
| | Academic Department Institut Biologi Tropika Dan Pemuliharaan, UMS |
| | Appointed Department Institut Biologi Tropika Dan Pemuliharaan, UMS |
| | songquan.ong@ums.edu.my |
| Sarjana Sains (Sains Data & Analitis), Universiti Sains Malaysia , 2022 | |
| Doktor Falsafah (Ph.D), Universiti Sains Malaysia , 2017 | |
| Sarjana Sains (Entomologi Gunaan), Universiti Sains Malaysia , 2014 | |
| Sarjana Muda Sains Gunaan (Kepujian), Universiti Sains Malaysia , 2010 |
| Documents | : | 50 |
| H-Index | : | 12 |
| Citations | : | 405 |
| Affiliation | : | Universiti Malaysia Sabah |
CATEGORY | AREA |
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|---|---|---|
| 1. | BIOLOGICAL SCIENCES | Entomology (Including Insect Taxonomy, Insect Pathology and Insect Toxicology) |
| 1. | prototype development of an automated system for the digitisation and analysis of data from a natural history collection (nhc) Leader , 01-12-2025 until 30-11-2027 |
| 2. | vector distribution and molecular characterization of japanese encephalitis virus (jev) in sabah, malaysia borneo Leader , 15-09-2025 until 14-08-2027 |
| 3. | development of an intelligent system to improve the rearing performance of black soldier fly larvae (bsfl) for animal feed production Leader , 07-07-2025 until 06-01-2027 |
| 4. | metabarcoding and functional analysis of gut microbiota in caste-specific workers of macrotermes gilvus. Member , 25-10-2024 until 24-10-2026 |
| 5. | promotion of sustainable green control technology for vector and pests in sabah/borneo malaysia Leader , 01-08-2023 until 31-08-2024 |
| 1. | Lee Ping Chin , Ong Song Quan , Syavia Daim @ Sylvia Jerome Daim (2025), A Standardized Protocol For The Detection Of Arboviruses In Different Aedes Mosquito Species In North Borneo Sabah, Malaysia
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| 2. | Eric Chong Tzyy Jiann , Lee Ping Chin , Ong Song Quan , Syavia Daim @ Sylvia Jerome Daim (2025), A Standardized Protocol For The Detection Of Arboviruses In Different Aedes Mosquito Species In North Borneo Sabah, Malaysia
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| 3. | Ong Song Quan (2025), Mri-based Texture Analysis For Breast Cancer Subtype Classification In A Multi-ethnic Population
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| 4. | Henry Bernard , Ong Song Quan (2025), Bornean Orangutan Nest Identification Using Computer Vision And Deep Learning Models To Improve Conservation Strategies
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| 5. | Ong Song Quan (2025), Comparison Of Amino Acid Profiles For Different Deltamethrin Resistance Statuses Of Aedes Albopictus (skuse)
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| 6. | Ong Song Quan (2025), Scannervision: Scanner-based Image Acquisition Of Medically Important Arthropods For The Development Of Computer Vision And Deep Learning Models
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| 7. | Ong Song Quan (2025), Utilizing Machine Learning To Predict Hospital Admissions For Pediatric Covid-19 Patients (prepcovid-machine)
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| 8. | Ong Song Quan (2024), Trap Colour Strongly Affects The Ability Of Deep Learning Models To Recognize Insect Species In Images Of Sticky Traps
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| 9. | Ong Song Quan (2024), Application Of Computer Vision And Deep Learning Models To Automatically Classify Medically Important Mosquitoes In North Borneo, Malaysia
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| 10. | Ong Song Quan (2024), An Annotated Image Dataset Of Pests On Different Coloured Sticky Traps Acquired With Different Imaging Devices
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| 11. | Ong Song Quan , Lee Ping Chin , Mahadimenakbar Bin Mohamed Dawood , Homathevi A/p Rahman (2024), A Protocol And Training Guidelines For Mosquito Sampling In Remote Areas With Limited Power Supply
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| 12. | Ong Song Quan (2024), Vector-borne Diseases On Borneo Island: A Scoping Review
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| 13. | Ong Song Quan (2024), Comparative Analyses Of The Transcriptome Among Three Development Stages Of Zeugodacus Tau Larvae (diptera: Tephritidae)
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| 14. | Ong Song Quan (2024), Tracking Mosquito-borne Diseases Via Social Media: A Machine Learning Approach To Topic Modelling And Sentiment Analysis
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| 15. | Ong Song Quan (2024), Morphometric Dataset Of Varanus Salvator For Non-invasive Sex Identification Using Machine Learning
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| 1. | Ong Song Quan (2025), Comprehensive Analysis Of Beauty Community Discourse On Tiktok Through Gpt Embeddings And Bertopic Modeling
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| 2. | Ong Song Quan (2024), A Novel Method For Studying Mosquito Oviposition Behaviour Using Computer Vision And Deep Learning Algorithm
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