Pauline Ong

2.2k total citations
93 papers, 1.7k citations indexed

About

Pauline Ong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Pauline Ong has authored 93 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 17 papers in Analytical Chemistry. Recurrent topics in Pauline Ong's work include Spectroscopy and Chemometric Analyses (17 papers), Neural Networks and Applications (14 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Pauline Ong is often cited by papers focused on Spectroscopy and Chemometric Analyses (17 papers), Neural Networks and Applications (14 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Pauline Ong collaborates with scholars based in Malaysia, Taiwan and China. Pauline Ong's co-authors include Zarita Zainuddin, Ee Soong Low, Sia Chee Kiong, Desmond Daniel Chin Vui Sheng, Cheng-Yaw Low, Yung‐Kun Chuang, Suming Chen, Rosli Omar, Nazli Bin Che Din and Cemal Ardıl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Construction and Building Materials.

In The Last Decade

Pauline Ong

89 papers receiving 1.6k citations

Peers

Pauline Ong

CVPR

CSE

Hwa Jen Yap Malaysia

Junita Mohamad–Saleh Malaysia

Rubiyah Yusof Malaysia

Anupam Shukla India

Jeremy S. Smith United Kingdom

Lazaros Nalpantidis Denmark

Haisong Huang China

Jian Hou China

Vassilis G. Kaburlasos Greece

Hwa Jen Yap Malaysia

Pauline Ong

323 ×0.6

197 ×0.6

CVPR

180 ×0.7

270 ×1.1

CSE

210 ×0.9

Citations per year, relative to Pauline Ong Pauline Ong (= 1×) peers Hwa Jen Yap

Countries citing papers authored by Pauline Ong

Since Specialization

Citations

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

Fields of papers citing papers by Pauline Ong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pauline Ong

This figure shows the co-authorship network connecting the top 25 collaborators of Pauline Ong. A scholar is included among the top collaborators of Pauline Ong 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 Pauline Ong. Pauline Ong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ong, Pauline, et al.. (2025). Nondestructive egg freshness assessment using hyperspectral imaging and deep learning with distance correlation wavelength selection. Current Research in Food Science. 11. 101133–101133.

Ong, Pauline, et al.. (2024). Sugarcane disease recognition through visible and near-infrared spectroscopy using deep learning assisted continuous wavelet transform-based spectrogram. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 324. 125001–125001. 1 indexed citations

Li, Xiuhua, et al.. (2023). Fast Recognition and Counting Method of Dragon Fruit Flowers and Fruits Based on Video Stream. Sensors. 23(20). 8444–8444. 7 indexed citations

Ong, Pauline, et al.. (2023). Characteristic wavelength optimization for partial least squares regression using improved flower pollination algorithm. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 302. 123095–123095. 8 indexed citations

Ong, Pauline, et al.. (2023). New approach for sugarcane disease recognition through visible and near-infrared spectroscopy and a modified wavelength selection method using machine learning models. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 302. 123037–123037. 15 indexed citations

Ong, Pauline, et al.. (2023). Visible and near-infrared spectroscopic determination of sugarcane chlorophyll content using a modified wavelength selection method for multivariate calibration. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 305. 123477–123477. 12 indexed citations

Ong, Pauline, et al.. (2022). A non‐destructive methodology for determination of cantaloupe sugar content using machine vision and deep learning. Journal of the Science of Food and Agriculture. 102(14). 6586–6595. 5 indexed citations

Low, Ee Soong, et al.. (2021). Mobile Robot Path Planning using Q-Learning with Guided Distance and Moving Target Concept. International Journal of Integrated Engineering. 13(2). 1 indexed citations

Wahid, Noorhaniza, et al.. (2021). Parametric flatten-t swish: an adaptive nonlinear activation function for deep learning. Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia). 2 indexed citations

10.

Ong, Pauline, et al.. (2020). Automatic Grading System for Oil Palm Fruit Ripeness. 2(1). 4 indexed citations

11.

Low, Ee Soong, et al.. (2019). Solving the optimal path planning of a mobile robot using improved Q-learning. Robotics and Autonomous Systems. 115. 143–161. 229 indexed citations

12.

Ismail, Al Emran, et al.. (2019). Investigation of Temperature and Humidity Control System for Mushroom House. International Journal of Integrated Engineering. 11(6). 10 indexed citations

13.

Low, Cheng Yee, et al.. (2019). A Review of Non-Invasive Haptic Feedback stimulation Techniques for Upper Extremity Prostheses. International Journal of Integrated Engineering. 11(1). 18 indexed citations

14.

Low, Cheng-Yaw, et al.. (2018). Development and Evaluation of a Spot Sensor Glove for the Tactile Prosthetic Hand. International Journal of Engineering & Technology. 7(4.26). 63–69. 1 indexed citations

15.

Kiong, Sia Chee, et al.. (2018). Taguchi Design and Flower Pollination Algorithm Application to Optimize the EMI Shielding of Plaster Mortar Containing Palm Oil Fuel Ash. International Journal of Integrated Engineering. 10(3). 1 indexed citations

16.

Ong, Pauline, et al.. (2017). Design optimization of structural engineering problems using adaptive cuckoo search algorithm. 1. 745–748. 6 indexed citations

17.

Zainuddin, Zarita, et al.. (2013). A Hybrid Algorithm for the Initialization of Wavelet Neural Networks: Application in Epileptic Seizure Classification. International Journal of Applied Physics and Mathematics. 352–358. 4 indexed citations

18.

Zainuddin, Zarita, et al.. (2011). Wavelet neural networks applied to pulping of oil palm fronds. Bioresource Technology. 102(23). 10978–10986. 21 indexed citations

19.

Zainuddin, Zarita & Pauline Ong. (2009). Improved wavelet neural network for early diagnosis of cancer patients using microarray gene expression data. 8. 3485–3492. 11 indexed citations

20.

Zainuddin, Zarita & Pauline Ong. (2007). Function approximation using artificial neural networks. International Conference on Applied Mathematics. 7(6). 140–145. 68 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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