Ran Gu

682 total citations
30 papers, 328 citations indexed

About

Ran Gu is a scholar working on Pathology and Forensic Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ran Gu has authored 30 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pathology and Forensic Medicine, 10 papers in Artificial Intelligence and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ran Gu's work include Breast Lesions and Carcinomas (11 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (7 papers). Ran Gu is often cited by papers focused on Breast Lesions and Carcinomas (11 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (7 papers). Ran Gu collaborates with scholars based in China, United States and Switzerland. Ran Gu's co-authors include Guotai Wang, Shaoting Zhang, Wenhui Lei, Kang Li, Jingyang Zhang, Shichuan Zhang, Fengtao Liu, Yaping Yang, Qiang Liu and Shan Ye and has published in prestigious journals such as Scientific Reports, Annals of Oncology and IEEE Transactions on Medical Imaging.

In The Last Decade

Ran Gu

26 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ran Gu China 12 136 122 113 52 49 30 328
Honghao Luo China 9 117 0.9× 110 0.9× 58 0.5× 36 0.7× 36 0.7× 16 288
Lídia Tortajada Spain 9 120 0.9× 131 1.1× 62 0.5× 48 0.9× 61 1.2× 14 271
Birgitte Nielsen Norway 12 108 0.8× 82 0.7× 58 0.5× 39 0.8× 27 0.6× 22 346
Arne Juette United Kingdom 8 199 1.5× 246 2.0× 72 0.6× 41 0.8× 20 0.4× 21 347
Ruimei Chai China 13 320 2.4× 187 1.5× 41 0.4× 52 1.0× 49 1.0× 24 408
Adrian Ion‐Mărgineanu United States 7 131 1.0× 107 0.9× 26 0.2× 39 0.8× 18 0.4× 16 314
Wei-Hsiang Yu Taiwan 6 179 1.3× 166 1.4× 45 0.4× 50 1.0× 27 0.6× 10 268
Marko van Treeck Germany 11 178 1.3× 209 1.7× 35 0.3× 64 1.2× 60 1.2× 21 345
Tianhao Zhao China 7 163 1.2× 233 1.9× 94 0.8× 56 1.1× 40 0.8× 13 349
Hanna Piotrzkowska‐Wróblewska Poland 11 330 2.4× 256 2.1× 49 0.4× 29 0.6× 58 1.2× 30 433

Countries citing papers authored by Ran Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ran Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Ran Gu. A scholar is included among the top collaborators of Ran Gu 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 Ran Gu. Ran Gu 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.
Gu, Ran, et al.. (2025). Driving effects of U.S. monetary policy and geopolitical risks on gold reserve share. International Review of Financial Analysis. 105. 104391–104391. 1 indexed citations
2.
Wang, Xinyi, Youlin Long, Tengyue Hu, et al.. (2025). Transparency of clinical practice guidelines: A mixed methods research. Chinese Medical Journal. 138(15). 1882–1884. 1 indexed citations
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Lei, Wenhui, Qi Su, Ran Gu, et al.. (2023). One-Shot Weakly-Supervised Segmentation in 3D Medical Images. IEEE Transactions on Medical Imaging. 43(1). 175–189. 18 indexed citations
6.
Zhang, Jingyang, Ran Gu, Mianxin Liu, et al.. (2023). S3R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites. IEEE Transactions on Medical Imaging. 42(9). 2539–2551. 5 indexed citations
7.
Wang, Guotai, et al.. (2023). PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation. Computer Methods and Programs in Biomedicine. 231. 107398–107398. 28 indexed citations
8.
Wang, Guotai, Ran Gu, Tao Lu, et al.. (2023). UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. IEEE Transactions on Medical Imaging. 42(12). 3932–3943. 24 indexed citations
9.
Gu, Ran, Guotai Wang, Jingyang Zhang, et al.. (2023). CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation. Medical Image Analysis. 89. 102904–102904. 24 indexed citations
10.
Gu, Ran, Jingyang Zhang, Guotai Wang, et al.. (2022). Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures. IEEE Transactions on Medical Imaging. 42(1). 245–256. 36 indexed citations
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Hu, Yue, Wenjing Zhong, Cui Tan, et al.. (2021). Ultrasound-Guided Vacuum-assisted Biopsy Versus Surgical Resection in Patients With Breast Desmoid Tumor. Journal of Surgical Research. 261. 400–406. 1 indexed citations
14.
Hu, Yue, Yaping Yang, Ran Gu, et al.. (2021). Specimen number based diagnostic yields of suspicious axillary lymph nodes in core biopsy in breast cancer: clinical implications from a prospective exploratory study. Quantitative Imaging in Medicine and Surgery. 11(5). 2151–2161. 3 indexed citations
15.
Hu, Yue, Ran Gu, Fengtao Liu, et al.. (2019). <p>Does the radiologist need to rescan the breast lesion to validate the final BI-RADS US assessment made on the static images in the diagnostic setting?</p>. Cancer Management and Research. Volume 11. 4607–4615. 3 indexed citations
16.
Wang, Hongli, Jianguo Lai, Jiao Li, et al.. (2019). Does establishing a preoperative nomogram including ultrasonographic findings help predict the likelihood of malignancy in patients with microcalcifications?. Cancer Imaging. 19(1). 46–46. 8 indexed citations
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Hu, Yue, Ran Gu, Jinghua Zhao, et al.. (2017). Prognostic significance of Ki67 in Chinese women diagnosed with ER+/HER2− breast cancers by the 2015 St. Gallen consensus classification. BMC Cancer. 17(1). 28–28. 7 indexed citations
19.
Zhao, Jinghua, Fengxi Su, Yue Hu, et al.. (2016). Prospective comparison of Sapylin and Avitene for reducing hydrops after axillary lymphadenectomy in breast cancer patients. Journal of Surgical Research. 210. 8–14. 1 indexed citations
20.
Yang, Yaping, Jieqiong Liu, Ran Gu, et al.. (2015). Influence of factors on mammographic density in premenopausal Chinese women. European Journal of Cancer Prevention. 25(4). 306–311. 21 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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