Wei Huang

8.0k citations
179 papers · 5.5k indexed · 1 hit paper · h-index 43

Wei Huang

173 papers receiving 5.4k citations

Hit Papers

Quantitative imaging biomarkers alliance (QIBA) recommend...252201820262020202350100150200250

Peers

Wei Huang
Comparison fields: 5 of 148
  • Radiology, Nuclear Medicine and Imaging 2.2k
  • Cancer Research 643
  • Pulmonary and Respiratory Medicine 1.2k
  • Oncology 710
  • Health Informatics 32
Replace Deborah E. Citrin with:
Deborah E. Citrin United States
Yasuhisa Fujii Japan
Hui‐Kuo G. Shu United States
Wilfried Roth Germany
Weiling Zhao United States
Dinesh Rakheja United States
Xianglin Yuan China
Reinier O. Schlingemann Netherlands
Adeboye O. Osunkoya United States
Wei Huang relative to Deborah E. Citrin United States Deborah E. Citrin's profile →
Citations per field
00.5×1.5×
Deborah E. Citrin · 1×
Citations per year

Countries citing papers authored by Wei Huang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20244
4 20235
5 202313
6 202022
7 202024
8 202014
9 201939
10 20198
11 201832
12 201720
13 201749
14 20156
15 200974
16 200940
17 200915
18 200820
19 20043
20 20040

About Wei Huang

Wei Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Urology, having authored 179 papers that have together received 5.5k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (51 papers), Advanced MRI Techniques and Applications (35 papers), Radiomics and Machine Learning in Medical Imaging (30 papers), Prostate Cancer Treatment and Research (28 papers), Prostate Cancer Diagnosis and Treatment (25 papers), Epigenetics and DNA Methylation (12 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Medical Imaging Techniques and Applications (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.2k citations), Cancer Research (643 citations) and Pulmonary and Respiratory Medicine (1.2k citations). Wei Huang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include David F. Jarrard, Xin Li, Sunitha B. Thakur, Lia Bartella, William D. Rooney, Luminita A. Tudorica, Sally Drew, Elizabeth A. Morris, Charles S. Springer and Bing Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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