Pak‐Lok Poon

1.4k total citations · 1 hit paper
54 papers, 896 citations indexed

About

Pak‐Lok Poon is a scholar working on Software, Information Systems and Artificial Intelligence. According to data from OpenAlex, Pak‐Lok Poon has authored 54 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Software, 24 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Pak‐Lok Poon's work include Software Testing and Debugging Techniques (34 papers), Software Reliability and Analysis Research (26 papers) and Software Engineering Research (24 papers). Pak‐Lok Poon is often cited by papers focused on Software Testing and Debugging Techniques (34 papers), Software Reliability and Analysis Research (26 papers) and Software Engineering Research (24 papers). Pak‐Lok Poon collaborates with scholars based in Australia, Hong Kong and China. Pak‐Lok Poon's 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 and has published in prestigious journals such as Communications of the ACM, ACM Computing Surveys and IEEE Transactions on Software Engineering.

In The Last Decade

Pak‐Lok Poon

50 papers receiving 847 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Metamorphic Testing

2018 380 citations Tsong Yueh Chen, Huai Liu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pak‐Lok Poon Australia	14	599	345	233	163	90	54	896
Yuen Tak Yu Hong Kong	11	391 0.7×	251 0.7×	101 0.4×	106 0.7×	61 0.7×	30	666
Cem Kaner United States	14	534 0.9×	551 1.6×	159 0.7×	205 1.3×	64 0.7×	35	895
Carlo A. Furia Switzerland	18	668 1.1×	743 2.2×	261 1.1×	223 1.4×	121 1.3×	61	1.1k
Jens Grabowski Germany	16	609 1.0×	734 2.1×	239 1.0×	335 2.1×	54 0.6×	87	1.1k
Lian Yu China	15	222 0.4×	442 1.3×	232 1.0×	393 2.4×	72 0.8×	57	764
Miroslaw Staron Sweden	17	562 0.9×	836 2.4×	280 1.2×	186 1.1×	35 0.4×	165	1.2k
Javier Troya Spain	17	594 1.0×	420 1.2×	291 1.2×	307 1.9×	42 0.5×	67	909
Johannes Sametinger Austria	12	156 0.3×	422 1.2×	299 1.3×	165 1.0×	88 1.0×	55	699
Stephen R. Schach United States	17	357 0.6×	618 1.8×	289 1.2×	259 1.6×	40 0.4×	51	944
Paulo César Masiero Brazil	14	447 0.7×	531 1.5×	304 1.3×	165 1.0×	29 0.3×	86	800

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Qiu, Kun, et al.. (2025). MT-Boost: A metamorphic-testing based training method for enhancing the robustness of deep neural network classifiers. Information and Software Technology. 189. 107902–107902.

2.

Qiu, Kun, et al.. (2024). Improving the validation of multiple-object detection using a complex-network-community-based relevance metric. Knowledge-Based Systems. 299. 112027–112027. 1 indexed citations

3.

Poon, Pak‐Lok, et al.. (2024). Australia’s FinTech leaders: Education, work experience, and eagerness of self-employment. Journal of Open Innovation Technology Market and Complexity. 10(2). 100286–100286. 3 indexed citations

4.

Poon, Pak‐Lok, et al.. (2024). Employment and Career Prospects of Technical-Oriented Jobs in the FinTech Market. Journal of the Association for Information Systems. 35(2). 203–217. 1 indexed citations

5.

Qiu, Kun, et al.. (2024). Using Metamorphic Relations to Improve Accuracy and Robustness of Deep Neural Networks. 2–9. 1 indexed citations

6.

Poon, Pak‐Lok, et al.. (2024). An Effective Teaching Pedagogy Involving an Online Learning Platform under a Multi-Campus Teaching Model. Technology Knowledge and Learning. 30(3). 1561–1576. 1 indexed citations

7.

Poon, Pak‐Lok, et al.. (2024). Spreadsheet quality assurance: a literature review. Frontiers of Computer Science. 18(2). 3 indexed citations

8.

Zheng, Tao, et al.. (2023). Using Complex Network Communities to Evaluate the Correctness of Object Detection. 743–750. 1 indexed citations

9.

Qiu, Kun, et al.. (2020). Using Metamorphic Testing to Evaluate DNN Coverage Criteria. Swinburne Research Bank (Swinburne University of Technology). 147–148. 4 indexed citations

10.

Sun, Chang‐ai, et al.. (2019). METRIC+: A Metamorphic Relation Identification Technique Based on Input plus Output Domains. IEEE Transactions on Software Engineering. 1–1. 33 indexed citations

11.

Poon, Pak‐Lok, Huai Liu, & Tsong Yueh Chen. (2017). Error Trapping and Metamorphic Testing for Spreadsheet Failure Detection. Journal of Organizational and End User Computing. 29(2). 25–42. 5 indexed citations

12.

Hoang, Giang, Alemayehu Molla, & Pak‐Lok Poon. (2016). How do environmental enterprise systems contribute to sustainability value? A practitioner-oriented framework. Journal of the Association for Information Systems. 1–12. 1 indexed citations

13.

Liu, Huai, Pak‐Lok Poon, & Tsong Yueh Chen. (2015). Enhancing partition testing through output variation. International Conference on Software Engineering. 805–806. 1 indexed citations

14.

Poon, Pak‐Lok & Yuen Tak Yu. (2012). Degree of internet corporate reporting : a research framework. CityU Scholars. 17(1). 5 indexed citations

15.

Poon, Pak‐Lok. (2010). Image compression with multiple JPEG.

16.

Ng, Sebastian, et al.. (2003). On the testing methods used by beginning software testers. Information and Software Technology. 46(5). 329–335. 4 indexed citations

17.

Chen, Tsong Yueh & Pak‐Lok Poon. (2002). Classification-Hierarchy Table: a methodology for constructing the classification tree. 5. 93–104. 13 indexed citations

18.

Yu, Y.T., et al.. (2001). A STUDY ON A PATH-BASED STRATEGY FOR SELECTING BLACK-BOX GENERATED TEST CASES. International Journal of Software Engineering and Knowledge Engineering. 11(2). 113–138. 10 indexed citations

19.

Chen, Tsong Yueh, et al.. (2000). Analysing the category-partition method and the classification-tree method for software testing. Swinburne Research Bank (Swinburne University of Technology). 1 indexed citations

20.

Chen, Tsong Yueh, Pak‐Lok Poon, & T.H. Tse. (2000). AN INTEGRATED CLASSIFICATION-TREE METHODOLOGY FOR TEST CASE GENERATION. International Journal of Software Engineering and Knowledge Engineering. 10(6). 647–679. 32 indexed citations

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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