Nai-Ming Cheng

979 citations
28 papers · 611 · h-index 14

Impact in

Papers in

Nai-Ming Cheng

26 papers receiving 609 citations

Peers

Nai-Ming Cheng
Comparison fields: 5 of 35
  • Otorhinolaryngology 170
  • Radiology, Nuclear Medicine and Imaging 353
  • Health Informatics 5
  • Pulmonary and Respiratory Medicine 104
  • Oncology 48
Replace Hung‐Ming Wang with:
Hung‐Ming Wang Taiwan
Din‐Li Tsan Taiwan
Hon Biu Chan Canada
Tian‐Tian Zhai China
A. Bertelsen Denmark
Adam C. Riegel United States
Nader Khaouam Canada
Arash Navran Netherlands
Nobuki Imano Japan
A.M. Bidmead United Kingdom
Nai-Ming Cheng relative to Hung‐Ming Wang Taiwan Hung‐Ming Wang's profile →
Citations per field
00.5×
Hung‐Ming Wang · 1×
Citations per year

Countries citing papers authored by Nai-Ming Cheng

Since Specialization
Citations

This map shows the geographic impact of Nai-Ming Cheng'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 Nai-Ming Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nai-Ming Cheng more than expected).

Fields of papers citing papers by Nai-Ming Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nai-Ming Cheng. 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 Nai-Ming Cheng. The network helps show where Nai-Ming Cheng may publish in the future.

Co-authors

The 25 scholars most cited alongside Nai-Ming Cheng, 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 Nai-Ming Cheng Line = papers co-authored together Nai-Ming Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013124
2 2014103
3 201243
4 202138
5 201733
6 201329
7 201928
8 201728
9 201621
10 201519
11 201619
12 201818
13 201816
14 200816
15 202013
16 201112
17 201911
18 20209
19 20178
20 20227

About Nai-Ming Cheng

Nai-Ming Cheng is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology, having authored 28 papers that have together received 611 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers), MRI in cancer diagnosis (4 papers), Medical Imaging Techniques and Applications (4 papers), Lung Cancer Diagnosis and Treatment (2 papers), Endometrial and Cervical Cancer Treatments (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Otorhinolaryngology (170 citations), Radiology, Nuclear Medicine and Imaging (353 citations), Health Informatics (5 citations), Pulmonary and Respiratory Medicine (104 citations) and Oncology (48 citations). Nai-Ming Cheng has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Tzu‐Chen Yen, Shu‐Hang Ng, Yu-Hua Fang, Din‐Li Tsan, Joseph Tung‐Chieh Chang, Chun-Ta Liao, Hung‐Ming Wang, Chien‐Yu Lin, Chun‐Ta Liao and Ching‐Han Hsu. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, PLoS ONE, Oral Oncology, EJNMMI Research and Radiotherapy and Oncology.

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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