Weicai Huang

690 total citations · 1 hit paper
14 papers, 397 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 397 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 Hong Kong. Weicai Huang's co-authors include Yuming Jiang, Qingyu Yuan, Guoxin Li, Zepang Sun, Chuanli Chen, Sujuan Xi, Ruijiang Li, George A. Poultsides, Yikai Xu 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 389 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study

2022 102 citations Yuming Jiang, Zhicheng Zhang et al. The Lancet Digital Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weicai Huang China	9	233	180	114	72	67	14	397
Weicai Huang China	9	128 0.5×	231 1.3×	142 1.2×	58 0.8×	95 1.4×	12	356
Bo Wei China	8	117 0.5×	130 0.7×	71 0.6×	59 0.8×	50 0.7×	30	315
Zepang Sun China	14	349 1.5×	368 2.0×	218 1.9×	62 0.9×	158 2.4×	23	632
M. Fang China	4	408 1.8×	363 2.0×	158 1.4×	54 0.8×	130 1.9×	7	620
Shuwen Sun China	8	464 2.0×	192 1.1×	129 1.1×	28 0.4×	123 1.8×	16	645
Ying Su China	8	121 0.5×	242 1.3×	64 0.6×	96 1.3×	73 1.1×	22	500
Sae Jung Na South Korea	15	240 1.0×	159 0.9×	142 1.2×	51 0.7×	121 1.8×	35	536
Xiaping Chen China	4	211 0.9×	171 0.9×	89 0.8×	16 0.2×	54 0.8×	5	298
Chuanli Chen China	13	469 2.0×	389 2.2×	233 2.0×	55 0.8×	157 2.3×	20	718

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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14 of 14 papers shown

Wang, Wei, Weicai Huang, Fang Cheng, et al.. (2025). Multimodal radiopathomics approach for predictions of prognosis and immunotherapy response in patients with gastric cancer: a multicohort retrospective study. International Journal of Surgery. 111(11). 7606–7621.

Huang, Weicai, Wenyu Liu, Tingting Yu, et al.. (2024). Effect of anti-COVID-19 drugs on patients with cancer. European Journal of Medicinal Chemistry. 268. 116214–116214. 3 indexed citations

Lu, Yao, Panpan Huang, Wen‐Yu Liu, et al.. (2023). Inhibition of FNDC1 suppresses gastric cancer progression by interfering with Gβγ-VEGFR2 complex formation. iScience. 26(9). 107534–107534. 3 indexed citations

Jiang, Yuming, Zhicheng Zhang, Wei Wang, et al.. (2023). Biology-guided deep learning predicts prognosis and cancer immunotherapy response. Nature Communications. 14(1). 5135–5135. 54 indexed citations

Liu, Tianshu, Yi Feng, Xiaoyuan Xu, et al.. (2023). 1049P Phase Ib/II trial of envafolimab, a novel subcutaneous single-domain anti-PD-L1 monoclonal antibody, plus lenvatinib in patients with selected advanced solid tumors. Annals of Oncology. 34. S635–S635. 1 indexed citations

Huang, Weicai, Wenjun Xiong, Lei Tang, et al.. (2023). Non-invasive CT imaging biomarker to predict immunotherapy response in gastric cancer: a multicenter study. Journal for ImmunoTherapy of Cancer. 11(11). e007807–e007807. 29 indexed citations

Jiang, Yuming, Zhicheng Zhang, Wei Wang, et al.. (2022). 1284 Biology-guided deep learning predicts prognosis and cancer immunotherapy response. Regular and Young Investigator Award Abstracts. A1332–A1332. 8 indexed citations

Huang, Weicai, Zhen Han, Zepang Sun, et al.. (2022). PAK6 promotes homologous-recombination to enhance chemoresistance to oxaliplatin through ATR/CHK1 signaling in gastric cancer. Cell Death and Disease. 13(7). 658–658. 24 indexed citations

Jiang, Yuming, Zhicheng Zhang, Qingyu Yuan, et al.. (2022). Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study. The Lancet Digital Health. 4(5). e340–e350. 102 indexed citations breakdown →

10.

Li, Zhiyong, Ying Xie, Leqing Zhu, et al.. (2021). c-Myc-activated intronic miR-210 and lncRNA MIR210HG synergistically promote the metastasis of gastric cancer. Cancer Letters. 526. 322–334. 33 indexed citations

11.

Xiong, Fei, et al.. (2021). The clinical classification of patients with COVID-19 pneumonia was predicted by Radiomics using chest CT. Medicine. 100(12). e25307–e25307. 9 indexed citations

12.

Sun, Zepang, Hao Chen, Zhen Han, et al.. (2020). Genomics Score Based on Genome-Wide Network Analysis for Prediction of Survival in Gastric Cancer: A Novel Prognostic Signature. Frontiers in Genetics. 11. 835–835. 4 indexed citations

13.

Huang, Weicai, Kangneng Zhou, Yuming Jiang, et al.. (2020). Radiomics Nomogram for Prediction of Peritoneal Metastasis in Patients With Gastric Cancer. Frontiers in Oncology. 10. 1416–1416. 24 indexed citations

14.

Jiang, Yuming, Qingyu Yuan, Wenbing Lv, et al.. (2018). Radiomic signature of¹⁸F fluorodeoxyglucose PET/CT for prediction of gastric cancer survival and chemotherapeutic benefits. Theranostics. 8(21). 5915–5928. 103 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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