Nai-Ming Cheng

464 total citations
10 papers, 378 citations indexed

About

Nai-Ming Cheng is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Otorhinolaryngology. According to data from OpenAlex, Nai-Ming Cheng has authored 10 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Surgery and 4 papers in Otorhinolaryngology. Recurrent topics in Nai-Ming Cheng's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (4 papers) and Head and Neck Cancer Studies (4 papers). Nai-Ming Cheng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (4 papers) and Head and Neck Cancer Studies (4 papers). Nai-Ming Cheng collaborates with scholars based in Taiwan and United States. Nai-Ming Cheng's co-authors include Yu-Hua Fang, Tzu‐Chen Yen, Chun-Ta Liao, Shu‐Hang Ng, Din‐Li Tsan, Joseph Tung‐Chieh Chang, Hung‐Ming Wang, Chien‐Yu Lin, Ching‐Han Hsu and Chung‐Guei Huang and has published in prestigious journals such as PLoS ONE, Journal of Nuclear Medicine and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Nai-Ming Cheng

10 papers receiving 376 citations

Peers

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-authorship network of co-authors of Nai-Ming Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Nai-Ming Cheng. A scholar is included among the top collaborators of Nai-Ming Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nai-Ming Cheng. Nai-Ming Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	A digital application increases the accuracy and reduces the time required to determine the stage of endometrial cancer according to the 2023 FIGO staging system 2025 ·Taiwanese Journal of Obstetrics and Gynecology ·Nai-Ming Cheng, (unknown), (unknown), (unknown), Yi‐Jen Chen	1
2	Prognostic Value of Tumor Heterogeneity and SUVmax of Pretreatment 18F-FDG PET/CT for Salivary Gland Carcinoma With High-Risk Histology 2019 ·Clinical Nuclear Medicine ·Nai-Ming Cheng, Cheng‐En Hsieh, Chun-Ta Liao, Shu‐Hang Ng, Hung-Ming Wang, Yu-Hua Fang, Wen‐Chi Chou, Chien‐Yu Lin, Tzu‐Chen Yen	28
3	Heterogeneity and irregularity of pretreatment 18F-fluorodeoxyglucose positron emission tomography improved prognostic stratification of p16-negative high-risk squamous cell carcinoma of the oropharynx 2018 ·Oral Oncology ·Nai-Ming Cheng, Yu-Hua Fang, Din‐Li Tsan, Li‐Yu Lee, Joseph Tung‐Chieh Chang, Hung-Ming Wang, Shu‐Hang Ng, Chun-Ta Liao, Lan‐Yan Yang, Tzu‐Chen Yen	18
4	Isolation of dengue virus from the upper respiratory tract of four patients with dengue fever 2017 ·PLoS neglected tropical diseases ·Nai-Ming Cheng, Cheng-Len Sy, (unknown), Tsi-Shu Huang, Susan Shin‐Jung Lee, Yao-Shen Chen	8
5	Cystic nodal metastasis in patients with oropharyngeal squamous cell carcinoma receiving chemoradiotherapy: Relationship with human papillomavirus status and failure patterns 2017 ·PLoS ONE ·(unknown), Chih‐Hua Yeh, Nai-Ming Cheng, (unknown), Hung-Ming Wang, Sheung-Fat Ko, Cheng‐Hong Toh, Tzu-Chen Yen, Chun-Ta Liao, Shu‐Hang Ng	27
6	Respiration-Averaged CT for Attenuation Correction of PET Images – Impact on PET Texture Features in Non-Small Cell Lung Cancer Patients 2016 ·PLoS ONE ·Nai-Ming Cheng, Yu-Hua Fang, Din‐Li Tsan, Ching‐Han Hsu, Tzu‐Chen Yen	21
7	TLG-S criteria are superior to both EORTC and PERCIST for predicting outcomes in patients with metastatic lung adenocarcinoma treated with erlotinib 2016 ·European Journal of Nuclear Medicine and Molecular Imaging ·Kung‐Chu Ho, Yu-Hua Fang, Hsiao‐Wen Chung, Yuan-Chang Liu, John Wen-Cheng Chang, Ming-Mo Hou, Cheng‐Ta Yang, Nai-Ming Cheng, (unknown), Tzu‐Chen Yen	19
8	Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer 2014 ·European Journal of Nuclear Medicine and Molecular Imaging ·Nai-Ming Cheng, Yu-Hua Fang, Li‐Yu Lee, Joseph Tung‐Chieh Chang, Din‐Li Tsan, Shu‐Hang Ng, Hung‐Ming Wang, Chun-Ta Liao, Lan‐Yan Yang, Ching‐Han Hsu, Tzu‐Chen Yen	103
9	Textural Features of Pretreatment ¹⁸F-FDG PET/CT Images: Prognostic Significance in Patients with Advanced T-Stage Oropharyngeal Squamous Cell Carcinoma 2013 ·Journal of Nuclear Medicine ·Nai-Ming Cheng, Yu-Hua Fang, Joseph Tung‐Chieh Chang, Chung‐Guei Huang, Din‐Li Tsan, Shu‐Hang Ng, Hung‐Ming Wang, Chien‐Yu Lin, Chun-Ta Liao, Tzu‐Chen Yen	124
10	The promise and limits of PET texture analysis 2013 ·Annals of Nuclear Medicine ·Nai-Ming Cheng, Yu-Hua Fang, Tzu‐Chen Yen	29

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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