Wee Han Ng
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 10%
- Clinical Reasoning and Diagnostic Skills
Papers in
-
- Artificial Intelligence in Healthcare and Education 5
- Co-authors
- Yee Hui Yeo (14 shared papers)Jamil S. Samaan (8 shared papers)Omer Liran (3 shared papers)Ju Dong Yang (4 shared papers)Walid S. Ayoub (3 shared papers)Hirsh D. Trivedi (3 shared papers)Alexander Kuo (3 shared papers)Peng–Sheng Ting (2 shared papers)
- Journals
- Hepatology (2 papers)Obesity Surgery (2 papers)EClinicalMedicine (1 paper)Clinical and Molecular Hepatology (1 paper)Journal of the European Academy of Dermatology and Venereology (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Wee Han Ng
12 papers receiving 742 citations
Wee Han Ng's Hit Papers
Peers
Comparison fields: 5 of 73
- Health Informatics 463
- Family Practice 19
- Radiology, Nuclear Medicine and Imaging 83
- Health Information Management 15
- Artificial Intelligence 98
Countries citing papers authored by Wee Han Ng
This map shows the geographic impact of Wee Han Ng'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 Wee Han Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wee Han Ng more than expected).
Fields of papers citing papers by Wee Han Ng
This network shows the impact of papers produced by Wee Han Ng. 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 Wee Han Ng. The network helps show where Wee Han Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Wee Han Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 457 | |
| 2 | 2023 | 183 | |
| 3 | Increased Risk of Aspiration Pneumonia Associated With Endoscopic Procedures Among Patients With Glucagon-like Peptide 1 Receptor Agonist Use Hit paper breakdown → | 2024 | 62 |
| 4 | 2023 | 23 | |
| 5 | 2024 | 9 | |
| 6 | 2025 | 8 | |
| 7 | 2024 | 6 | |
| 8 | 2025 | 6 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2026 | 0 |
About Wee Han Ng
Wee Han Ng is a scholar working on Health Informatics, Gastroenterology, Surgery, Pulmonary and Respiratory Medicine and Hepatology, having authored 15 papers that have together received 760 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Infection Control and Ventilation (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Opioid Use Disorder Treatment (1 paper), Cutaneous Melanoma Detection and Management (1 paper), COVID-19 and healthcare impacts (1 paper) and Clinical Reasoning and Diagnostic Skills (1 paper). The work is most often cited by research in Health Informatics (463 citations), Family Practice (19 citations), Radiology, Nuclear Medicine and Imaging (83 citations), Health Information Management (15 citations) and Artificial Intelligence (98 citations). Wee Han Ng has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Yee Hui Yeo, Jamil S. Samaan, Omer Liran, Ju Dong Yang, Walid S. Ayoub, Hirsh D. Trivedi, Alexander Kuo, Peng–Sheng Ting, Aarshi Vipani and Brennan Spiegel. Their work appears in journals such as Hepatology, Obesity Surgery, EClinicalMedicine, Clinical and Molecular Hepatology and Journal of the European Academy of Dermatology and Venereology.
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.