Zhan Feng

2.0k total citations
60 papers, 1.3k citations indexed

About

Zhan Feng is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Zhan Feng has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Oncology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Zhan Feng's work include Radiomics and Machine Learning in Medical Imaging (14 papers), Renal cell carcinoma treatment (6 papers) and Gastric Cancer Management and Outcomes (5 papers). Zhan Feng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), Renal cell carcinoma treatment (6 papers) and Gastric Cancer Management and Outcomes (5 papers). Zhan Feng collaborates with scholars based in China, United States and Canada. Zhan Feng's co-authors include Zhengyu Hu, Antônio C. Buzaid, Omar Eton, Sewa S. Legha, Carl Plager, Agop Y. Bedikian, Sigrid Ring, Nicholas E. Papadopoulos, J. Jack Lee and Robert S. Benjamin and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Zhan Feng

58 papers receiving 1.3k citations

Peers

Zhan Feng
Beatrice Melin Sweden
Qiang Huang China
Wenhui Huang China
Martine Berlière Belgium
Eloy Sánchez Spain
Shuai Liu China
Michael Yu United States
Yuan Xie China
Linda S. Lindström Sweden
Hiroaki Kuroda Japan
Beatrice Melin Sweden
Zhan Feng
Citations per year, relative to Zhan Feng Zhan Feng (= 1×) peers Beatrice Melin

Countries citing papers authored by Zhan Feng

Since Specialization
Citations

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

Fields of papers citing papers by Zhan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhan Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhan Feng. A scholar is included among the top collaborators of Zhan Feng 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 Zhan Feng. Zhan Feng 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.
Xu, Heping, et al.. (2025). Association of TyG index with mortality at 28 days in sepsis patients in intensive care from MIMIC IV database. Scientific Reports. 15(1). 2344–2344. 5 indexed citations
2.
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Zhang, Rui, Yao Wang, Zhi Li, et al.. (2024). Dynamic radiomics based on contrast-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma. BMC Medical Imaging. 24(1). 80–80. 4 indexed citations
4.
Guo, Chuangen, et al.. (2023). Computed tomography texture-based models for predicting KIT exon 11 mutation of gastrointestinal stromal tumors. Heliyon. 9(10). e20983–e20983. 2 indexed citations
5.
Chen, Geng, et al.. (2023). Domain-Adversarial Transformer Network for Multiphase Liver Tumor Segmentation. PubMed. 2023. 1–4. 1 indexed citations
6.
Wang, Ruihui, Zhengyu Hu, Xiaoyong Shen, et al.. (2021). Computed Tomography-Based Radiomics Model for Predicting the WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma Preoperatively: A Multicenter Study. Frontiers in Oncology. 11. 543854–543854. 18 indexed citations
7.
Xu, Wen, et al.. (2020). A Nomogram Model of Radiomics and Satellite Sign Number as Imaging Predictor for Intracranial Hematoma Expansion. Frontiers in Neuroscience. 14. 491–491. 32 indexed citations
8.
Feng, Zhan, Lixia Zhang, Liang Zhang, et al.. (2020). <p>New Preoperative Nomogram Using the Centrality Index to Predict High Nuclear Grade Clear Cell Renal Carcinoma</p>. Cancer Management and Research. Volume 11. 10921–10928. 5 indexed citations
9.
Feng, Zhan, et al.. (2019). CT texture analysis: a potential tool for predicting the Fuhrman grade of clear-cell renal carcinoma. Cancer Imaging. 19(1). 6–6. 50 indexed citations
10.
Shi, Yu‐Shu, Zhan Feng, Haiyan Xie, et al.. (2019). Abnormal functional connectivity strength in first-episode, drug-naïve adult patients with major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 97. 109759–109759. 39 indexed citations
11.
Hu, Zhengyu, Wenhui Chen, Bing Yang, et al.. (2018). Quantitative parameters of CT texture analysis as potential markers for early prediction of spontaneous intracranial hemorrhage enlargement. European Radiology. 28(10). 4389–4396. 58 indexed citations
12.
Guo, Chuangen, Qidong Wang, Wenbo Xiao, et al.. (2018). The differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma: the values of CT imaging features and texture analysis. Cancer Imaging. 18(1). 37–37. 44 indexed citations
13.
Peng, Guoping, Jianqin Wang, Zhan Feng, et al.. (2016). Clinical and neuroimaging differences between posterior cortical atrophy and typical amnestic Alzheimer’s disease patients at an early disease stage. Scientific Reports. 6(1). 29372–29372. 21 indexed citations
14.
Reynolds, Craig H., et al.. (2013). Sunitinib malate in previously untreated, nonsquamous, non-small cell lung cancer patients over the age of 70 years: Results of a Phase II trial. Investigational New Drugs. 31(5). 1330–1338. 12 indexed citations
15.
Richards, Donald, Darren M. Kocs, Alexander I. Spira, et al.. (2013). Results of docetaxel plus oxaliplatin (DOCOX)±cetuximab in patients with metastatic gastric and/or gastroesophageal junction adenocarcinoma: Results of a randomised Phase 2 study. European Journal of Cancer. 49(13). 2823–2831. 36 indexed citations
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17.
Saltz, Leonard B., Suprith Badarinath, Shaker R. Dakhil, et al.. (2011). Phase III Trial of Cetuximab, Bevacizumab, and 5-Fluorouracil/Leucovorin vs. FOLFOX-Bevacizumab in Colorectal Cancer. Clinical Colorectal Cancer. 11(2). 101–111. 58 indexed citations
18.
Reynolds, Craig H., Roger M. Lyons, William Hyman, et al.. (2011). A Phase III trial of fludarabine, cyclophosphamide, and rituximab vs. pentostatin, cyclophosphamide, and rituximab in B-cell chronic lymphocytic leukemia. Investigational New Drugs. 30(3). 1232–1240. 41 indexed citations
19.
Richards, Donald, Carlos Becerra, Lalan S. Wilfong, et al.. (2009). Gemcitabine plus enzastaurin or single-agent gemcitabine in locally advanced or metastatic pancreatic cancer: Results of a Phase II, randomized, noncomparative study. Investigational New Drugs. 29(1). 144–153. 43 indexed citations
20.
Berry, William R., et al.. (2006). Phase II Study of Low-Dose Docetaxel/Estramustine in Elderly Patients or Patients Aged 18-74 Years with Hormone-Refractory Prostate Cancer. Clinical Genitourinary Cancer. 5(3). 212–218. 3 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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