Pak‐Lok Poon

1.4k citations
54 papers · 896 indexed · 1 hit paper · h-index 14
Topics
Software Testing and Debugging Techniques (34 papers)Software Reliability and Analysis Research (26 papers)Software Engineering Research (24 papers)
Partner nations
AustraliaHong KongChina

In The Last Decade

Pak‐Lok Poon

50 papers receiving 847 citations

Hit Papers

Metamorphic Testing20182026202020232018100200300

Peers

Pak‐Lok Poon
Comparison fields: 5 of 81
  • Software 599
  • Information Systems 345
  • Artificial Intelligence 233
  • Computer Networks and Communications 163
  • Signal Processing 90
Replace Cem Kaner with:
Cem Kaner United States
Yuen Tak Yu Hong Kong
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Paulo César Masiero Brazil
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Lian Yu China
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Maurizio Leotta Italy
J. Voas United States
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Citations per field
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Cem Kaner · 1×
Citations per year

Countries citing papers authored by Pak‐Lok Poon

Since Specialization
Citations

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

Fields of papers citing papers by Pak‐Lok Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pak‐Lok Poon. 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 Pak‐Lok Poon. The network helps show where Pak‐Lok Poon may publish in the future.

Co-authorship network of co-authors of Pak‐Lok Poon

This figure shows the co-authorship network connecting the top 25 collaborators of Pak‐Lok Poon. A scholar is included among the top collaborators of Pak‐Lok Poon 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 Pak‐Lok Poon. Pak‐Lok Poon 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
#WorkIndexed citations
1 0
2 1
3 3
4 1
5 1
6 1
7 3
8 1
9 4
10 33
11 5
12
How do environmental enterprise systems contribute to sustainability value? A practitioner-oriented framework
1
13 1
14
Degree of internet corporate reporting : a research framework
5
15
Image compression with multiple JPEG
0
16 4
17 13
18 10
19
Analysing the category-partition method and the classification-tree method for software testing
1
20 32

About Pak‐Lok Poon

Pak‐Lok Poon is a scholar working on Software, Information Systems and Management Information Systems, having authored 54 papers that have together received 896 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (34 papers), Software Reliability and Analysis Research (26 papers) and Software Engineering Research (24 papers). The work is most often cited by research in Software (599 citations), Information Systems (345 citations) and Hardware and Architecture (61 citations). Pak‐Lok Poon has collaborated with scholars based in Australia, Hong Kong and China. Frequent co-authors include Tsong Yueh Chen, T.H. Tse, Huai Liu, Fei‐Ching Kuo, Dave Towey, Zhi Quan Zhou, Xiaoyuan Xie, Yuen Tak Yu, Kun Qiu and Zheng Zheng. Their work appears in journals such as Communications of the ACM, ACM Computing Surveys and IEEE Transactions on Software Engineering.

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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