Yu Fu

3.4k total citations · 1 hit paper
114 papers, 2.6k citations indexed

About

Yu Fu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yu Fu has authored 114 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Molecular Biology and 20 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yu Fu's work include Radiomics and Machine Learning in Medical Imaging (20 papers), Lung Cancer Diagnosis and Treatment (10 papers) and Nanoplatforms for cancer theranostics (9 papers). Yu Fu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), Lung Cancer Diagnosis and Treatment (10 papers) and Nanoplatforms for cancer theranostics (9 papers). Yu Fu collaborates with scholars based in China, United States and Australia. Yu Fu's co-authors include Shoujun Zhu, Yubin Song, Xiaohuan Zhao, Bai Yang, Li Wang, Shitong Zhang, Yang Bai, Junhu Zhang, Siyuan Xiang and Hao Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Water Research.

In The Last Decade

Yu Fu

100 papers receiving 2.6k citations

Hit Papers

Investigation from chemical structure to photoluminescent... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Fu China 22 1.3k 547 462 356 295 114 2.6k
Ramapurath S. Jayasree India 27 800 0.6× 698 1.3× 356 0.8× 175 0.5× 151 0.5× 105 2.0k
Yaxi Li China 33 1.0k 0.8× 1.0k 1.9× 390 0.8× 165 0.5× 386 1.3× 135 2.9k
Yanan Chang China 24 1.1k 0.8× 814 1.5× 459 1.0× 88 0.2× 224 0.8× 91 2.3k
Effendi Widjaja Singapore 34 944 0.7× 713 1.3× 434 0.9× 131 0.4× 284 1.0× 94 3.4k
Ke Li China 35 1.3k 1.0× 1.8k 3.3× 901 2.0× 245 0.7× 226 0.8× 167 3.6k
Jian Shu China 25 814 0.6× 1.4k 2.6× 1.0k 2.2× 268 0.8× 654 2.2× 97 2.9k
Lan Ma China 29 495 0.4× 1.0k 1.9× 993 2.1× 116 0.3× 209 0.7× 134 2.4k
Mi‐Jeong Kim South Korea 29 1.2k 0.9× 402 0.7× 455 1.0× 61 0.2× 426 1.4× 107 2.7k
Guoqing Wei China 26 836 0.6× 1.0k 1.9× 684 1.5× 67 0.2× 406 1.4× 81 2.7k
Xiaoting Li China 28 483 0.4× 394 0.7× 674 1.5× 77 0.2× 505 1.7× 200 2.7k

Countries citing papers authored by Yu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Fu. A scholar is included among the top collaborators of Yu 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 Yu Fu. Yu 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
4.
Fu, Yu, et al.. (2024). SSAL-Net: Semi-supervised network integrating self-supervised adversarial learning for diagnosing subtypes of pulmonary nodules. Biomedical Signal Processing and Control. 96. 106585–106585.
5.
Fu, Yu, Qun Luo, Bin Liu, & Qian Li. (2024). Viscosity Calculation for Al–Si–Mg–Fe System through CALPHAD Method. Advanced Engineering Materials. 26(20). 2 indexed citations
6.
Zhang, Zhuo, Yu Fu, Lihua Zhao, et al.. (2024). Prediction of arsenic and fluoride in groundwater of the North China Plain using enhanced stacking ensemble learning. Water Research. 259. 121848–121848. 33 indexed citations
7.
Fu, Yu, et al.. (2024). Celiac Axis Stenosis as an Independent Risk Factor for Bile Leakage in Laparoscopic Pancreaticoduodenectomy: A Retrospective Study. Journal of Laparoendoscopic & Advanced Surgical Techniques. 34(8). 682–690. 2 indexed citations
8.
Fu, Yu, Hong Zhang, Taohui Xiao, et al.. (2023). Qualitative analysis of PD-L1 expression in non-small-cell lung cancer based on chest CT radiomics. Biomedical Signal Processing and Control. 84. 104815–104815. 2 indexed citations
9.
10.
Fu, Yu, et al.. (2022). Semi-Supervised Adversarial Learning for Improving the Diagnosis of Pulmonary Nodules. IEEE Journal of Biomedical and Health Informatics. 27(1). 109–120. 9 indexed citations
11.
Fu, Yu, et al.. (2022). Socioeconomic inequality in health care use among cancer patients in China: Evidence from the China health and retirement longitudinal study. Frontiers in Public Health. 10. 942911–942911. 11 indexed citations
12.
Zhao, Hongguang, Yan Guo, Fanyang Meng, et al.. (2021). A PET/CT nomogram incorporating SUVmax and CT radiomics for preoperative nodal staging in non-small cell lung cancer. European Radiology. 31(8). 6030–6038. 36 indexed citations
14.
Fu, Yu, Kan He, Shuxu Guo, et al.. (2020). Colorectal Tumor Segmentation of CT Scans Based on a Convolutional Neural Network With an Attention Mechanism. IEEE Access. 8. 64131–64138. 26 indexed citations
15.
Su, Shanshan, Chunjiang Li, Yongxin Zhao, et al.. (2020). Outbreak of KPC-2–Producing Klebsiella pneumoniae ST76 Isolates in an Intensive Care Unit and Neurosurgery Unit. Microbial Drug Resistance. 26(9). 1009–1018. 14 indexed citations
17.
Zhao, Yongxin, Jisheng Zhang, Chunjiang Li, et al.. (2020). Molecular characterization of metallo-β-lactamase- producing carbapenem-resistant Enterobacter cloacae complex isolated in Heilongjiang Province of China. BMC Infectious Diseases. 20(1). 94–94. 10 indexed citations
18.
Fu, Yu, et al.. (2019). <p>Chlorins e6 loaded silica nanoparticles coated with gastric cancer cell membrane for tumor specific photodynamic therapy of gastric cancer</p>. International Journal of Nanomedicine. Volume 14. 5061–5071. 68 indexed citations
19.
Tang, Yunqi, Yuan Meng, Baojiang Jiang, et al.. (2017). Inorganic acid-derived hydrogen-bonded organic frameworks to form nitrogen-rich carbon nitrides for photocatalytic hydrogen evolution. Journal of Materials Chemistry A. 5(41). 21979–21985. 87 indexed citations
20.
Jia, Baoxing, Bai Ji, Zhe Jin, et al.. (2014). Acute severe cholecystitis treated by percutaneous transhepatic gallbladder drainage combined with laparoscopic cholecystectomy. Zhonghua gan-dan waike zazhi. 20(11). 802–804. 1 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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