Zhifang Pan

3.9k total citations · 3 hit papers
92 papers, 3.0k citations indexed

About

Zhifang Pan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhifang Pan has authored 92 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 19 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhifang Pan's work include Metaheuristic Optimization Algorithms Research (16 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Evolutionary Algorithms and Applications (8 papers). Zhifang Pan is often cited by papers focused on Metaheuristic Optimization Algorithms Research (16 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Evolutionary Algorithms and Applications (8 papers). Zhifang Pan collaborates with scholars based in China, United States and Iran. Zhifang Pan's co-authors include Huiling Chen, Ali Asghar Heidari, Mingjing Wang, Guoxi Liang, Zhennao Cai, Jiao Hu, Xiaoming Liu, Amir H. Gandomi, Hao Chen and Ying Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Zhifang Pan

88 papers receiving 3.0k citations

Hit Papers

Multi-population differen... 2020 2026 2022 2024 2020 2020 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhifang Pan China 32 1.3k 658 525 362 341 92 3.0k
Hongmin Cai China 27 912 0.7× 906 1.4× 788 1.5× 223 0.6× 100 0.3× 200 3.0k
M. Sohel Rahman Bangladesh 24 1.1k 0.9× 632 1.0× 892 1.7× 375 1.0× 212 0.6× 196 3.7k
Zhennao Cai China 34 2.2k 1.7× 443 0.7× 643 1.2× 368 1.0× 571 1.7× 83 4.1k
Zhenkun Wen China 21 686 0.5× 389 0.6× 642 1.2× 163 0.5× 153 0.4× 57 2.1k
Themis P. Exarchos Greece 19 1.1k 0.8× 654 1.0× 161 0.3× 279 0.8× 119 0.3× 98 3.2k
Mai S. Mabrouk Egypt 18 1.7k 1.3× 231 0.4× 437 0.8× 197 0.5× 710 2.1× 103 3.6k
Cheng Wang China 22 506 0.4× 157 0.2× 235 0.4× 224 0.6× 275 0.8× 223 3.3k
Bo Yang China 39 1.2k 0.9× 374 0.6× 749 1.4× 593 1.6× 83 0.2× 175 4.0k
Rikiya Yamashita United States 18 1.1k 0.8× 1.6k 2.4× 638 1.2× 499 1.4× 43 0.1× 49 4.1k

Countries citing papers authored by Zhifang Pan

Since Specialization
Citations

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

Fields of papers citing papers by Zhifang Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhifang Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhifang Pan. A scholar is included among the top collaborators of Zhifang Pan 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 Zhifang Pan. Zhifang Pan 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.
Liu, Baojie, Yongzheng Lu, Zhen Shang, et al.. (2025). Preclinical studies of the falnidamol as a highly potent and specific active ABCB1 transporter inhibitor. BMC Cancer. 25(1). 24–24.
2.
Zhang, Yang, Jinhao Wang, Yezhi Lin, et al.. (2024). Preoperative Differentiation of HER2‐Zero and HER2‐Low from HER2‐Positive Invasive Ductal Breast Cancers Using BI‐RADS MRI Features and Machine Learning Modeling. Journal of Magnetic Resonance Imaging. 61(2). 928–941. 3 indexed citations
3.
Zhou, Jiejie, Huiru Liu, Shuxin Ye, et al.. (2024). Breast lesions on MRI in mass and non-mass enhancement: Kaiser score and modified Kaiser score + for readers of variable experience. European Radiology. 35(1). 140–150. 4 indexed citations
5.
Zhang, Chao, Baojie Liu, Yongzheng Lu, et al.. (2023). Ribosomal protein L22‐like1 promotes prostate cancer progression by activating PI3K/Akt/mTOR signalling pathway. Journal of Cellular and Molecular Medicine. 27(3). 403–411. 15 indexed citations
6.
Yu, Tao, et al.. (2023). Cell division cycle 42 effector protein 4 inhibits prostate cancer progression by suppressing ERK signaling pathway. SHILAP Revista de lepidopterología. 24(4). 840–847. 2 indexed citations
7.
Wei, Yaru, Haojie Wang, Zhongwei Chen, et al.. (2023). Deep Learning‐Based Multiparametric MRI Model for Preoperative T‐Stage in Rectal Cancer. Journal of Magnetic Resonance Imaging. 59(3). 1083–1092. 15 indexed citations
8.
Zhang, Ruxia, Xin Ye, Wenxing Wang, et al.. (2023). Development and evaluation of machine learning models and nomogram for the prediction of severe acute pancreatitis. Journal of Gastroenterology and Hepatology. 38(3). 468–475. 11 indexed citations
9.
Xia, Jianfu, Zhifei Wang, Daqing Yang, et al.. (2022). Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis. Computers in Biology and Medicine. 143. 105206–105206. 80 indexed citations breakdown →
10.
Ye, Xiaojia, Zhennao Cai, Chenglang Lu, Huiling Chen, & Zhifang Pan. (2022). Boosted Sine Cosine Algorithm with Application to Medical Diagnosis. Computational and Mathematical Methods in Medicine. 2022. 1–21. 4 indexed citations
11.
Lou, Lihua, Meihao Wang, Xiang Zhang, et al.. (2022). Application of Machine Learning in Intelligent Medical Image Diagnosis and Construction of Intelligent Service Process. Computational Intelligence and Neuroscience. 2022. 1–14. 9 indexed citations
12.
Liu, Lei, Dong Zhao, Fanhua Yu, et al.. (2021). Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation. Computers in Biology and Medicine. 138. 104910–104910. 78 indexed citations
13.
Hu, Jiao, Ali Asghar Heidari, Lejun Zhang, et al.. (2021). Chaotic diffusion‐limited aggregation enhanced grey wolf optimizer: Insights, analysis, binarization, and feature selection. International Journal of Intelligent Systems. 37(8). 4864–4927. 59 indexed citations
14.
Zhang, Qiang, Guihua Wang, Guihua Wang, et al.. (2020). Mechanical Changes and Microfilament Reorganization Involved in Microcystin-LR-Promoted Cell Invasion in DU145 and WPMY Cells. Frontiers in Pharmacology. 11. 89–89. 11 indexed citations
15.
Ding, Weifeng, et al.. (2019). Improved Wavelet Threshold for Image De-noising. Frontiers in Neuroscience. 13. 39–39. 35 indexed citations
16.
Liu, Xiaoming, et al.. (2019). Unpaired Data based Cross-domain Synthesis and Segmentation Using Attention Neural Network.. Asian Conference on Machine Learning. 987–1000. 4 indexed citations
17.
Fan, Shutong, Zhiwei Pan, Zhiwei Pan, et al.. (2018). ZNF185‐derived peptide induces fertility suppression in mice. Journal of Peptide Science. 24(10). e3121–e3121. 5 indexed citations
18.
Hu, Lufeng, Feiyan Lin, Huaizhong Li, et al.. (2016). An intelligent prognostic system for analyzing patients with paraquat poisoning using arterial blood gas indexes. Journal of Pharmacological and Toxicological Methods. 84. 78–85. 26 indexed citations
19.
Wang, Qingzhong, Huilian Liu, Yuqiang Shi, Zhifang Pan, & Jiangang Wang. (2008). Activation of the GFRa1/NCAM pathway stimulates Sertoli cell proliferation in vitro. Belgian journal of zoology. 138(2). 177–183. 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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