Melanie Po‐Leen Ooi

1.4k total citations
94 papers, 1.0k citations indexed

About

Melanie Po‐Leen Ooi is a scholar working on Statistics, Probability and Uncertainty, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Melanie Po‐Leen Ooi has authored 94 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics, Probability and Uncertainty, 20 papers in Electrical and Electronic Engineering and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Melanie Po‐Leen Ooi's work include Industrial Vision Systems and Defect Detection (16 papers), VLSI and Analog Circuit Testing (12 papers) and Scientific Measurement and Uncertainty Evaluation (11 papers). Melanie Po‐Leen Ooi is often cited by papers focused on Industrial Vision Systems and Defect Detection (16 papers), VLSI and Analog Circuit Testing (12 papers) and Scientific Measurement and Uncertainty Evaluation (11 papers). Melanie Po‐Leen Ooi collaborates with scholars based in Malaysia, New Zealand and Australia. Melanie Po‐Leen Ooi's co-authors include Ye Chow Kuang, Serge Demidenko, Arvind Rajan, Rini Akmeliawati, Sina Alaghmand, Amin Talei, Fakhrul Alam, Ruggiero Lovreglio, Lindsay Kleeman and V. Vijayaraghavan and has published in prestigious journals such as Journal of Hydrology, Optics Express and IEEE Access.

In The Last Decade

Melanie Po‐Leen Ooi

84 papers receiving 992 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melanie Po‐Leen Ooi Malaysia 19 258 166 146 135 118 94 1.0k
Ye Chow Kuang Malaysia 18 191 0.7× 144 0.9× 140 1.0× 120 0.9× 81 0.7× 104 893
Julian Blank United States 8 232 0.9× 112 0.7× 57 0.4× 74 0.5× 336 2.8× 21 1.4k
Elena Zaitseva Slovakia 20 127 0.5× 36 0.2× 98 0.7× 251 1.9× 255 2.2× 137 1.3k
Vitaly Levashenko Slovakia 20 130 0.5× 36 0.2× 94 0.6× 230 1.7× 239 2.0× 105 1.2k
Jie Jiang China 20 179 0.7× 43 0.3× 545 3.7× 71 0.5× 261 2.2× 220 1.9k
Hasan Fleyeh Sweden 16 159 0.6× 56 0.3× 432 3.0× 110 0.8× 144 1.2× 64 1.1k
B. Lindemann Germany 9 123 0.5× 264 1.6× 53 0.4× 34 0.3× 270 2.3× 13 942
Isis Didier Lins Brazil 16 63 0.2× 44 0.3× 28 0.2× 263 1.9× 120 1.0× 69 1.1k
Yong Zhao China 24 132 0.5× 68 0.4× 77 0.5× 45 0.3× 195 1.7× 144 2.0k
Shuang‐Hua Yang China 18 316 1.2× 60 0.4× 108 0.7× 110 0.8× 191 1.6× 129 1.4k

Countries citing papers authored by Melanie Po‐Leen Ooi

Since Specialization
Citations

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

Fields of papers citing papers by Melanie Po‐Leen Ooi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melanie Po‐Leen Ooi. 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 Melanie Po‐Leen Ooi. The network helps show where Melanie Po‐Leen Ooi may publish in the future.

Co-authorship network of co-authors of Melanie Po‐Leen Ooi

This figure shows the co-authorship network connecting the top 25 collaborators of Melanie Po‐Leen Ooi. A scholar is included among the top collaborators of Melanie Po‐Leen Ooi 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 Melanie Po‐Leen Ooi. Melanie Po‐Leen Ooi 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
1.
Faisal, Shah, et al.. (2025). Uncertainty Quantification and Visualization for Optimal Decision-Making in Hyperspectral Imaging-Based Precision Agriculture [Roadmap for Measurement and Applications]. IEEE Instrumentation & Measurement Magazine. 28(1). 23–32. 2 indexed citations
2.
Kuang, Ye Chow, et al.. (2025). Comprehensive Modeling of Camera Spectral and Color Behavior. 1–6.
3.
Ooi, Melanie Po‐Leen, et al.. (2025). Spectral optimization of illumination for contrast enhancement in machine vision. Optics and Lasers in Engineering. 195. 109257–109257.
4.
Sohail, Shaleeza, Melanie Po‐Leen Ooi, Boyang Li, et al.. (2024). RuralAI in Tomato Farming: Integrated Sensor System, Distributed Computing, and Hierarchical Federated Learning for Crop Health Monitoring. IEEE Sensors Letters. 8(5). 1–4. 14 indexed citations
5.
Kuang, Ye Chow & Melanie Po‐Leen Ooi. (2024). Performance Characterization of Clusterwise Linear Regression Algorithms. Wiley Interdisciplinary Reviews Computational Statistics. 16(5).
6.
Alam, Fakhrul, et al.. (2023). How to measure light pollution—A systematic review of methods and applications. Sustainable Cities and Society. 92. 104465–104465. 42 indexed citations
7.
Ooi, Melanie Po‐Leen, Ye Chow Kuang, Merilyn Manley‐Harris, et al.. (2022). Sparse reproducible machine learning for near infrared hyperspectral imaging: Estimating the tetrahydrocannabinolic acid concentration in Cannabis sativa L.. Industrial Crops and Products. 192. 116137–116137. 8 indexed citations
8.
Patros, Panos, Melanie Po‐Leen Ooi, Michael Mayo, et al.. (2022). Rural AI: Serverless-Powered Federated Learning for Remote Applications. IEEE Internet Computing. 27(2). 28–34. 25 indexed citations
9.
Patros, Panos, Michael Mayo, Melanie Po‐Leen Ooi, et al.. (2022). Adaptive Edge-Cloud Environments for Rural AI. ORCA Online Research @Cardiff (Cardiff University). 74–83. 8 indexed citations
10.
Kuang, Ye Chow, et al.. (2021). Maximal Associated Regression: A Nonlinear Extension to Least Angle Regression. IEEE Access. 9. 159515–159532. 2 indexed citations
11.
Ooi, Melanie Po‐Leen, Ye Chow Kuang, Ray Simpkin, et al.. (2020). Classifying Cannabis Sativa Flowers, Stems and Leaves using Statistical Machine Learning with Near-Infrared Hyperspectral Reflectance Imaging. 1–6. 13 indexed citations
12.
Rajan, Arvind, et al.. (2018). Moment-Constrained Maximum Entropy Method for Expanded Uncertainty Evaluation. IEEE Access. 6. 4072–4082. 31 indexed citations
13.
Khoo, Jing Jing, et al.. (2017). Visual Quantification of Renal interstitial fibrosis: Inter and Intra-observer variations. Pathology. 49. S130–S130. 1 indexed citations
14.
Kuang, Ye Chow, Arvind Rajan, Melanie Po‐Leen Ooi, & Serge Demidenko. (2017). Measured Quantity Value Estimator for Multiplicative Nonlinear Measurement Models. IEEE Transactions on Instrumentation and Measurement. 66(4). 715–722. 1 indexed citations
15.
Ooi, Melanie Po‐Leen, et al.. (2013). Identifying Systematic Failures on Semiconductor Wafers Using ADCAS. IEEE Design and Test. 30(5). 44–53. 2 indexed citations
16.
Ooi, Melanie Po‐Leen, et al.. (2012). Low-cost automatic visual inspection system for media in hard disk drive mass production. RMIT Research Repository (RMIT University Library). smc 9. 234–239. 4 indexed citations
17.
Ooi, Melanie Po‐Leen, et al.. (2011). Outlier distribution detection approach to semiconductor wafer fabrication process monitoring. RMIT Research Repository (RMIT University Library). 62–67. 1 indexed citations
18.
Ooi, Melanie Po‐Leen, et al.. (2010). Fast and Accurate Automatic Defect CLuster Extraction for Semiconductor Wafers. 276–280. 4 indexed citations
19.
Kuang, Ye Chow, et al.. (2010). Fast and accurate human detection for video applications using edgelets. 82. 74–79. 2 indexed citations
20.
Ooi, Melanie Po‐Leen, et al.. (2010). Automatic Defect Cluster Extraction for Semiconductor Wafers. 19. 1024–1029. 17 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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