Yong Ren

1.1k total citations
28 papers, 524 citations indexed

About

Yong Ren is a scholar working on Surgery, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Yong Ren has authored 28 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Materials Chemistry and 5 papers in Artificial Intelligence. Recurrent topics in Yong Ren's work include Nanowire Synthesis and Applications (4 papers), AI in cancer detection (4 papers) and Silicon Nanostructures and Photoluminescence (4 papers). Yong Ren is often cited by papers focused on Nanowire Synthesis and Applications (4 papers), AI in cancer detection (4 papers) and Silicon Nanostructures and Photoluminescence (4 papers). Yong Ren collaborates with scholars based in China, Switzerland and Hong Kong. Yong Ren's co-authors include Anlong Xu, Shangwu Chen, Fenfang Wu, Di Wu, Bo Feng, Yuhua Huang, Junlian Huang, Xiaoni Chen, Taotao Zhang and Nan Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Yong Ren

28 papers receiving 515 citations

Peers

Yong Ren

HEPAT

SURGE

RNMI

Gansheng Feng China

Yasutoshi Suzuki Japan

Jinyi Lang China

Bo-Ji Liu China

Dewei Li China

Yingxin Xu United States

Xiaoyan Huang China

Chenchen Wang China

Xinming Zhao China

Fu Shen China

Gansheng Feng China

Yong Ren

245 ×1.8

HEPAT

92 ×0.7

SURGE

101 ×0.9

65 ×0.7

40 ×0.5

RNMI

Citations per year, relative to Yong Ren Yong Ren (= 1×) peers Gansheng Feng

Countries citing papers authored by Yong Ren

Since Specialization

Citations

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

Fields of papers citing papers by Yong Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Ren

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

All Works

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20 of 20 papers shown

Ren, Yong, Wenqi Xia, Jiayun Wu, et al.. (2025). Artificial intelligence-based prediction of organ involvement in Sjogren’s syndrome using labial gland biopsy whole-slide images. Clinical Rheumatology. 44(7). 2919–2927. 2 indexed citations

Ren, Yong, Shuangyan Cao, Jingyu Zhang, et al.. (2025). Evaluating the performance of large language models in health education for patients with ankylosing spondylitis/spondyloarthritis: a cross-sectional, single-blind study in China. BMJ Open. 15(3). e097528–e097528. 3 indexed citations

Song, Yihua, Tong Ren, Qiao Ji, et al.. (2024). Assessing breast disease with deep learning model using bimodal bi-view ultrasound images and clinical information. iScience. 27(7). 110279–110279. 3 indexed citations

Ren, Yong, et al.. (2023). Digital histopathological images of biopsy predict response to neoadjuvant chemotherapy for locally advanced gastric cancer. Gastric Cancer. 26(5). 734–742. 7 indexed citations

Wu, Qingwu, Yong Ren, Weihao Wang, et al.. (2022). Chinese Central Compartment Atopic Disease: The Clinical Characteristics and Cellular Endotypes Based on Whole-Slide Imaging. SHILAP Revista de lepidopterología. 11 indexed citations

Ren, Yong, et al.. (2022). Development and validation of a composite AI model for the diagnosis of levator ani muscle avulsion. European Radiology. 32(9). 5898–5906. 8 indexed citations

Cheng, Na, Yong Ren, Jing Zhou, et al.. (2022). Deep Learning-Based Classification of Hepatocellular Nodular Lesions on Whole-Slide Histopathologic Images. Gastroenterology. 162(7). 1948–1961.e7. 68 indexed citations

Luo, You, Xiao Hu, Jinhua Zhang, et al.. (2022). Deep Learning Algorithms for the Prediction of Posttransplant Renal Function in Deceased-Donor Kidney Recipients: A Preliminary Study Based on Pretransplant Biopsy. Frontiers in Medicine. 8. 676461–676461. 10 indexed citations

Ren, Yong, Ling Ma, Yunping Fan, et al.. (2022). Deep learning‐based prediction of treatment prognosis from nasal polyp histology slides. International Forum of Allergy & Rhinology. 13(5). 886–898. 14 indexed citations

10.

Wu, Qingwu, Jianning Chen, Yong Ren, et al.. (2021). Artificial intelligence for cellular phenotyping diagnosis of nasal polyps by whole-slide imaging. EBioMedicine. 66. 103336–103336. 29 indexed citations

11.

Feng, Ding-Yun, Yong Ren, Mi Ζhou, et al.. (2021). Deep Learning-Based Available and Common Clinical-Related Feature Variables Robustly Predict Survival in Community-Acquired Pneumonia. Risk Management and Healthcare Policy. Volume 14. 3701–3709. 8 indexed citations

12.

Zhang, Man, et al.. (2021). Artificial intelligence models derived from 2D transperineal ultrasound images in the clinical diagnosis of stress urinary incontinence. International Urogynecology Journal. 33(5). 1179–1185. 8 indexed citations

13.

Zou, Xiaoling, Yong Ren, Ding-Yun Feng, et al.. (2020). A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study. PLoS ONE. 15(7). e0236378–e0236378. 27 indexed citations

14.

Wu, Fenfang, Di Wu, Yong Ren, et al.. (2019). Generation of hepatobiliary organoids from human induced pluripotent stem cells. Journal of Hepatology. 70(6). 1145–1158. 186 indexed citations

15.

Mei, Fei, et al.. (2018). Online Recognition Method for Voltage Sags Based on a Deep Belief Network. Energies. 12(1). 43–43. 19 indexed citations

16.

Wu, Fenfang, Bo Feng, Yong Ren, et al.. (2017). A pore-forming protein implements VLR-activated complement cytotoxicity in lamprey. Cell Discovery. 3(1). 17033–17033. 15 indexed citations

17.

Wu, Fenfang, Liyong Chen, Yong Ren, et al.. (2016). An inhibitory receptor of VLRB in the agnathan lamprey. Scientific Reports. 6(1). 33760–33760. 6 indexed citations

18.

Ding, Li, et al.. (2012). A multilayered approach of Si/SiO to promote carrier transport in electroluminescence of Si nanocrystals. Nanoscale Research Letters. 7(1). 200–200. 10 indexed citations

19.

Huang, Juan, et al.. (2006). Preparation of novel poly(ethylene oxide‐co‐glycidol)‐graft‐poly(ε‐caprolactone) copolymers and inclusion complexation of the grafted chains with α‐cyclodextrin. Journal of Polymer Science Part A Polymer Chemistry. 44(11). 3684–3691. 25 indexed citations

20.

Ren, Yong, Zhongliang Zhu, & Junlian Huang. (2004). Radical copolymerization of maleimide with ethyl α‐ethylacrylate and α‐ethylacrylic acid via RAFT. Journal of Polymer Science Part A Polymer Chemistry. 42(15). 3828–3835. 23 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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