Weider D. Yu

519 citations
41 papers · 344 · h-index 11

Impact in

  • Software top 10%
    • Software Reliability and Analysis Research
    • Spam and Phishing Detection
    • Software Engineering Research
    • User Authentication and Security Systems
    • Service-Oriented Architecture and Web Services
    • Software Engineering Techniques and Practices

Papers in

Weider D. Yu

38 papers receiving 309 citations

Peers

Weider D. Yu
Comparison fields: 5 of 56
  • Software 41
  • Information Systems 219
  • Health Information Management 35
  • Signal Processing 58
  • Computer Networks and Communications 115
Replace Steven A. Demurjian with:
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Citations per field
00.5×8.5×
Steven A. Demurjian · 1×
Citations per year

Countries citing papers authored by Weider D. Yu

Since Specialization
Citations

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

Fields of papers citing papers by Weider D. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weider D. Yu. 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 Weider D. Yu. The network helps show where Weider D. Yu may publish in the future.

Co-authors

The 6 scholars most cited alongside Weider D. Yu, 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 Weider D. Yu Line = papers co-authored together Weider D. Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200942
2 200840
3 200228
4 200719
5 199018
6 200817
7 201316
8 200715
9 200813
10 201213
11 201112
12 198810
13 20099
14 20088
15 20157
16 20096
17 20086
18 20166
19 20146
20 20075

About Weider D. Yu

Weider D. Yu is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Health Information Management and Sociology and Political Science, having authored 41 papers that have together received 344 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (7 papers), Software Reliability and Analysis Research (5 papers), IoT and Edge/Fog Computing (4 papers), Software Engineering Research (4 papers), Software Engineering Techniques and Practices (4 papers), Advanced Software Engineering Methodologies (3 papers), Big Data and Business Intelligence (3 papers) and Access Control and Trust (3 papers). The work is most often cited by research in Software (41 citations), Information Systems (219 citations), Health Information Management (35 citations), Signal Processing (58 citations) and Computer Networks and Communications (115 citations). Weider D. Yu has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Pradeep Ray, N. Parameswaran, Victor Chan, Margaret Chan, Vishal K. Mehta and Chen Yan. Their work appears in journals such as Bell Labs Technical Journal, Telemedicine Journal and e-Health, Journal of Telemedicine and Telecare, SIMULATION and International Journal of E-Health and Medical Communications.

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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