scale-Short Form (IGDS-SF9) (Study Part A).

    Hildie Leung;Amir H. Pakpour;Carol Strong;Yi-Ching Lin

  • Fear of COVID-19 and its association with mental health-related factors: systematic review and meta-analysis

    Unknown

  • Investigating mediated effects of fear of COVID-19 and COVID-19 misunderstanding in the association between problematic social media use, psychological distress, and insomnia.

    Chung Ying Lin;Anders Broström;Anders Broström;Mark D. Griffiths;Amir H. Pakpour;Amir H. Pakpour

  • The COVID-19 pandemic and serious psychological consequences in Bangladesh: A population-based nationwide study.

    Mohammed A. Mamun;Najmuj Sakib;David Gozal;Akm Israfil Bhuiyan

  • Psychometric validation of the Persian Bergen Social Media Addiction Scale using classic test theory and Rasch models

    Chung Ying Lin;Anders Broström;Per Nilsen;Mark D. Griffiths

  • Time invariance of three ultra-brief internet-related instruments: Smartphone Application-Based Addiction Scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), and the nine-item Internet Gaming Disorder Scale- Short Form (IGDS-SF9) (Study Part B).

    I-Hua Chen;Carol Strong;Yi-Ching Lin;Meng-Che Tsai

  • Weight-related stigma and psychological distress: A systematic review and meta-analysis.

    Zainab Alimoradi;Farzaneh Golboni;Mark D. Griffiths;Anders Broström

  • Associations Between Fear of COVID-19, Mental Health, and Preventive Behaviours Across Pregnant Women and Husbands: An Actor-Partner Interdependence Modelling.

    Daniel Kwasi Ahorsu;Vida Imani;Chung Ying Lin;Toomas Timpka

  • Psychometric Testing of Three Chinese Online-Related Addictive Behavior Instruments among Hong Kong University Students

    Chun Wai Yam;Amir H. Pakpour;Amir H. Pakpour;Mark D. Griffiths;Wai Yan Yau

  • Depression, anxiety, and stress mediate the associations between internet gaming disorder, insomnia, and quality of life during the COVID-19 outbreak

    Sara Fazeli;Isa Mohammadi Zeidi;Chung Ying Lin;Peyman Namdar

  • Effects of cognitive behavioral therapy for insomnia (CBT-I) on quality of life: A systematic review and meta-analysis.

    Unknown

  • Comparing generalized and specific problematic smartphone/internet use: Longitudinal relationships between smartphone application-based addiction and social media addiction and psychological distress

    I-Hua Chen;Amir H Pakpour;Amir H Pakpour;Hildie Leung;Marc N Potenza

  • Association Between Smartphone Use and Musculoskeletal Discomfort in Adolescent Students

    Shang Yu Yang;Ming De Chen;Yueh Chu Huang;Chung Ying Lin

  • Problematic internet-related behaviors mediate the associations between levels of internet engagement and distress among schoolchildren during COVID-19 lockdown: A longitudinal structural equation modeling study.

    I-Hua Chen;Chao-Ying Chen;Chao-Ying Chen;Amir H Pakpour;Mark D Griffiths

  • Anxiety and Suicidal Thoughts During the COVID-19 Pandemic: Cross-Country Comparative Study Among Indonesian, Taiwanese, and Thai University Students

    Iqbal Pramukti;Iqbal Pramukti;Carol Strong;Yajai Sitthimongkol;Agus Setiawan

  • Using an integrated social cognition model to predict COVID-19 preventive behaviours.

    Chung Ying Lin;Vida Imani;Nilofar Rajabi Majd;Zahra Ghasemi

  • Internet-Related Behaviors and Psychological Distress Among Schoolchildren During COVID-19 School Suspension.

    I-Hua Chen;Chao-Ying Chen;Amir H. Pakpour;Mark D. Griffiths

  • Extended theory of planned behavior in explaining the intention to COVID-19 vaccination uptake among mainland Chinese university students: an online survey study.

    Chia-Wei Fan;I-Hua Chen;I-Hua Chen;Nai-Ying Ko;Cheng-Fang Yen

Frequent Co-Authors

Amir H. Pakpour
Amir H. Pakpour Jönköping University
Mark D. Griffiths
Mark D. Griffiths Nottingham Trent University
Cheng-Fang Yen
Cheng-Fang Yen Kaohsiung Medical University
Janet D. Latner
Janet D. Latner University of Hawaii at Manoa
Marc N. Potenza
Marc N. Potenza Yale University
Maurice M. Ohayon
Maurice M. Ohayon Stanford University
Bengt Fridlund
Bengt Fridlund Linnaeus University
Per Nilsen
Per Nilsen Linköping University
Kerry S. O'Brien
Kerry S. O'Brien Monash University
Harold G. Koenig
Harold G. Koenig Duke University

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Related Online Degrees & Career Pathways

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For those planning to practice in Massachusetts, understanding the Boston mft certification requirements is essential. Likewise, future therapists in New York should explore the Buffalo mft education requirements. Reviewing these resources will help you choose the right online program and guide you through the necessary steps to launch your career in psychology.

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