Shu‐Hang Ng
- Otorhinolaryngology top 0.02%
- Head and Neck Cancer Studies 113
-
- Radiomics and Machine Learning in Medical Imaging 35
- MRI in cancer diagnosis 28
- Medical Imaging Techniques and Applications 21
- Advanced MRI Techniques and Applications 21
- Surgery top 0.5%
- Head and Neck Surgical Oncology 41
- Salivary Gland Tumors Diagnosis and Treatment 39
- Periodontics top 1%
- Oncology top 1%
- Cancer Diagnosis and Treatment 18
- Co-authors
- Tzu‐Chen YenChun‐Ta LiaoJoseph Tung‐Chieh ChangSheung‐Fat KoHung‐Ming WangSheng-Chieh ChanShiang‐Fu HuangLi‐Yu Lee
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Shu‐Hang Ng
284 papers receiving 8.0k citations
Peers
Comparison fields: 5 of 137
- Otorhinolaryngology 3.8k
- Radiology, Nuclear Medicine and Imaging 2.7k
- Surgery 3.2k
- Periodontics 332
- Oncology 1.9k
Countries citing papers authored by Shu‐Hang Ng
This map shows the geographic impact of Shu‐Hang 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 Shu‐Hang Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Hang Ng more than expected).
Fields of papers citing papers by Shu‐Hang Ng
This network shows the impact of papers produced by Shu‐Hang 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 Shu‐Hang Ng. The network helps show where Shu‐Hang Ng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shu‐Hang 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 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2021 | 10 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 11 | |
| 8 | 2018 | 22 | |
| 9 | 2016 | 30 | |
| 10 | 2015 | 19 | |
| 11 | 2013 | 20 | |
| 12 | 2013 | 10 | |
| 13 | 2013 | 4 | |
| 14 | 2011 | 49 | |
| 15 | Percutaneous Transvascular Retrieval of the Dislodged Port-A Catheter Using En Snare System via Femoral Vein Approach | 2009 | 1 |
| 16 | Ependymoblastoma: CT and MRI Demonstration | 2002 | 4 |
| 17 | Fatal Liver Abscess and Tumor Rupture after Transcatheter Arterial Chemoembolization for Hepatocellular Carcinoma | 2001 | 1 |
| 18 | Rosai-Dorfman Disease of the Paranasal Sinuses: Results of Computed Tomography and Magnetic Resonance Imaging | 2000 | 1 |
| 19 | Pulmonary Lymphangioleiomyomatosis: A Case Report | 1995 | 1 |
| 20 | Radiological Findings of Aneurysmal Bone Cyst | 1994 | 1 |
About Shu‐Hang Ng
Shu‐Hang Ng is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 293 papers that have together received 8.2k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (113 papers), Head and Neck Surgical Oncology (41 papers), Salivary Gland Tumors Diagnosis and Treatment (39 papers), Radiomics and Machine Learning in Medical Imaging (35 papers), MRI in cancer diagnosis (28 papers), Medical Imaging Techniques and Applications (21 papers), Advanced MRI Techniques and Applications (21 papers) and Cancer Diagnosis and Treatment (18 papers). The work is most often cited by research in Otorhinolaryngology (3.8k citations), Radiology, Nuclear Medicine and Imaging (2.7k citations) and Surgery (3.2k citations). Shu‐Hang Ng has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Tzu‐Chen Yen, Chun‐Ta Liao, Joseph Tung‐Chieh Chang, Sheung‐Fat Ko, Hung‐Ming Wang, Sheng-Chieh Chan, Shiang‐Fu Huang, Li‐Yu Lee, Yung‐Liang Wan and Chuen Hsueh. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.
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.