Weicai Huang

42 total papers · 666 total citations
14 papers, 392 citations indexed

About

Weicai Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Weicai Huang has authored 14 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Weicai Huang's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Gastric Cancer Management and Outcomes (6 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Weicai Huang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Gastric Cancer Management and Outcomes (6 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Weicai Huang collaborates with scholars based in China, United States and Slovenia. Weicai Huang's co-authors include Guoxin Li, Yuming Jiang, Qingyu Yuan, Zepang Sun, Chuanli Chen, Ruijiang Li, George A. Poultsides, Sujuan Xi, Lei Xing and Zhicheng Zhang and has published in prestigious journals such as Nature Communications, Annals of Oncology and Cancer Letters.

In The Last Decade

Weicai Huang

13 papers receiving 384 citations

Hit Papers

Predicting peritoneal rec... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Weicai Huang 228 179 113 72 67 14 392
J. Li 207 0.9× 176 1.0× 91 0.8× 58 0.8× 77 1.1× 9 370
Weicai Huang 127 0.6× 225 1.3× 138 1.2× 58 0.8× 93 1.4× 12 348
Meiting Fu 98 0.4× 226 1.3× 164 1.5× 79 1.1× 141 2.1× 13 432
Sudeep Banerjee 172 0.8× 118 0.7× 68 0.6× 15 0.2× 98 1.5× 19 362
Shuai Bai 81 0.4× 199 1.1× 163 1.4× 59 0.8× 168 2.5× 16 409
Sue Chua 199 0.9× 197 1.1× 147 1.3× 39 0.5× 44 0.7× 21 365
Keita Koseki 59 0.3× 127 0.7× 80 0.7× 101 1.4× 109 1.6× 11 407
Maomei Ruan 192 0.8× 178 1.0× 69 0.6× 78 1.1× 60 0.9× 26 423
Yankai Meng 278 1.2× 76 0.4× 223 2.0× 40 0.6× 48 0.7× 20 423
Annalaura Salerno 235 1.0× 232 1.3× 65 0.6× 45 0.6× 110 1.6× 12 446

Countries citing papers authored by Weicai Huang

Since Specialization
Citations

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

Fields of papers citing papers by Weicai Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weicai Huang

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

All Works

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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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