Sirui Fu

722 total citations
29 papers, 530 citations indexed

About

Sirui Fu is a scholar working on Hepatology, Surgery and Epidemiology. According to data from OpenAlex, Sirui Fu has authored 29 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Hepatology, 11 papers in Surgery and 9 papers in Epidemiology. Recurrent topics in Sirui Fu's work include Hepatocellular Carcinoma Treatment and Prognosis (16 papers), Liver Disease Diagnosis and Treatment (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Sirui Fu is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (16 papers), Liver Disease Diagnosis and Treatment (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Sirui Fu collaborates with scholars based in China and United States. Sirui Fu's co-authors include Ligong Lu, Meixiao Zhan, Yongjie Xin, Zaiyi Liu, Shuting Chen, Chenzi Yang, Wei Li, Wenjun Ni, Yong Li and Bao‐Shan Hu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Cellular Physiology.

In The Last Decade

Sirui Fu

25 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sirui Fu China 14 231 191 158 107 100 29 530
Ying Deng China 12 122 0.5× 136 0.7× 105 0.7× 126 1.2× 104 1.0× 58 457
Zebin Chen China 12 259 1.1× 99 0.5× 81 0.5× 181 1.7× 77 0.8× 28 485
Sui Peng China 11 215 0.9× 114 0.6× 129 0.8× 62 0.6× 74 0.7× 24 402
Kun-He Zhang China 13 117 0.5× 358 1.9× 259 1.6× 51 0.5× 89 0.9× 37 723
Ernest Belmonte Spain 6 171 0.7× 92 0.5× 69 0.4× 78 0.7× 104 1.0× 18 342
Diyang Xie China 8 436 1.9× 106 0.6× 150 0.9× 56 0.5× 215 2.1× 10 632
Chunlin Jiang China 14 222 1.0× 194 1.0× 190 1.2× 25 0.2× 120 1.2× 23 529
Renguo Guan China 14 133 0.6× 296 1.5× 210 1.3× 43 0.4× 57 0.6× 32 639
Fatiha Merabtene France 11 77 0.3× 166 0.9× 123 0.8× 69 0.6× 51 0.5× 20 509

Countries citing papers authored by Sirui Fu

Since Specialization
Citations

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

Fields of papers citing papers by Sirui Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sirui Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Sirui Fu. A scholar is included among the top collaborators of Sirui Fu 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 Sirui Fu. Sirui Fu 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.
Feng, Qianjin, et al.. (2025). Multi-scale camouflaged feature mining and fusion network for liver tumor segmentation. Engineering Applications of Artificial Intelligence. 148. 110398–110398.
2.
Chen, Xiaoqiong, Mingsheng Huang, Xiangrong Yu, et al.. (2024). Hepatic-associated vascular morphological assessment to predict overt hepatic encephalopathy before TIPS: a multicenter study. Hepatology International. 18(4). 1238–1248. 3 indexed citations
3.
Yin, Hua, Yong Li, Sirui Fu, et al.. (2024). Myosteatosis is an independent risk factor for overt hepatic encephalopathy after transjugular intrahepatic portosystemic shunting. European Journal of Gastroenterology & Hepatology. 36(7). 897–903. 1 indexed citations
4.
Liu, Yao, Sirui Fu, Xiangrong Yu, et al.. (2023). Model containing sarcopenia and visceral adiposity can better predict the prognosis of hepatocellular carcinoma: a multicenter study. BMC Cancer. 23(1). 969–969. 1 indexed citations
5.
Zhao, Yujie, Yang Yang, Wei‐Fu Lv, et al.. (2023). A modified model for predicting mortality after transjugular intrahepatic portosystemic shunt: A multicentre study. Liver International. 44(2). 472–482.
6.
Yang, Yang, Xueqing Liang, Xiao‐Feng He, et al.. (2022). Preoperative prediction of overt hepatic encephalopathy caused by transjugular intrahepatic portosystemic shunt. European Journal of Radiology. 154. 110384–110384. 5 indexed citations
7.
Fu, Sirui, Haoran Lai, Qiyang Li, et al.. (2021). Multi-task deep learning network to predict future macrovascular invasion in hepatocellular carcinoma. EClinicalMedicine. 42. 101201–101201. 19 indexed citations
8.
Fu, Sirui, Hui Zhang, Zhenchao Tang, et al.. (2021). Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma. SHILAP Revista de lepidopterología. Volume 8. 1065–1076. 6 indexed citations
9.
Yang, Yang, Sirui Fu, Bin Cao, et al.. (2021). Prediction of overt hepatic encephalopathy after transjugular intrahepatic portosystemic shunt treatment: a cohort study. Hepatology International. 15(3). 730–740. 19 indexed citations
10.
Wei, Jingwei, Sirui Fu, Dongsheng Gu, et al.. (2021). CT‐based radiomics to predict development of macrovascular invasion in hepatocellular carcinoma: A multicenter study. Hepatobiliary & pancreatic diseases international. 21(4). 325–333. 5 indexed citations
11.
Tang, Zhenchao, Sirui Fu, Wei Mu, et al.. (2021). Deep learning-based aggressive progression prediction from CT images of hepatocellular carcinoma. 104–104. 1 indexed citations
12.
Zhao, Wei, Sirui Fu, Yong Li, et al.. (2020). SUMO1 modification of methyltransferase-like 3 promotes tumor progression via regulating Snail mRNA homeostasis in hepatocellular carcinoma. Theranostics. 10(13). 5671–5686. 132 indexed citations
14.
Fu, Sirui, Jingwei Wei, Di Dong, et al.. (2019). Selection Between Liver Resection Versus Transarterial Chemoembolization in Hepatocellular Carcinoma: A Multicenter Study. Clinical and Translational Gastroenterology. 10(8). e00070–e00070. 13 indexed citations
15.
Li, Jia, et al.. (2018). Advanced nanomaterials targeting hypoxia to enhance radiotherapy. International Journal of Nanomedicine. Volume 13. 5925–5936. 44 indexed citations
18.
Zhan, Meixiao, Yong Li, Bao‐Shan Hu, et al.. (2014). Serum MicroRNA-210 as a Predictive Biomarker for Treatment Response and Prognosis in Patients with Hepatocellular Carcinoma undergoing Transarterial Chemoembolization. Journal of Vascular and Interventional Radiology. 25(8). 1279–1287.e1. 31 indexed citations
19.
Zheng, Youbin, Meixiao Zhan, Wei Zhao, et al.. (2014). The relationship of kinase insert domain receptor gene polymorphisms and clinical outcome in advanced hepatocellular carcinoma patients treated with sorafenib. Medical Oncology. 31(10). 209–209. 23 indexed citations
20.
Fu, Sirui, Yingqiang Zhang, Bao‐Shan Hu, et al.. (2014). Sorafenib Continuation after First Disease Progression Could Reduce Disease Flares and Provide Survival Benefits in Patients with Hepatocellular Carcinoma: a Pilot Retrospective Study. Asian Pacific Journal of Cancer Prevention. 15(7). 3151–3156. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026