Pauline Ong

2.2k citations
93 papers · 1.7k indexed · h-index 21
Topics
Spectroscopy and Chemometric Analyses (17 papers)Neural Networks and Applications (14 papers)Metaheuristic Optimization Algorithms Research (9 papers)
Journals
SHILAP Revista de lepidopterologíaBioresource TechnologyConstruction and Building Materials
Partner nations
MalaysiaTaiwanChina

In The Last Decade

Pauline Ong

89 papers receiving 1.6k citations

Peers

Pauline Ong
Comparison fields: 5 of 137
  • Artificial Intelligence 529
  • Computer Vision and Pattern Recognition 333
  • Mechanical Engineering 250
  • Control and Systems Engineering 243
  • Biomedical Engineering 235
Replace Junita Mohamad–Saleh with:
Junita Mohamad–Saleh Malaysia
Yupu Yang China
Jian Hou China
Bahador Khaleghi Canada
Kai Wang China
Malik Braik Jordan
Zhi-Xin Yang Macao
Dean Zhao China
Mohammad Hamiruce Marhaban Malaysia
José Valente de Oliveira Portugal
Pauline Ong relative to Junita Mohamad–Saleh Malaysia Junita Mohamad–Saleh's profile →
Citations per field
00.5×3.0×
Junita Mohamad–Saleh · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 7
4 8
5 15
6 12
7 5
8 1
9 2
10
Automatic Grading System for Oil Palm Fruit Ripeness
4
11 229
12 10
13 18
14 1
15 1
16 6
17 4
18 21
19 11
20
Function approximation using artificial neural networks
68

About Pauline Ong

Pauline Ong is a scholar working on Nuclear Energy and Engineering, Analytical Chemistry and Artificial Intelligence, having authored 93 papers that have together received 1.7k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (17 papers), Neural Networks and Applications (14 papers) and Metaheuristic Optimization Algorithms Research (9 papers). The work is most often cited by research in Artificial Intelligence (529 citations), Computer Vision and Pattern Recognition (333 citations) and Industrial and Manufacturing Engineering (140 citations). Pauline Ong has collaborated with scholars based in Malaysia, Taiwan and China. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Construction and Building Materials.

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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