Wing Lam

6.0k citations
116 papers · 4.7k · h-index 37

Impact in

Papers in

    • Software Testing and Debugging Techniques 26
    • Software Reliability and Analysis Research 18
    • Software Engineering Research 24

Wing Lam

110 papers receiving 4.5k citations

Peers

Wing Lam
Comparison fields: 5 of 176
  • Software 975
  • Health Informatics 110
  • Information Systems 968
  • Pharmacology 324
  • Management Information Systems 344
Replace Florian Daniel with:
Florian Daniel Italy
Michael R. Berthold Germany
Qing Wang China
Yulan He United Kingdom
Balasubramaniam Ramesh United States
Jaewoo Kang South Korea
Robert Stevens United Kingdom
Reda Alhajj Canada
Elena Marchiori Netherlands
Jeffrey J. P. Tsai United States
Wing Lam relative to Florian Daniel Italy Florian Daniel's profile →
Citations per field
00.5×5×10×15×18.3×
Florian Daniel · 1×
Citations per year

Countries citing papers authored by Wing Lam

Since Specialization
Citations

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

Fields of papers citing papers by Wing Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010307
2 2005224
3 2015214
4 2023178
5 2005165
6 2004142
7 2017131
8 2019127
9 2018123
10 2014123
11 2005120
12 2005120
13 2007117
14 2019110
15 2016108
16 2010102
17 2019101
18 2015100
19 201996
20 201894

About Wing Lam

Wing Lam is a scholar working on Software, Information Systems, Management Information Systems, Oncology and Pharmacology, having authored 116 papers that have together received 4.7k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (26 papers), Software Engineering Research (24 papers), Software Reliability and Analysis Research (18 papers), Information Technology Governance and Strategy (8 papers), Advanced Malware Detection Techniques (8 papers), HIV/AIDS drug development and treatment (6 papers), Knowledge Management and Sharing (6 papers) and Business Process Modeling and Analysis (5 papers). The work is most often cited by research in Software (975 citations), Health Informatics (110 citations), Information Systems (968 citations), Pharmacology (324 citations) and Management Information Systems (344 citations). Wing Lam has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yung‐Chi Cheng, Zaoli Jiang, Alton Y.K. Chua, Tao Xie, Shwu-Huey Liu, Fulan Guan, Scott Bussom, Darko Marinov, Yung-Chi Cheng and Ginger E. Dutschman. Their work appears in journals such as Molecular Pharmacology, Scientific Reports, Frontiers in Pharmacology, Journal of the Association for Information Systems and Journal of Biological Chemistry.

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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