Shigao Huang
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Molecular Biology
- Co-authors
- Qi ZhaoJie YangSimon FongQingsong XuNa ShenMinfei PengMostafa Al‐Emranİbrahim Arpacı
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)Nanoplatforms for cancer theranostics (4 papers)Endometrial and Cervical Cancer Treatments (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Controlled ReleaseExpert Systems with Applications
In The Last Decade
Shigao Huang
45 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Radiology, Nuclear Medicine and Imaging 455
- Artificial Intelligence 308
- Pulmonary and Respiratory Medicine 237
- Oncology 193
- Molecular Biology 182
Countries citing papers authored by Shigao Huang
This map shows the geographic impact of Shigao Huang'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 Shigao Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigao Huang more than expected).
Fields of papers citing papers by Shigao Huang
This network shows the impact of papers produced by Shigao Huang. 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 Shigao Huang. The network helps show where Shigao Huang may publish in the future.
Co-authorship network of co-authors of Shigao Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Shigao Huang. A scholar is included among the top collaborators of Shigao Huang 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 Shigao Huang. Shigao Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspectivebreakdown → | 147 |
| 7 | 24 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 57 | |
| 13 | 87 | |
| 14 | 3 | |
| 15 | 110 | |
| 16 | 2 | |
| 17 | 30 | |
| 18 | 3 | |
| 19 | 19 | |
| 20 | 9 |
About Shigao Huang
Shigao Huang is a scholar working on Health Informatics, Oncology and Obstetrics and Gynecology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Nanoplatforms for cancer theranostics (4 papers) and Endometrial and Cervical Cancer Treatments (4 papers). The work is most often cited by research in Health Informatics (134 citations), Radiology, Nuclear Medicine and Imaging (455 citations) and Health Information Management (59 citations). Shigao Huang has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Qi Zhao, Jie Yang, Simon Fong, Qingsong Xu, Na Shen, Minfei Peng, Mostafa Al‐Emran, İbrahim Arpacı, Wen Bai and Yong-Jun Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Controlled Release and Expert Systems with Applications.
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.