Hung‐Ming Wang

643 total citations
10 papers, 499 citations indexed

About

Hung‐Ming Wang is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hung‐Ming Wang has authored 10 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Otorhinolaryngology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hung‐Ming Wang's work include Head and Neck Cancer Studies (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cancer survivorship and care (2 papers). Hung‐Ming Wang is often cited by papers focused on Head and Neck Cancer Studies (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cancer survivorship and care (2 papers). Hung‐Ming Wang collaborates with scholars based in Taiwan, China and Sweden. Hung‐Ming Wang's co-authors include Tzu‐Chen Yen, Shu‐Hang Ng, Joseph Tung‐Chieh Chang, Li‐Yu Lee, Nai-Ming Cheng, Yu-Hua Fang, Din‐Li Tsan, Chun-Ta Liao, Joseph Tung‐Chieh Chang and Shiang‐Fu Huang and has published in prestigious journals such as Cancer, Clinical Cancer Research and Journal of Nuclear Medicine.

In The Last Decade

Hung‐Ming Wang

10 papers receiving 487 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hung‐Ming Wang Taiwan 9 264 213 155 139 122 10 499
A.I. Ghanem United States 11 175 0.7× 71 0.3× 41 0.3× 58 0.4× 95 0.8× 56 390
Jörn H. Risse Germany 10 144 0.5× 46 0.2× 76 0.5× 192 1.4× 62 0.5× 15 454
Danita Kannarunimit Thailand 13 104 0.4× 296 1.4× 148 1.0× 146 1.1× 188 1.5× 27 425
N. Coliarakis Greece 5 172 0.7× 40 0.2× 270 1.7× 73 0.5× 427 3.5× 8 549
Abrahim Al‐Mamgani Netherlands 15 157 0.6× 403 1.9× 177 1.1× 266 1.9× 222 1.8× 38 663
F Cameron Australia 9 116 0.4× 35 0.2× 110 0.7× 82 0.6× 194 1.6× 17 413
Eugenie Du United States 8 40 0.2× 132 0.6× 89 0.6× 139 1.0× 72 0.6× 15 369
Kerstin Zwirner Germany 11 165 0.6× 18 0.1× 117 0.8× 71 0.5× 100 0.8× 19 368
Catherine Coyle United Kingdom 10 61 0.2× 187 0.9× 161 1.0× 240 1.7× 156 1.3× 21 466
T. Nguyen France 6 121 0.5× 385 1.8× 182 1.2× 267 1.9× 309 2.5× 7 627

Countries citing papers authored by Hung‐Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung‐Ming Wang. 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 Hung‐Ming Wang. The network helps show where Hung‐Ming Wang may publish in the future.

Co-authorship network of co-authors of Hung‐Ming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hung‐Ming Wang. A scholar is included among the top collaborators of Hung‐Ming Wang 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 Hung‐Ming Wang. Hung‐Ming Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
2.
Cheng, Nai‐Ming, Jiawen Yao, Jinzheng Cai, et al.. (2021). Deep Learning for Fully Automated Prediction of Overall Survival in Patients with Oropharyngeal Cancer Using FDG-PET Imaging. Clinical Cancer Research. 27(14). 3948–3959. 36 indexed citations
3.
Chan, Sheng-Chieh, Nai‐Ming Cheng, Chun‐Ta Liao, et al.. (2020). Pretreatment 18F-FDG PET/CT texture parameters provide complementary information to Epstein-Barr virus DNA titers in patients with metastatic nasopharyngeal carcinoma. Oral Oncology. 104. 104628–104628. 10 indexed citations
4.
Hsieh, Chia‐Hsun, Hung‐Ming Wang, Jen‐Shi Chen, et al.. (2019). Baseline circulating stem-like cells predict survival in patients with metastatic breast Cancer. BMC Cancer. 19(1). 1167–1167. 22 indexed citations
5.
6.
7.
Cheng, Nai-Ming, Yu-Hua Fang, Li‐Yu Lee, et al.. (2014). Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer. European Journal of Nuclear Medicine and Molecular Imaging. 42(3). 419–428. 103 indexed citations
8.
Cheng, Nai-Ming, Yu-Hua Fang, Joseph Tung‐Chieh Chang, et al.. (2013). Textural Features of Pretreatment 18F-FDG PET/CT Images: Prognostic Significance in Patients with Advanced T-Stage Oropharyngeal Squamous Cell Carcinoma. Journal of Nuclear Medicine. 54(10). 1703–1709. 124 indexed citations
9.
Liao, Chun‐Ta, Joseph Tung‐Chieh Chang, Hung‐Ming Wang, et al.. (2007). Survival in squamous cell carcinoma of the oral cavity. Cancer. 110(3). 564–571. 51 indexed citations
10.
Liao, Chun‐Ta, Hung‐Ming Wang, Joseph Tung‐Chieh Chang, et al.. (2007). Analysis of risk factors for distant metastases in squamous cell carcinoma of the oral cavity. Cancer. 110(7). 1501–1508. 94 indexed citations

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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Breakdown of academic impact, for papers by A.I. Ghanem Breakdown of academic impact, for papers by Jörn H. Risse Breakdown of academic impact, for papers by Danita Kannarunimit Breakdown of academic impact, for papers by N. Coliarakis Breakdown of academic impact, for papers by Abrahim Al‐Mamgani Breakdown of academic impact, for papers by F Cameron Breakdown of academic impact, for papers by Eugenie Du Breakdown of academic impact, for papers by Kerstin Zwirner Breakdown of academic impact, for papers by Catherine Coyle Breakdown of academic impact, for papers by T. Nguyen
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2026