Bada Yang

21 papers receiving 403 citations

Bada Yang's Hit Papers

QUADAS-C: A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies 2021 · 196 citations
1960+1+3Years since publication50100150

Peers

Bada Yang
Comparison fields: 5 of 98
  • Health Informatics 18
  • Medical Terminology 2
  • Statistics, Probability and Uncertainty 40
  • Infectious Diseases 91
  • Radiology, Nuclear Medicine and Imaging 80
Replace Sibtain Ahmed with:
Sibtain Ahmed Pakistan
Ype de Jong Netherlands
Allen Li Canada
Yiannis Philippou United Kingdom
Charlotte Bolch United States
Christopher Pennell United States
Jules Grégory France
Wim A M Lucassen Netherlands
Piero Cappelletti Italy
Pinggui Lei China
Bada Yang relative to Sibtain Ahmed Pakistan Sibtain Ahmed's profile →
Citations per field
00.5×4.7×
Sibtain Ahmed · 1×
Citations per year

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 23 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 →
2021196
2 202056
3 202143
4 202131
5 201915
6 202014
7 20207
8 20256
9 20235
10 20235
11 20185
12 20215
13 20204
14 20234
15 20153
16 20252
17 20252
18 20242
19 20242
20 20251

About Bada Yang

Bada Yang is a scholar working on Infectious Diseases, Statistics, Probability and Uncertainty, Epidemiology, Economics and Econometrics and General Health Professions, having authored 23 papers that have together received 409 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (7 papers), Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Reliability and Agreement in Measurement (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Migraine and Headache Studies (2 papers) and Leptospirosis research and findings (2 papers). The work is most often cited by research in Health Informatics (18 citations), Medical Terminology (2 citations), Statistics, Probability and Uncertainty (40 citations), Infectious Diseases (91 citations) and Radiology, Nuclear Medicine and Imaging (80 citations). Bada Yang has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Mariska Leeflang, Yemisi Takwoingi, Christopher Hyde, Clare Davenport, Jonathan J Deeks, Penny Whiting, Susan Mallett, Miranda Langendam, Patrick M. Bossuyt and Monica Hultcrantz. Their work appears in journals such as Journal of Clinical Epidemiology, Cochrane Database of Systematic Reviews, Annals of Internal Medicine, Radiology and Research Synthesis Methods.

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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