Lee‐Ling Sharon Ong

836 total citations
42 papers, 583 citations indexed

About

Lee‐Ling Sharon Ong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Lee‐Ling Sharon Ong has authored 42 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Computer Networks and Communications. Recurrent topics in Lee‐Ling Sharon Ong's work include Target Tracking and Data Fusion in Sensor Networks (9 papers), Medical Image Segmentation Techniques (7 papers) and Cell Image Analysis Techniques (7 papers). Lee‐Ling Sharon Ong is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (9 papers), Medical Image Segmentation Techniques (7 papers) and Cell Image Analysis Techniques (7 papers). Lee‐Ling Sharon Ong collaborates with scholars based in Singapore, United States and Netherlands. Lee‐Ling Sharon Ong's co-authors include H. Harry Asada, Devin Neal, Salah Sukkarieh, Matthew Ridley, Ben Upcroft, Hugh Durrant‐Whyte, Evan Tan, Ruowen Ge, Soheila Sharghi-Namini and Mahmut Selman Sakar and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Dental Research.

In The Last Decade

Lee‐Ling Sharon Ong

39 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee‐Ling Sharon Ong Singapore 12 175 137 137 118 71 42 583
Hélder P. Oliveira Portugal 20 110 0.6× 66 0.5× 251 1.8× 15 0.1× 127 1.8× 94 916
Zhong Liu China 14 91 0.5× 41 0.3× 74 0.5× 39 0.3× 30 0.4× 55 657
Teng Li China 15 119 0.7× 45 0.3× 60 0.4× 24 0.2× 159 2.2× 68 794
Zhehao Dai China 16 70 0.4× 83 0.6× 176 1.3× 24 0.2× 110 1.5× 35 690
Belal Ahmad Canada 18 95 0.5× 75 0.5× 210 1.5× 17 0.1× 97 1.4× 46 1.1k
Tong Bai China 13 68 0.4× 95 0.7× 64 0.5× 20 0.2× 35 0.5× 48 555
Muhammad Owais Pakistan 20 115 0.7× 51 0.4× 318 2.3× 19 0.2× 61 0.9× 94 1.2k
Meihong Wang China 12 48 0.3× 103 0.8× 149 1.1× 34 0.3× 53 0.7× 38 550

Countries citing papers authored by Lee‐Ling Sharon Ong

Since Specialization
Citations

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

Fields of papers citing papers by Lee‐Ling Sharon Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee‐Ling Sharon 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 Lee‐Ling Sharon Ong. The network helps show where Lee‐Ling Sharon Ong may publish in the future.

Co-authorship network of co-authors of Lee‐Ling Sharon Ong

This figure shows the co-authorship network connecting the top 25 collaborators of Lee‐Ling Sharon Ong. A scholar is included among the top collaborators of Lee‐Ling Sharon 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 Lee‐Ling Sharon Ong. Lee‐Ling Sharon 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
1.
Ong, Lee‐Ling Sharon, et al.. (2025). Predicting vasovagal reactions to needles from video data using 2D-CNN with GRU and LSTM. PLoS ONE. 20(1). e0314038–e0314038.
2.
Nicenboim, Bruno, Wouter De Baene, Eric Postma, et al.. (2025). Predicting cognitive function 3 months after surgery in patients with a glioma. Neuro-Oncology Advances. 7(1). vdaf081–vdaf081. 1 indexed citations
3.
Ertuğrul, Itır Önal, et al.. (2023). Predicting Vasovagal Reactions to Needles from Facial Action Units. Journal of Clinical Medicine. 12(4). 1644–1644. 4 indexed citations
4.
Gehring, Karin, et al.. (2023). Cognitive functioning in untreated glioma patients: The limited predictive value of clinical variables. Neuro-Oncology. 26(4). 670–683. 5 indexed citations
5.
Ong, Lee‐Ling Sharon, et al.. (2022). Predicting vasovagal reactions to a virtual blood donation using facial image analysis. Transfusion. 62(4). 838–847. 9 indexed citations
6.
7.
Scholten, Ernst T., Stefan Bruijnen, Mathijn de Jong, et al.. (2021). Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs. Radiology Artificial Intelligence. 3(4). e200260–e200260. 32 indexed citations
8.
Ong, Lee‐Ling Sharon, Debasis Banik, Zhenping Guan, et al.. (2019). A Robotic Microscope System to Examine T Cell Receptor Acuity Against Tumor Neoantigens: A New Tool for Cancer Immunotherapy Research. IEEE Robotics and Automation Letters. 4(2). 1760–1767. 4 indexed citations
9.
Saunders, Timothy E., Cynthia Y. He, Patrice Koehl, Lee‐Ling Sharon Ong, & Peter T. C. So. (2018). Eleven quick tips for running an interdisciplinary short course for new graduate students. PLoS Computational Biology. 14(3). e1006039–e1006039. 3 indexed citations
10.
Ong, Lee‐Ling Sharon, et al.. (2017). Automated tracking and quantification of angiogenic vessel formation in 3D microfluidic devices. PLoS ONE. 12(11). e0186465–e0186465. 5 indexed citations
11.
Ong, Lee‐Ling Sharon, Justin Dauwels, Marcelo H. Ang, & H. Harry Asada. (2013). A Bayesian filtering approach to incorporate 2D/3D time-lapse confocal images for tracking angiogenic sprouting cells interacting with the gel matrix. Medical Image Analysis. 18(1). 211–227. 5 indexed citations
12.
Wood, Levi B., Ioannis K. Zervantonakis, Lee‐Ling Sharon Ong, et al.. (2012). Ensemble Analysis of Angiogenic Growth in Three-Dimensional Microfluidic Cell Cultures. PLoS ONE. 7(5). e37333–e37333. 96 indexed citations
13.
Ong, Lee‐Ling Sharon, et al.. (2011). Automated tracking of biological cells in an “in-vitro” environment using active contours and distance measures. National University of Singapore. 50. 241–246.
14.
Ong, Lee‐Ling Sharon, Marcelo H. Ang, & H. Harry Asada. (2010). Tracking of cell population from time lapse and end point confocal microscopy images with multiple hypothesis Kalman smoothing filters. National University of Singapore. 71–78. 9 indexed citations
15.
Ong, Lee‐Ling Sharon, Ben Upcroft, Tim Bailey, et al.. (2006). A decentralised particle filtering algorithm for multi-target tracking across multiple flight vehicles. 4539–4544. 34 indexed citations
16.
Ong, Lee‐Ling Sharon, Ben Upcroft, Matthew Ridley, et al.. (2005). Decentralised data fusion with particles. Queensland's institutional digital repository (The University of Queensland). 7 indexed citations
17.
Ong, Lee‐Ling Sharon, Matthew Ridley, Ben Upcroft, et al.. (2005). A Comparison of Probabilistic Representations for Decentralised Data Fusion. 187–192. 9 indexed citations
18.
Ong, Lee‐Ling Sharon, et al.. (2005). Tuberculum sellae meningioma associated with lymphomatoid papulosis. Optometry. 76(3). 165–175. 1 indexed citations
19.
Ridley, Matthew, et al.. (2005). Decentralised Data Fusion with Parzen Density Estimates. 24. 161–166. 12 indexed citations
20.
Upcroft, Ben, et al.. (2004). Fast re-parameterisation of Gaussian mixture models for robotics applications. QUT ePrints (Queensland University of Technology). 1–7. 9 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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