Yin Wu

3.5k total citations · 3 hit papers
34 papers, 1.1k citations indexed

About

Yin Wu is a scholar working on General Health Professions, Social Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yin Wu has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in General Health Professions, 5 papers in Social Psychology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yin Wu's work include Cardiovascular and exercise physiology (3 papers), Mental Health Research Topics (3 papers) and Physical Activity and Health (3 papers). Yin Wu is often cited by papers focused on Cardiovascular and exercise physiology (3 papers), Mental Health Research Topics (3 papers) and Physical Activity and Health (3 papers). Yin Wu collaborates with scholars based in United States, China and Canada. Yin Wu's co-authors include Brett D. Thombs, Brooke Levis, Andrea Benedetti, Dipika Neupane, Zelalem Negeri, Parash Mani Bhandari, Ankur Krishnan, Ying Sun, Zhiqin Sang and Jürgen Margraf and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yin Wu

28 papers receiving 1.1k citations

Hit Papers

Accuracy of the PHQ-2 Alo... 2020 2026 2022 2024 2020 2021 2021 100 200 300
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. Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression
    2020 330 citations Brooke Levis, Ying Sun et al. JAMA profile →
  2. Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysis
    2021 177 citations Zelalem Negeri, Brooke Levis et al. BMJ profile →
  3. Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis
    2021 138 citations Yin Wu, Brooke Levis et al. BMJ profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yin Wu United States 13 374 200 165 130 126 34 1.1k
Parash Mani Bhandari Nepal 13 307 0.8× 159 0.8× 188 1.1× 155 1.2× 151 1.2× 23 1.1k
Dipika Neupane Canada 11 299 0.8× 155 0.8× 144 0.9× 124 1.0× 154 1.2× 14 901
Emily P. Taylor United Kingdom 13 572 1.5× 170 0.8× 206 1.2× 104 0.8× 134 1.1× 36 1.2k
Linda Kwakkenbos Netherlands 20 418 1.1× 161 0.8× 166 1.0× 147 1.1× 127 1.0× 103 1.4k
Sun Jae Jung South Korea 17 331 0.9× 78 0.4× 125 0.8× 181 1.4× 138 1.1× 100 1.1k
Yuqiu Zhou China 15 271 0.7× 153 0.8× 108 0.7× 91 0.7× 92 0.7× 92 810
Rina S. Fox United States 18 353 0.9× 199 1.0× 197 1.2× 172 1.3× 200 1.6× 64 1.3k
Joke Fleer Netherlands 25 403 1.1× 149 0.7× 181 1.1× 139 1.1× 161 1.3× 91 1.4k
Nancy Lau United States 20 440 1.2× 139 0.7× 151 0.9× 138 1.1× 100 0.8× 49 1.3k
Yuan‐Mei Liao Taiwan 22 281 0.8× 183 0.9× 287 1.7× 144 1.1× 192 1.5× 63 1.5k

Countries citing papers authored by Yin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yin Wu. A scholar is included among the top collaborators of Yin Wu 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 Yin Wu. Yin Wu 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
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Wang, Shixuan, et al.. (2024). Optimization of diagnosis and treatment of hematological diseases via artificial intelligence. Frontiers in Medicine. 11. 1487234–1487234. 7 indexed citations
4.
Chen, Shiqi, et al.. (2023). Evaluation of Exercise Mobile Applications for Adults with Cardiovascular Disease Risk Factors. Journal of Cardiovascular Development and Disease. 10(12). 477–477. 1 indexed citations
5.
Wu, Yin, Ying Sun, Brooke Levis, et al.. (2023). Depression screening tool accuracy individual participant data meta-analyses: data contribution was associated with multiple factors. Journal of Clinical Epidemiology. 162. 63–71.
6.
Gordon, Jessica, Yin Wu, Linda Kwakkenbos, et al.. (2022). Systemic sclerosis and COVID-19 vaccines: a SPIN Cohort study. UCL Discovery (University College London). 9 indexed citations
7.
Wu, Yin, Brooke Levis, Ying Sun, et al.. (2021). Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis. BMJ. 373. n972–n972. 138 indexed citations breakdown →
8.
Moore, Ainsley, Yin Wu, Linda Kwakkenbos, et al.. (2021). The patient engagement evaluation tool was valid for clinical practice guideline development. Journal of Clinical Epidemiology. 143. 61–72. 13 indexed citations
9.
Negeri, Zelalem, Brooke Levis, Ying Sun, et al.. (2021). Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysis. BMJ. 375. n2183–n2183. 177 indexed citations breakdown →
10.
Wu, Yin, et al.. (2021). Telehealth Adaptation for Multidisciplinary Colorectal Cancer Clinic During the COVID-19 Pandemic. Cureus. 13(9). e17848–e17848. 5 indexed citations
11.
Levis, Brooke, Ying Sun, Chen He, et al.. (2020). Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression. JAMA. 323(22). 2290–2290. 330 indexed citations breakdown →
12.
Wu, Yin, et al.. (2020). [Study on the quality of life and influencing factors of pneumoconiosis in migrant workers].. PubMed. 38(9). 682–685. 3 indexed citations
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Wu, Yin, Zhiqin Sang, Xiao-Chi Zhang, & Jürgen Margraf. (2020). The Relationship Between Resilience and Mental Health in Chinese College Students: A Longitudinal Cross-Lagged Analysis. Frontiers in Psychology. 11. 108–108. 151 indexed citations
15.
Dong, Bei, et al.. (2019). Mindfulness-based stress reduction can alleviate cancer- related fatigue: A meta-analysis. Journal of Psychosomatic Research. 130. 109916–109916. 59 indexed citations
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Sang, Zhiqin, et al.. (2018). The Spread and Development of Psychodrama in Mainland China. Frontiers in Psychology. 9. 1368–1368. 4 indexed citations
19.
Pan, Chen‐Wei, et al.. (2018). Health-Related Quality of Life and Its Factors of Hemodialysis Patients in Suzhou, China. Blood Purification. 45(4). 327–333. 17 indexed citations
20.
Wu, Yin, et al.. (2016). Clinical and EEG features of ischemic stroke patients with abnormal discharges. SHILAP Revista de lepidopterología.

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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