W. Eric Wong

922 total citations
32 papers, 678 citations indexed

About

W. Eric Wong is a scholar working on Software, Information Systems and Genetics. According to data from OpenAlex, W. Eric Wong has authored 32 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Software, 9 papers in Information Systems and 7 papers in Genetics. Recurrent topics in W. Eric Wong's work include Software Reliability and Analysis Research (10 papers), Software Testing and Debugging Techniques (10 papers) and Software Engineering Research (8 papers). W. Eric Wong is often cited by papers focused on Software Reliability and Analysis Research (10 papers), Software Testing and Debugging Techniques (10 papers) and Software Engineering Research (8 papers). W. Eric Wong collaborates with scholars based in United States, China and Netherlands. W. Eric Wong's co-authors include Vidroha Debroy, Dianxiang Xu, Cathy E. Shin, Wes Onland, Teresa Rushing, Darleen Powars, Linda S. Chan, Tinghuai Ma, Ruben J. Acherman and Emily Ramicone and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and IEEE Access.

In The Last Decade

W. Eric Wong

26 papers receiving 655 citations

Peers

W. Eric Wong
Comparison fields: 5 of 108
  • Software 251
  • Information Systems 235
  • Genetics 168
  • Hematology 145
  • Computer Networks and Communications 94
Replace Masaki Yamamoto with:
Masaki Yamamoto Japan
J. Rees United Kingdom
Joakim Johansson Sweden
Seung Han Kim South Korea
John J. O’Donnell United States
Andrew King United Kingdom
Elizabeth Cooper United States
David S. Johnson United Kingdom
Hemal Shah United States
Cheng-Han Tsai Taiwan
Masaki Yamamoto Japan View profile →
Citations per field, relative to W. Eric Wong
W. Eric Wong · 1×
Citations per year, relative to W. Eric Wong
W. Eric Wong · 1×

Countries citing papers authored by W. Eric Wong

Since Specialization
Citations

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

Fields of papers citing papers by W. Eric Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Eric Wong. 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 W. Eric Wong. The network helps show where W. Eric Wong may publish in the future.

Co-authorship network of co-authors of W. Eric Wong

This figure shows the co-authorship network connecting the top 25 collaborators of W. Eric Wong. A scholar is included among the top collaborators of W. Eric Wong 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 W. Eric Wong. W. Eric Wong 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
# Work Indexed citations
1 0
2 0
3 1
4 0
5 24
6 2
7 7
8 20
9 78
10 13
11 7
12 12
13 98
14 14
15 70
16 1
17 27
18 29
19 4
20 34

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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