Chi-Cheng Fu

425 total citations
12 papers, 216 citations indexed

About

Chi-Cheng Fu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Chi-Cheng Fu has authored 12 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Artificial Intelligence. Recurrent topics in Chi-Cheng Fu's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Lung Cancer Diagnosis and Treatment (6 papers) and AI in cancer detection (5 papers). Chi-Cheng Fu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Lung Cancer Diagnosis and Treatment (6 papers) and AI in cancer detection (5 papers). Chi-Cheng Fu collaborates with scholars based in China. Chi-Cheng Fu's co-authors include Fang Qu, Yiqian Zhang, Peng Xu, Lei Lv, Yixian Guo, Yinglong Guo, Qiong Song, Mengmeng Jiang, Xiuzhong Yao and Liping Zhang and has published in prestigious journals such as Scientific Reports, IEEE Access and Journal of Magnetic Resonance Imaging.

In The Last Decade

Chi-Cheng Fu

11 papers receiving 213 citations

Peers

Countries citing papers authored by Chi-Cheng Fu

Since Specialization

Citations

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

Fields of papers citing papers by Chi-Cheng Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi-Cheng Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Chi-Cheng Fu. A scholar is included among the top collaborators of Chi-Cheng 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 Chi-Cheng Fu. Chi-Cheng Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Aerodynamic Simulation of Small Airway Resistance: A New Imaging Biomarker for Chronic Obstructive Pulmonary Disease 2024 ·International Journal of COPD ·Di Zhang, (unknown), (unknown), Mingzi Zhang, (unknown), (unknown), (unknown), Lu Yang, (unknown), Wenting Tu, (unknown), Jixin Hou, (unknown), Chi-Cheng Fu, Fang Qu, Chuan He, Shiyuan Liu, Li Fan	1
2	Radiologists with assistance of deep learning can achieve overall accuracy of benign–malignant differentiation of musculoskeletal tumors comparable with that of pre-surgical biopsies in the literature 2023 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), (unknown), Mingzi Zhang, (unknown), Yan Xu, Shenghui Wu, Peng Liao, Hongtao Lu, Wei Feng Shen, Chi-Cheng Fu, (unknown), Chuan He, Fang Qu, Jiong Mei	0
3	Automatic Segmentation of Kidney Volume Using Multi-Module Hybrid Based U-Shape in Polycystic Kidney Disease 2023 ·IEEE Access ·(unknown), Yiyi Ma, (unknown), (unknown), Mingzi Zhang, Lili Fu, Chi-Cheng Fu, (unknown), Chuan He, Cheng Xue, Changlin Mei, Shuwei Song	6
4	Deep learning to automatically evaluate HER2 gene amplification status from fluorescence in situ hybridization images 2023 ·Scientific Reports ·Tian Xue, (unknown), Min Ren, Haochen Wang, Yang Yu, Boyang Wang, Lei Lv, Licheng Tang, Chi-Cheng Fu, (unknown), Chuan He, Xiaoli Zhu, Xiaoyan Zhou, Qianming Bai	13
5	Diagnostic performance for severity grading of hip osteoarthritis and osteonecrosis of femoral head on radiographs: Deep learning model vs. board-certified orthopaedic surgeons 2023 ·Chen Chen, (unknown), Yong Feng, (unknown), Chi-Cheng Fu, Ye Lin, (unknown), Dongxu Liu, Guoyan Zheng, Changqing Zhang	2
6	Deep convolutional neural network-based classification of cancer cells on cytological pleural effusion images 2022 ·Modern Pathology ·Xiaofeng Xie, Chi-Cheng Fu, Lei Lv, (unknown), Yue Yu, (unknown), Liping Zhang, Likun Hou, Chunyan Wu	43
7	A new AI-assisted scoring system for PD-L1 expression in NSCLC 2022 ·Computer Methods and Programs in Biomedicine ·Ziling Huang, Lijun Chen, Lei Lv, Chi-Cheng Fu, Yan Jin, Qiang Zheng, Boyang Wang, (unknown), Fang Qu, Yuan Li	18
8	Development, Validation, and Comparison of Image-Based, Clinical Feature-Based and Fusion Artificial Intelligence Diagnostic Models in Differentiating Benign and Malignant Pulmonary Ground-Glass Nodules 2022 ·Frontiers in Oncology ·Xiang Wang, Man Gao, (unknown), (unknown), Wenting Tu, (unknown), (unknown), (unknown), Mingzi Zhang, Yang Lu, Chi-Cheng Fu, Qiong Li, Li Fan, Shiyuan Liu	9
9	Artificial intelligence-based rapid on-site cytopathological evaluation for bronchoscopy examinations 2022 ·Intelligence-Based Medicine ·(unknown), Qin Hu, Yencheng Chao, Chi-Cheng Fu, Wei Yuan, Lei Lv, (unknown), Chun Li, Maosong Ye, Yong Zhang, Qunying Hong, Jie Hu, Xiaobo Xu, (unknown), (unknown), Xingxing Wang, Fang Qu, Boyang Wang, Yingyong Hou, Xin Zhang	13
10	Deep Learning Assisted Diagnosis of Musculoskeletal Tumors Based on Contrast‐Enhanced Magnetic Resonance Imaging 2021 ·Journal of Magnetic Resonance Imaging ·(unknown), Mingzi Zhang, (unknown), Yan Xu, Shenghui Wu, Peng Liao, Hongtao Lu, Wei Feng Shen, Chi-Cheng Fu, (unknown), Fang Qu, Jiong Mei	10
11	Histological Subtypes Classification of Lung Cancers on CT Images Using 3D Deep Learning and Radiomics 2020 ·Academic Radiology ·Yixian Guo, Qiong Song, Mengmeng Jiang, Yinglong Guo, Peng Xu, Yiqian Zhang, Chi-Cheng Fu, Fang Qu, (unknown), Xiuzhong Yao	62
12	Predicting the invasiveness of lung adenocarcinomas appearing as ground-glass nodule on CT scan using multi-task learning and deep radiomics 2020 ·Translational Lung Cancer Research ·Xiang Wang, Qingchu Li, Jiali Cai, Wei Wang, Peng Xu, Yiqian Zhang, Fang Qu, Chi-Cheng Fu, Li Fan, (unknown), Shiyuan Liu	39

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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