Chiou Peng Lam

702 total citations
49 papers, 426 citations indexed

About

Chiou Peng Lam is a scholar working on Software, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Chiou Peng Lam has authored 49 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Software, 16 papers in Artificial Intelligence and 15 papers in Computer Networks and Communications. Recurrent topics in Chiou Peng Lam's work include Software Testing and Debugging Techniques (18 papers), Software Reliability and Analysis Research (14 papers) and Software System Performance and Reliability (14 papers). Chiou Peng Lam is often cited by papers focused on Software Testing and Debugging Techniques (18 papers), Software Reliability and Analysis Research (14 papers) and Software System Performance and Reliability (14 papers). Chiou Peng Lam collaborates with scholars based in Australia, China and United States. Chiou Peng Lam's co-authors include Huaizhong Li, Martin Mašek, Philip Hingston, Dong Xu, John Morris, Jocelyn Armarego, Erwin Adi, Xiaoqing Bai, Zubair Baig and Keng T. Tan and has published in prestigious journals such as IEEE Access, Sensors and Pattern Recognition.

In The Last Decade

Chiou Peng Lam

47 papers receiving 379 citations

Peers

Chiou Peng Lam
Comparison fields: 5 of 56
  • Software 246
  • Information Systems 182
  • Computer Networks and Communications 131
  • Artificial Intelligence 114
  • Signal Processing 31
Mohammad Ubaidullah Bokhari India
João Pascoal Faria Portugal
Bernhard Peischl Austria
Ernst A. Heinz Switzerland
Philip A. Laplante United States
Susan S. Brilliant United States
Pavol Bielik Switzerland
Ye Wu China
Dídac Gil de la Iglesia Sweden
R. Venkatesh India
Mohammad Ubaidullah Bokhari India View profile →
Citations per field, relative to Chiou Peng Lam
Chiou Peng Lam · 1×
Citations per year, relative to Chiou Peng Lam
Chiou Peng Lam · 1×

Countries citing papers authored by Chiou Peng Lam

Since Specialization
Citations

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

Fields of papers citing papers by Chiou Peng Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiou Peng Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Chiou Peng Lam. A scholar is included among the top collaborators of Chiou Peng Lam 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 Chiou Peng Lam. Chiou Peng Lam 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
# Title Journal Authors Indexed citations
1 A Novel Improvement of Feature Selection for Dynamic Hand Gesture Identification Based on Double Machine Learning Sensors Chiou Peng Lam, Simon Fong et al. 1
2 Interactive Evolutionary Computation for Strategy Discovery in Multi-Phase Operations Martin Mašek, Chiou Peng Lam et al. 1
3 The Open Maritime Traffic Analysis Dataset Australasian Journal of Paramedicine Martin Mašek, Chiou Peng Lam et al. 1
4 Discovering optimal strategy in tactical combat scenarios through the evolution of behaviour trees Annals of Operations Research Martin Mašek, Chiou Peng Lam et al. 2
5 Modeling perceived difficulty in game levels Australasian Journal of Paramedicine Martin Mašek, Chiou Peng Lam et al. 9
6 Dynamic Difficulty Adjustment in 2D Platformers through Agent-Based Procedural Level Generation Australasian Journal of Paramedicine Martin Mašek, Chiou Peng Lam et al. 8
7 Remote home-based ante and post natal care Australasian Journal of Paramedicine Martin Mašek, Chiou Peng Lam et al. 3
8 Mutation Analysis for the Evaluation of AD Models Australasian Journal of Paramedicine Chiou Peng Lam et al. 3
9 A systematic approach to automatically generate test scenarios from UML activity diagrams Australasian Journal of Paramedicine Dong Xu, Huaizhong Li et al. 5
10 A bipartite graph approach to generate optimal test sequences for protocol conformance testing using the Wp-method Jim J. Wang, Jie Xiao et al. 3
11 A Risk Analysis Approach to Prioritize UML-Based Software Testing. Xiaoqing Bai, Huaizhong Li et al. 2
12 Consistency checking between use case scenarios and UML sequence diagrams. Jim Ivins, Chiou Peng Lam et al. 2
13 Learning to select software components Murdoch Research Repository (Murdoch University) Jocelyn Armarego, Chiou Peng Lam et al. 1
14 An approach to generate the thin-threads from the UML diagrams Australasian Journal of Paramedicine Xiaoqing Bai, Chiou Peng Lam et al. 15
15 Application of AI for Automation of Software Testing Australasian Journal of Paramedicine Chiou Peng Lam, Huaizhong Li et al. 2
16 An Evolutionary Approach for Optimisation of State-Based Test Suites for Software Systems Australasian Journal of Paramedicine Huaizhong Li, Chiou Peng Lam 1
17 Heuristics for image retrieval using spatial configurations Australasian Journal of Paramedicine William F. Smyth, Chiou Peng Lam et al. 3
18 Obtaining functional parametric models using active vision strategies Pattern Recognition Chiou Peng Lam, Geoff West et al. 0
19 Software component certification Computer John Morris, Chiou Peng Lam et al. 43
20 Retrieval of images using similarity based queries Deakin Research Online (Deakin University) H. Raman, S. Venkatesh et al. 2

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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