Shuyan Huang

717 citations
19 papers · 427 indexed · h-index 8
Topics
Radiomics and Machine Learning in Medical Imaging (2 papers)Endometrial and Cervical Cancer Treatments (2 papers)Pediatric Urology and Nephrology Studies (2 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Shuyan Huang

16 papers receiving 422 citations

Peers

Shuyan Huang
Comparison fields: 5 of 87
  • Radiology, Nuclear Medicine and Imaging 215
  • Artificial Intelligence 204
  • Pulmonary and Respiratory Medicine 51
  • Cancer Research 44
  • Health Informatics 37
Replace Heng Ma with:
Heng Ma China
Shahriar Faghani United States
Peiyi Xie China
Katie Shpanskaya United States
Hirofumi Obinata Japan
Comeron W. Ghobadi United States
Timothy P. Copeland United States
John D. Bukowy United States
Mengtian Tu China
Shuyan Huang relative to Heng Ma China Heng Ma's profile →
Citations per field
00.5×1.5×2.2×
Heng Ma · 1×
Citations per year

Countries citing papers authored by Shuyan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shuyan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuyan 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 Shuyan Huang. The network helps show where Shuyan Huang may publish in the future.

Co-authorship network of co-authors of Shuyan Huang

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 32
5 2
6 2
7 19
8 30
9 1
10 3
11 1
12 14
13 6
14 15
15 254
16 35
17
[Advances in diabetic erectile dysfunction].
3
18
Successful salvage treatment of recurrent endometrial cancer with bulky central tumor and extensive lymph node metastasis. A case report.
3
19
Implications of a failed prospective trial of adjuvant therapy after radical hysterectomy for stage Ib-IIa cervical carcinoma with pelvic node metastases.
7

About Shuyan Huang

Shuyan Huang is a scholar working on Obstetrics and Gynecology, Developmental Neuroscience and Computer Science Applications, having authored 19 papers that have together received 427 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Pediatric Urology and Nephrology Studies (2 papers). The work is most often cited by research in Health Informatics (37 citations), Radiology, Nuclear Medicine and Imaging (215 citations) and Artificial Intelligence (204 citations). Shuyan Huang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xin‐Wu Cui, Christoph F. Dietrich, Ge-Ge Wu, Qi Wei, Hua-Rong Ye, Liqiang Zhou, Xinglong Wu, Youbin Deng, Lingyun Bao and Xingrui Li. Their work appears in journals such as Scientific Reports, Radiology and Nutrients.

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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