Guangda Fan

467 total citations
9 papers, 297 citations indexed

About

Guangda Fan is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Guangda Fan has authored 9 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Biomedical Engineering and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Guangda Fan's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (2 papers) and AI in cancer detection (2 papers). Guangda Fan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (2 papers) and AI in cancer detection (2 papers). Guangda Fan collaborates with scholars based in China. Guangda Fan's co-authors include Guanglei Zhang, Peng Zhang, Fan Song, Yangyang Sun, Youdan Feng, Chenbin Ma, Xiangyu Zhao, Tianyi Zhang, Luqi Zhang and Fei Liu and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Guangda Fan

9 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guangda Fan China	9	176	135	62	54	51	9	297
Youdan Feng China	10	129 0.7×	141 1.0×	77 1.2×	44 0.8×	39 0.8×	23	291
Zhuo He China	11	176 1.0×	84 0.6×	100 1.6×	60 1.1×	46 0.9×	32	391
Mehran Pesteie Canada	10	108 0.6×	79 0.6×	38 0.6×	67 1.2×	30 0.6×	15	251
Carlos Martín-Isla Spain	9	219 1.2×	101 0.7×	106 1.7×	64 1.2×	27 0.5×	14	371
Mostafa Ghelich Oghli Iran	9	237 1.3×	107 0.8×	62 1.0×	98 1.8×	39 0.8×	19	386
Fereshteh Yousefirizi Canada	11	249 1.4×	89 0.7×	30 0.5×	41 0.8×	73 1.4×	38	357
Ade Iriani Sapitri Indonesia	10	73 0.4×	60 0.4×	143 2.3×	57 1.1×	67 1.3×	38	344
Max W. K. Law Hong Kong	10	121 0.7×	96 0.7×	40 0.6×	27 0.5×	42 0.8×	17	310
Alireza Sedghi Canada	9	101 0.6×	40 0.3×	13 0.2×	95 1.8×	66 1.3×	23	285
Hagar Khalid United Kingdom	12	528 3.0×	48 0.4×	20 0.3×	47 0.9×	22 0.4×	37	688

Countries citing papers authored by Guangda Fan

Since Specialization

Citations

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

Fields of papers citing papers by Guangda Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangda Fan

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Song, Fan, Xiao Song, Youdan Feng, et al.. (2023). Radiomics feature analysis and model research for predicting histopathological subtypes of non‐small cell lung cancer on CT images: A multi‐dataset study. Medical Physics. 50(7). 4351–4365. 21 indexed citations

Feng, Youdan, Fan Song, Peng Zhang, et al.. (2022). Prediction of EGFR Mutation Status in Non–Small Cell Lung Cancer Based on Ensemble Learning. Frontiers in Pharmacology. 13. 897597–897597. 9 indexed citations

Zhang, Peng, Chenbin Ma, Fan Song, et al.. (2022). A review of advances in imaging methodology in fluorescence molecular tomography. Physics in Medicine and Biology. 67(10). 10TR01–10TR01. 36 indexed citations

Zhao, Xiangyu, Peng Zhang, Fan Song, et al.. (2022). Prior Attention Network for Multi-Lesion Segmentation in Medical Images. IEEE Transactions on Medical Imaging. 41(12). 3812–3823. 32 indexed citations

Ma, Chenbin, Peng Zhang, Fan Song, et al.. (2022). KD-Informer: A Cuff-Less Continuous Blood Pressure Waveform Estimation Approach Based on Single Photoplethysmography. IEEE Journal of Biomedical and Health Informatics. 27(5). 2219–2230. 57 indexed citations

Zhao, Xiangyu, Peng Zhang, Fan Song, et al.. (2021). D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution. Computers in Biology and Medicine. 135. 104526–104526. 60 indexed citations

Zhang, Peng, et al.. (2021). UHR-DeepFMT: Ultra-High Spatial Resolution Reconstruction of Fluorescence Molecular Tomography Based on 3-D Fusion Dual-Sampling Deep Neural Network. IEEE Transactions on Medical Imaging. 40(11). 3217–3228. 36 indexed citations

Zhang, Peng, Chenbin Ma, Yangyang Sun, et al.. (2021). Global hybrid multi-scale convolutional network for accurate and robust detection of atrial fibrillation using single-lead ECG recordings. Computers in Biology and Medicine. 139. 104880–104880. 32 indexed citations

Song, Lan, Wei Han, Guangda Fan, et al.. (2020). Hybrid Clinical-Radiomics Model for Precisely Predicting the Invasiveness of Lung Adenocarcinoma Manifesting as Pure Ground-Glass Nodule. Academic Radiology. 28(9). e267–e277. 14 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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