Chen‐Ming Hsu

987 citations
37 papers · 598 · h-index 15

Impact in

    • Gastrointestinal Tumor Research and Treatment
    • Gastroesophageal reflux and treatments
    • Colorectal Cancer Screening and Detection

Papers in

Chen‐Ming Hsu

33 papers receiving 577 citations

Peers

Chen‐Ming Hsu
Comparison fields: 5 of 88
  • Gastroenterology 89
  • Oncology 141
  • Hepatology 31
  • Anesthesiology and Pain Medicine 20
  • Epidemiology 94
Replace Tsung‐Hsing Chen with:
Tsung‐Hsing Chen Taiwan
Weiling Hu China
Ron Winograd Germany
Kyung Jin Seo South Korea
Piyush Kumar Sharma United States
Bin Cao China
Yoshihiro Sasaki Japan
Hélder Cardoso Portugal
Markus Casper Germany
Mitsuaki Ishioka Japan
Chen‐Ming Hsu relative to Tsung‐Hsing Chen Taiwan Tsung‐Hsing Chen's profile →
Citations per field
00.5×10×
Tsung‐Hsing Chen · 1×
Citations per year

Countries citing papers authored by Chen‐Ming Hsu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Chen‐Ming Hsu Line = papers co-authored together Chen‐Ming Hsu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201162
2 200745
3 200741
4 202140
5 201436
6 201531
7 201330
8
Clinical and endoscopic features for alimentary tract cytomegalovirus disease: report of 20 cases with gastrointestinal cytomegalovirus disease.
200529
9 201228
10 201623
11 201821
12 201821
13 200819
14 200916
15 201815
16 201714
17 201314
18 201513
19 201712
20 201611

About Chen‐Ming Hsu

Chen‐Ming Hsu is a scholar working on Oncology, Surgery, Epidemiology, Molecular Biology and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 598 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (11 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Image Retrieval and Classification Techniques (3 papers), Data Mining Algorithms and Applications (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Protein Structure and Dynamics (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Gastroenterology (89 citations), Oncology (141 citations), Hepatology (31 citations), Anesthesiology and Pain Medicine (20 citations) and Epidemiology (94 citations). Chen‐Ming Hsu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Ming‐Yao Su, Cheng‐Tang Chiu, Chien‐Yu Chen, Tsung‐Hsing Chen, Yu‐Pin Ho, Cheng-Tang Chiu, Pang‐Chi Chen, Chi-Ting Su, Wei-Pin Lin and Chau‐Ting Yeh. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Nucleic Acids Research, Sensors, Therapeutics and Clinical Risk Management and Medicine.

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.

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