Weiqun Ao

486 total citations
31 papers, 292 citations indexed

About

Weiqun Ao is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Weiqun Ao has authored 31 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Weiqun Ao's work include Radiomics and Machine Learning in Medical Imaging (17 papers), Colorectal Cancer Surgical Treatments (11 papers) and MRI in cancer diagnosis (5 papers). Weiqun Ao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), Colorectal Cancer Surgical Treatments (11 papers) and MRI in cancer diagnosis (5 papers). Weiqun Ao collaborates with scholars based in China. Weiqun Ao's co-authors include Xiandi Zhu, Jian Wang, Jinwen Hu, Zhihua Xu, Yuqing Gao, Ruiling Feng, Yoshimori An, Xiaoyu Han, Wenming Zhang and Zongyu Xie and has published in prestigious journals such as Scientific Reports, Medicine and World Journal of Gastroenterology.

In The Last Decade

Weiqun Ao

30 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiqun Ao China 10 186 114 56 52 35 31 292
Christine Dhillon Germany 7 89 0.5× 41 0.4× 53 0.9× 28 0.5× 24 0.7× 9 246
Maria El Homsi United States 11 149 0.8× 121 1.1× 30 0.5× 49 0.9× 26 0.7× 42 355
Hee Seung Bom South Korea 9 194 1.0× 25 0.2× 13 0.2× 93 1.8× 33 0.9× 30 335
Reza Sirous United States 8 72 0.4× 42 0.4× 9 0.2× 65 1.3× 16 0.5× 20 222
Flavia Linguanti Italy 11 112 0.6× 68 0.6× 8 0.1× 47 0.9× 11 0.3× 23 198
Hayato Tomita Japan 10 143 0.8× 21 0.2× 17 0.3× 83 1.6× 37 1.1× 29 290
Allegra Ferrari Italy 9 14 0.1× 85 0.7× 31 0.6× 29 0.6× 13 0.4× 18 247
Hye Young Sun South Korea 9 162 0.9× 51 0.4× 7 0.1× 60 1.2× 11 0.3× 13 410

Countries citing papers authored by Weiqun Ao

Since Specialization
Citations

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

Fields of papers citing papers by Weiqun Ao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiqun Ao

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

All Works

20 of 20 papers shown
1.
Ao, Weiqun, et al.. (2025). Can Habitat-Based MRI Radiomics Distinguish Between T2 and T3 Stages in Rectal Cancer?. Academic Radiology. 32(9). 5278–5289. 1 indexed citations
2.
Ao, Weiqun, et al.. (2025). A novel MRI-based radiomics for preoperative prediction of lymphovascular invasion in rectal cancer. Abdominal Radiology. 50(8). 3377–3390. 1 indexed citations
3.
Ao, Weiqun, Sikai Wu, Neng Wang, et al.. (2025). Novel deep learning algorithm based MRI radiomics for predicting lymph node metastases in rectal cancer. Scientific Reports. 15(1). 12089–12089. 4 indexed citations
4.
Hu, Jinwen, et al.. (2025). Biparametric MRI ‐Based Habitat Analysis Integrated With Deep Learning for Predicting Clinically Significant Prostate Cancer in PI ‐ RADS Category 3 Lesions. Journal of Magnetic Resonance Imaging. 63(4). 1165–1176. 1 indexed citations
5.
Wang, Neng, Sikai Wu, Jian Wang, et al.. (2024). Machine Learning Based on Digital Mammography to Reduce the Need for Invasive Biopsies of Benign Calcifications Classified in BI-RADS Category 4. Journal of Imaging Informatics in Medicine. 38(4). 2134–2145.
6.
Zhu, Xiandi, et al.. (2024). MRI-based radiomics for preoperative prediction of recurrence and metastasis in rectal cancer. Abdominal Radiology. 49(4). 1306–1319. 8 indexed citations
7.
Wu, Sikai, et al.. (2024). Deep learning-based multi-parametric magnetic resonance imaging (mp-MRI) nomogram for predicting Ki-67 expression in rectal cancer. Abdominal Radiology. 49(9). 3003–3014. 2 indexed citations
8.
9.
Wang, Hui, et al.. (2023). Deep learning–based radiomic nomograms for predicting Ki67 expression in prostate cancer. BMC Cancer. 23(1). 638–638. 16 indexed citations
10.
Xu, Zhihua, Hongli Ji, Hanjin Hu, et al.. (2022). CT-based radiomic nomogram for predicting the severity of patients with COVID-19. European journal of medical research. 27(1). 13–13. 8 indexed citations
11.
12.
Chen, Xiaoyong, et al.. (2022). Novel multiparametric MRI-based radiomics in preoperative prediction of perirectal fat invasion in rectal cancer. Abdominal Radiology. 48(2). 471–485. 6 indexed citations
13.
Ao, Weiqun, et al.. (2022). Can DWI provide additional value to Kaiser score in evaluation of breast lesions. European Radiology. 32(9). 5964–5973. 17 indexed citations
14.
Fang, Jianhua, et al.. (2022). Ultrasound grayscale ratio: a reliable parameter for differentiating between papillary thyroid microcarcinoma and micronodular goiter. BMC Endocrine Disorders. 22(1). 75–75. 3 indexed citations
15.
Ao, Weiqun, et al.. (2021). Imaging manifestations of Caroli disease with autosomal recessive polycystic kidney disease: a case report and literature review. BMC Pregnancy and Childbirth. 21(1). 294–294. 6 indexed citations
16.
17.
Yang, Fang, et al.. (2021). CT differentiation of gastric ectopic pancreas from gastric stromal tumor. BMC Gastroenterology. 21(1). 52–52. 7 indexed citations
18.
Ao, Weiqun, Bin Lin, Rong Yang, et al.. (2021). A novel CT-based radiomic nomogram for predicting the recurrence and metastasis of gastric stromal tumors.. American Journal of Cancer Research. 11(6). 3123–3134. 18 indexed citations
19.
Wang, Jian, et al.. (2020). Differentiation of gastric glomus tumor from small gastric stromal tumor by computed tomography. Journal of International Medical Research. 48(8). 1220735746–1220735746. 6 indexed citations
20.
Wang, Jian, et al.. (2019). Primary gastric melanoma: A case report with imaging findings and 5-year follow-up. World Journal of Gastroenterology. 25(44). 6571–6578. 13 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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