Chen‐Ming Hsu
- Gastroenterology top 5%
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- Colorectal Cancer Screening and Detection 12
- Anesthesiology and Pain Medicine top 10%
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- Gastric Cancer Management and Outcomes 8
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- Image Retrieval and Classification Techniques 4
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- Radiomics and Machine Learning in Medical Imaging 4
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- Liver Disease Diagnosis and Treatment 4
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- Helicobacter pylori-related gastroenterology studies 4
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- Machine Learning in Bioinformatics 3
- Protein Structure and Dynamics 3
- Co-authors
- Ming‐Yao SuCheng‐Tang ChiuChien‐Yu ChenYu‐Pin HoTsung‐Hsing ChenCheng-Tang ChiuPang‐Chi ChenChi-Ting Su
- Cited by
- GastroenterologyHepatologyOncology
- Journals
- Journal of Gastroenterology and Hepatology (3 papers)Nucleic Acids Research (3 papers)Therapeutics and Clinical Risk Management (2 papers)
- Partner nations
- TaiwanUnited StatesSlovenia
In The Last Decade
Chen‐Ming Hsu
33 papers receiving 568 citations
Peers
Comparison fields: 5 of 95
- Gastroenterology 105
- Hepatology 50
- Oncology 154
- Anesthesiology and Pain Medicine 30
- Pulmonary and Respiratory Medicine 139
Countries citing papers authored by Chen‐Ming Hsu
This map shows the geographic impact of Chen‐Ming Hsu'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 Chen‐Ming Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Ming Hsu more than expected).
Fields of papers citing papers by Chen‐Ming Hsu
This network shows the impact of papers produced by Chen‐Ming Hsu. 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 Chen‐Ming Hsu. The network helps show where Chen‐Ming Hsu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chen‐Ming Hsu, 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 | 2024 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2021 | 36 | |
| 4 | 2019 | 8 | |
| 5 | 2018 | 20 | |
| 6 | 2018 | 15 | |
| 7 | 2018 | 19 | |
| 8 | 2017 | 11 | |
| 9 | 2017 | 14 | |
| 10 | 2016 | 23 | |
| 11 | 2016 | 11 | |
| 12 | 2015 | 30 | |
| 13 | 2015 | 13 | |
| 14 | 2011 | 8 | |
| 15 | 2009 | 16 | |
| 16 | 2008 | 9 | |
| 17 | 2008 | 7 | |
| 18 | 2007 | 41 | |
| 19 | 2006 | 10 | |
| 20 | A Simple Heuristic Approach for Word Segmentation | 1997 | 1 |
About Chen‐Ming Hsu
Chen‐Ming Hsu is a scholar working on Gastroenterology, Oncology, Hepatology, Anesthesiology and Pain Medicine and Surgery, having authored 37 papers that have together received 589 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (12 papers), Gastric Cancer Management and Outcomes (8 papers), Image Retrieval and Classification Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Machine Learning in Bioinformatics (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Gastroenterology (105 citations), Hepatology (50 citations), Oncology (154 citations), Anesthesiology and Pain Medicine (30 citations) and Pulmonary and Respiratory Medicine (139 citations). Chen‐Ming Hsu has collaborated with scholars based in Taiwan, United States and Slovenia. Frequent co-authors include Ming‐Yao Su, Cheng‐Tang Chiu, Chien‐Yu Chen, Yu‐Pin Ho, Tsung‐Hsing Chen, Cheng-Tang Chiu, Pang‐Chi Chen, Chi-Ting Su, Chau‐Ting Yeh and Ming‐Ling Chang. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Nucleic Acids Research, Therapeutics and Clinical Risk Management, Sensors and Virulence.
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.