Danny Yang

610 citations
4 papers · 372 · 1 hit paper · h-index 3

Impact in

Papers in

Danny Yang

4 papers receiving 354 citations

Danny Yang's Hit Papers

Blockchain Technology in Finance 2017 · 334 citations
3340+3+6Years since publication100200300

Peers

Danny Yang
Comparison fields: 5 of 69
  • Information Systems 291
  • Management Information Systems 101
  • Computer Networks and Communications 92
  • Health Informatics 3
  • Artificial Intelligence 65
Replace S. Jagannatha with:
S. Jagannatha India
B. N. Nithya India
Manu Sporny United Kingdom
Daniel Tse Hong Kong
Jens Heidrich Germany
Anastas Mishev North Macedonia
Maria Ilaria Lunesu Italy
Niclas Kannengießer Germany
Sin Kuang Lo Australia
Eman AbuKhousa United Arab Emirates
Danny Yang relative to S. Jagannatha India S. Jagannatha's profile →
Citations per field
00.5×1.5×2.4×
S. Jagannatha · 1×
Citations per year

Countries citing papers authored by Danny Yang

Since Specialization
Citations

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

Fields of papers citing papers by Danny Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Danny 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 Danny Yang Line = papers co-authored together Danny Yang links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Blockchain Technology in Finance
Hit paper breakdown →
2017334
2 201930
3 20227
4
Evaluating Methodologies to Increase Internet Responses in Mixed-Mode Surveys
20111

About Danny Yang

Danny Yang is a scholar working on Occupational Therapy, Critical Care and Intensive Care Medicine, Management Information Systems, Sociology and Political Science and Epidemiology, having authored 4 papers that have together received 372 indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (1 paper), Nosocomial Infections in ICU (1 paper), Safe Handling of Antineoplastic Drugs (1 paper), Survey Sampling and Estimation Techniques (1 paper), Quality and Safety in Healthcare (1 paper), FinTech, Crowdfunding, Digital Finance (1 paper), Patient Safety and Medication Errors (1 paper) and Focus Groups and Qualitative Methods (1 paper). The work is most often cited by research in Information Systems (291 citations), Management Information Systems (101 citations), Computer Networks and Communications (92 citations), Health Informatics (3 citations) and Artificial Intelligence (65 citations). Danny Yang has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Philip Treleaven, Anil N. Makam, David Zhang and Patricia Trbovich. Their work appears in journals such as The American Journal of Medicine, American Journal of Health-System Pharmacy and Computer.

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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