Fangfang Han

1.2k total citations
44 papers, 890 citations indexed

About

Fangfang Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fangfang Han has authored 44 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pulmonary and Respiratory Medicine and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fangfang Han's work include Radiomics and Machine Learning in Medical Imaging (17 papers), Lung Cancer Diagnosis and Treatment (11 papers) and AI in cancer detection (9 papers). Fangfang Han is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), Lung Cancer Diagnosis and Treatment (11 papers) and AI in cancer detection (9 papers). Fangfang Han collaborates with scholars based in China and United States. Fangfang Han's co-authors include Zhengrong Liang, Bowen Song, William H. Moore, Hao Han, Lihong Li, Hong Zhao, Guopeng Zhang, Hongbing Lu, Huafeng Wang and Shouliang Qi and has published in prestigious journals such as Advanced Functional Materials, Scientific Reports and IEEE Access.

In The Last Decade

Fangfang Han

38 papers receiving 866 citations

Peers

Countries citing papers authored by Fangfang Han

Since Specialization

Citations

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

Fields of papers citing papers by Fangfang Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Fangfang Han. A scholar is included among the top collaborators of Fangfang Han 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 Fangfang Han. Fangfang Han 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

#	Work	Indexed citations
1	Prediction of adverse drug reactions based on pharmacogenomics combination features: a preliminary study 2025 ·Frontiers in Pharmacology ·(unknown), (unknown), Fangfang Han, (unknown)	1
2	A novel weighted pseudo-labeling framework based on matrix factorization for adverse drug reaction prediction 2025 ·BMC Bioinformatics ·(unknown), Fangfang Han, (unknown), Yongyong Shi, (unknown)	0
3	Association between life’s essential 8 cardiovascular health score and glaucoma risk: evidence from NHANES 2025 ·International Ophthalmology ·(unknown), Xuemei Pan, (unknown), (unknown), Qingyang Zhu, Quanyong Yi, Fangfang Han	0
4	Lesion Classification by Model-Based Feature Extraction: A Differential Affine Invariant Model of Soft Tissue Elasticity in CT Images 2024 ·Journal of Imaging Informatics in Medicine ·(unknown), M.J. Pomeroy, Zhengrong Liang, (unknown), Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbin Lu, (unknown), Perry J. Pickhardt	0
5	Integrated analysis of scRNA-seq and bulk RNA-seq reveals that GPRC5A is an important prognostic gene in pancreatic cancer and is associated with B-cell Infiltration in pancreatic cancer 2024 ·Frontiers in Oncology ·(unknown), (unknown), Ningning Mi, (unknown), (unknown), Long Gao, Haiping Wang, (unknown), Yanyan Lin, Fangfang Han, Chen Zhou, Wence Zhou	2
6	High-precision rotation angle measurement method based on polarization self-mixing interference 2023 ·Applied Optics ·Yan Zhao, (unknown), (unknown), Fangfang Han	1
7	A dynamic lesion model for differentiation of malignant and benign pathologies 2021 ·Scientific Reports ·(unknown), Zhengrong Liang, Yongfeng Gao, (unknown), Fangfang Han, Almas Abbasi, Perry J. Pickhardt	5
8	Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning 2020 ·Journal of Digital Imaging ·Fangfang Han, (unknown), Junxin Chen, Yueyang Teng, Shuo Chen, Shouliang Qi, Wei Qian, Jie Yang, William H. Moore, Shu Zhang, Zhengrong Liang	7
9	Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children 2019 ·BMC Medical Imaging ·(unknown), Min� Li, He Ma, Fangfang Han, Yan Wang, (unknown), Zhimin Liu, (unknown), Jie Tian, Di Dong, Yun Peng	24
10	An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets 2019 ·Computerized Medical Imaging and Graphics ·Shu Zhang, Fangfang Han, Zhengrong Liang, Jiaxing Tan, (unknown), Yongfeng Gao, (unknown), Kenneth Ng, Wei Hou	34
11	Evaluation of parametrial infiltration in cervical cancer with voxel-based segmentation of integrated 18F-FDG PET/MRI images: A preliminary study 2019 ·European Journal of Radiology ·Tong Wang, Hongzan Sun, Fangfang Han, (unknown), Zhongwei Chen	4
12	Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method 2019 ·European Journal of Radiology ·Xiangde Min, (unknown), Di Dong, Zhaoyan Feng, Peipei Zhang, Ke Zan, (unknown), Fangfang Han, He Ma, Jie Tian, Liang Wang	109
13	Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images 2018 ·IEEE Access ·Patrice Monkam, Shouliang Qi, Mingjie Xu, (unknown), Fangfang Han, Yueyang Teng, Wei Qian	35
14	CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images 2018 ·BioMedical Engineering OnLine ·Patrice Monkam, Shouliang Qi, Mingjie Xu, Fangfang Han, (unknown), Wei Qian	44
15	The detection of crackles based on mathematical morphology in spectrogram analysis 2015 ·Technology and Health Care ·(unknown), Xuefeng Wang, Fangfang Han, (unknown)	18
16	Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules 2014 ·Journal of Digital Imaging ·Fangfang Han, Huafeng Wang, Guopeng Zhang, Hao Han, Bowen Song, Lihong Li, William H. Moore, Hongbing Lu, Hong Zhao, Zhengrong Liang	206
17	Fast 3D skeleton extraction of airways and applications to virtual bronchoscopy 2014 ·(unknown), Jinzhu Yang, Wenjun Tan, (unknown), Fangfang Han, Dazhe Zhao	2
18	A Block Advanced PCA Fusion Algorithm Based on PET/CT 2011 ·Jinzhu Yang, Fangfang Han, Dazhe Zhao	18
19	Notice of Retraction: Design of odd number rational coefficients symmetric compactly-supported biorthogonal wavelet filters 2010 ·Fangfang Han, Fajie Duan, Xiaojie Duan, Chao Zhang	1
20	Die-surface design method compensating springback of varied curvature bending for sheet metal 2009 ·Machinery Design and Manufacture ·Fangfang Han	1

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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