Lee‐Ling Sharon Ong
- Biomedical Engineering
- Molecular Biology
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Surgery
- Co-authors
- H. Harry AsadaDevin NealSalah SukkariehMatthew RidleyBen UpcroftHugh Durrant‐WhyteRuowen GeSoheila Sharghi-Namini
- Topics
- Target Tracking and Data Fusion in Sensor Networks (9 papers)Medical Image Segmentation Techniques (7 papers)Cell Image Analysis Techniques (7 papers)
- Partner nations
- SingaporeUnited StatesNetherlands
In The Last Decade
Lee‐Ling Sharon Ong
39 papers receiving 571 citations
Peers
Comparison fields: 5 of 91
- Biomedical Engineering 175
- Molecular Biology 137
- Artificial Intelligence 137
- Computer Networks and Communications 118
- Surgery 71
Countries citing papers authored by Lee‐Ling Sharon Ong
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 34 | |
| 9 | 32 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 96 | |
| 15 | 0 | |
| 16 | 9 | |
| 17 | Decentralised data fusion with particles | 7 |
| 18 | 1 | |
| 19 | 9 | |
| 20 | Fast re-parameterisation of Gaussian mixture models for robotics applications | 9 |
About Lee‐Ling Sharon Ong
Lee‐Ling Sharon Ong is a scholar working on Health Informatics, Biophysics and Modeling and Simulation, having authored 42 papers that have together received 583 indexed citations. Recurring topics across this 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). The work is most often cited by research in Health Informatics (54 citations), Biophysics (31 citations) and Computer Networks and Communications (118 citations). Lee‐Ling Sharon Ong has collaborated with scholars based in Singapore, United States and Netherlands. Frequent co-authors include H. Harry Asada, Devin Neal, Salah Sukkarieh, Matthew Ridley, Ben Upcroft, Hugh Durrant‐Whyte, Ruowen Ge, Soheila Sharghi-Namini, Evan Tan and Mahmut Selman Sakar. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Dental Research.
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.