Bada Yang

21 papers receiving 658 citations

Bada Yang's Hit Papers

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods 2025 · 215 citations
2150+1+3Years since publication50100150200

Peers

Bada Yang
Comparison fields: 5 of 97
  • Health Informatics 78
  • Statistics, Probability and Uncertainty 61
  • Infectious Diseases 111
  • Critical Care and Intensive Care Medicine 14
  • Health Information Management 26
Replace X. Borrat with:
X. Borrat Spain
Joseph Edward Alderman United Kingdom
Jon Arni Steingrimsson United States
Christian Haverkamp Germany
Sandrine Ding Switzerland
Masatomi Ikusaka Japan
Jonathan C. L. Rodrigues United Kingdom
Lester Y. Leung United States
Salil Singh United Kingdom
Sven Kehl Germany
Bada Yang relative to X. Borrat Spain X. Borrat's profile →
Citations per field
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X. Borrat · 1×
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Countries citing papers authored by Bada Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bada Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bada Yang, 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 Bada Yang Line = papers co-authored together Bada Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
QUADAS-C: A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies
Hit paper breakdown →
2021232
2
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
Hit paper breakdown →
2025215
3 202063
4 202148
5 202227
6 201918
7 202016
8 202510
9 20238
10 20237
11 20236
12 20215
13 20153
14 20263
15 20242
16 20242
17 20252
18 20252
19 20241
20 20251

About Bada Yang

Bada Yang is a scholar working on Statistics, Probability and Uncertainty, Infectious Diseases, Parasitology, Psychiatry and Mental health and Emergency Medical Services, having authored 24 papers that have together received 672 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (11 papers), Tuberculosis Research and Epidemiology (4 papers), COVID-19 Clinical Research Studies (2 papers), Migraine and Headache Studies (2 papers), Leptospirosis research and findings (2 papers), Telemedicine and Telehealth Implementation (1 paper), Pneumonia and Respiratory Infections (1 paper) and Academic Writing and Publishing (1 paper). The work is most often cited by research in Health Informatics (78 citations), Statistics, Probability and Uncertainty (61 citations), Infectious Diseases (111 citations), Critical Care and Intensive Care Medicine (14 citations) and Health Information Management (26 citations). Bada Yang has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Mariska Leeflang, Clare F Davenport, Jonathan J Deeks, Yemisi Takwoingi, Susan V. Mallett, Penny F. Whiting, Christopher Hyde, Miranda W. Langendam, Patrick M Bossuyt and Monica Hultcrantz. Their work appears in journals such as Cochrane Database of Systematic Reviews, Journal of Clinical Epidemiology, Annals of Internal Medicine, BMJ and Radiology.

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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