Yun Bian

1.5k total citations
87 papers, 1.0k citations indexed

About

Yun Bian is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Yun Bian has authored 87 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Oncology, 42 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Epidemiology. Recurrent topics in Yun Bian's work include Pancreatic and Hepatic Oncology Research (53 papers), Radiomics and Machine Learning in Medical Imaging (30 papers) and Neuroendocrine Tumor Research Advances (16 papers). Yun Bian is often cited by papers focused on Pancreatic and Hepatic Oncology Research (53 papers), Radiomics and Machine Learning in Medical Imaging (30 papers) and Neuroendocrine Tumor Research Advances (16 papers). Yun Bian collaborates with scholars based in China, United States and Israel. Yun Bian's co-authors include Xu Fang, Jianping Lu, Hui Jiang, Chengwei Shao, Chao Ma, Kai Cao, Gang Jin, Jieyu Yu, Jianping Lu and Jianping Lu and has published in prestigious journals such as Radiology, Spine and IEEE Transactions on Image Processing.

In The Last Decade

Yun Bian

82 papers receiving 1.0k citations

Peers

Countries citing papers authored by Yun Bian

Since Specialization

Citations

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

Fields of papers citing papers by Yun Bian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Bian. A scholar is included among the top collaborators of Yun Bian 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 Yun Bian. Yun Bian 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	A deep learning detection method for pancreatic cystic neoplasm based on Mamba architecture 2025 ·Journal of X-Ray Science and Technology ·(unknown), Cong He, Liang Jin, Chengwei Chen, Jie Wu, Yun Bian	1
2	D-A-D type based NIR fluorescence probe for monitoring the cysteine levels in pancreatic cancer cell during ferroptosis 2024 ·Bioorganic Chemistry ·Jingcan Qin, Jing Wang, Yun Bian, Chengwei Shao	12
3	Values of apparent diffusion coefficient in pancreatic cancer patients receiving neoadjuvant therapy 2024 ·BMC Cancer ·Yufei Chen, Chao Ma, Panpan Yang, (unknown), (unknown), Luguang Chen, Zhen Wang, Yun Bian, Chengwei Shao, Jianping Lu	1
4	Style Consistency Unsupervised Domain Adaptation Medical Image Segmentation 2024 ·IEEE Transactions on Image Processing ·(unknown), Yun Bian, (unknown), (unknown), Weifang Zhu, Fei Shi, Chengwei Shao, Xinjian Chen, Dehui Xiang	1
5	Unpaired Dual-Modal Image Complementation Learning for Single-Modal Medical Image Segmentation 2024 ·IEEE Transactions on Biomedical Engineering ·Dehui Xiang, Tao Peng, Yun Bian, (unknown), (unknown), Fei Shi, Weifang Zhu, Xinjian Chen	0
6	Automated pancreatic segmentation and fat fraction evaluation based on a self-supervised transfer learning network 2024 ·Computers in Biology and Medicine ·Gaofeng Zhang, Qian Zhan, (unknown), (unknown), Panpan Yang, (unknown), Lijia Wang, Bin Song, Yufei Chen, Yun Bian, Chengwei Shao, Jianping Lu, Chao Ma	5
7	Cross-Modal Consistency for Single-Modal MR Image Segmentation 2024 ·IEEE Transactions on Biomedical Engineering ·(unknown), (unknown), Yun Bian, (unknown), Weifang Zhu, Fei Shi, Xinjian Chen, Chengwei Shao, Dehui Xiang	4
8	Deep Attention Learning for Pre-operative Lymph Node Metastasis Prediction in Pancreatic Cancer via Multi-object Relationship Modeling 2024 ·International Journal of Computer Vision ·Zhilin Zheng, Xu Fang, Jiawen Yao, (unknown), (unknown), Yu Shi, Hong Lü, Jianping Lu, Ling Zhang, Chengwei Shao, Yun Bian	0
9	Tracheal computed tomography radiomics model for prediction of the Omicron variant of severe acute respiratory syndrome coronavirus 2 2024 ·Die Radiologie ·Xu Fang, Feng Shi, Fang Liu, Ying Wei, Jing Li, Jiaojiao Wu, Tiegong Wang, Jianping Lu, (unknown), Yun Bian	1
10	Replacing secretin-enhanced MRCP with MRI radiomics model based on a fully automated pancreas segmentation for assessing pancreatic exocrine function in chronic pancreatitis 2023 ·European Radiology ·Yun Bian, Jian Zhou, (unknown), Jieyu Yu, (unknown), Xu Fang, Fang Liu, Tiegong Wang, (unknown), Li Wang, Jianping Lu, Chengwei Shao	1
11	Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT? 2023 ·Cancer Imaging ·Panpan Yang, (unknown), (unknown), Zhen Wang, Jun Wang, Yufei Chen, Chao Ma, Yun Bian, Chengwei Shao, Jianping Lu	6
12	MLAGG-Net: Multi-level aggregation and global guidance network for pancreatic lesion segmentation in histopathological images 2023 ·Biomedical Signal Processing and Control ·Ao Liu, Hui Jiang, Weiwei Cao, (unknown), Dehui Xiang, Chengwei Shao, Zhaobang Liu, Yun Bian, Jian Zheng	2
13	Variabilities in apparent diffusion coefficient (ADC) measurements of the spleen and the paraspinal muscle: A single center large cohort study 2023 ·Heliyon ·Yukun Chen, Panpan Yang, Caixia Fu, Yun Bian, Chengwei Shao, Chao Ma, Jianping Lu	2
14	Diffusion‐Weighted Imaging of the Abdomen: Correction for Gradient Nonlinearity Bias in Apparent Diffusion Coefficient 2022 ·Journal of Magnetic Resonance Imaging ·Jian Wang, Chao Ma, Panpan Yang, Zhen Wang, Yufei Chen, Yun Bian, Chengwei Shao, Jianping Lu	6
15	Prediction of Tumor-Infiltrating CD20+ B-Cells in Patients with Pancreatic Ductal Adenocarcinoma Using a Multilayer Perceptron Network Classifier Based on Non-contrast MRI 2021 ·Academic Radiology ·(unknown), Jieyu Yu, Hao Zhang, (unknown), Yan Fang Liu, Hui Jiang, (unknown), Na Li, Jian Zhou, Fang Liu, Xu Fang, Jing Li, Xiaochen Feng, Jianping Lu, Chengwei Shao, Yun Bian	8
16	Generalized additive mixed model to evaluate the association between total pulmonary infection volume and volume ratio, and clinical types, in patients with COVID-19 pneumonia: a propensity score analysis 2021 ·European Radiology ·Tingting Zhang, Xiao Li, Xiang Ji, Jianping Lu, Xu Fang, Yun Bian	4
17	MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas 2021 ·BMC Medical Imaging ·Tao Song, Qianwen Zhang, Shaofeng Duan, Yun Bian, Qiang Hao, (unknown), Tiegong Wang, (unknown), Chao Ma, Jianping Lu	21
18	Probing the nuclear import signal and nuclear transport molecular determinants of PRV ICP22 2016 ·Cell & Bioscience ·Mingsheng Cai, (unknown), Zhan‐Cheng Zeng, Xiaowei Li, (unknown), (unknown), Chunke Chen, (unknown), Yun Bian, Jinlin Wang, (unknown), Daixiong Chen, Tao Peng, Meili Li	20
19	Combination of secretin-enhanced MR cholangiopancreatography and conventional MRI in the diagnosis of chronic pancreatitis 2014 ·Zhonghua fangshexian yixue zazhi ·Yun Bian, Li Wang, Chao Chen, Jianping Lu, Shiyue Chen, Binghui Zhao	1
20	Neuregulin-1 attenuated doxorubicin-induced decrease in cardiac troponins 2009 ·American Journal of Physiology-Heart and Circulatory Physiology ·Yun Bian, Maoyun Sun, Marcy Silver, Kalon K.L. Ho, Mark A. Marchionni, Anthony O. Caggiano, James R. Stone, Ivo Amende, Thomas Hampton, James P. Morgan, Xinhua Yan	62

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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