Shidan Wang

2.8k citations

45 papers · 1.5k indexed · 1 hit paper · h-index 20

Artificial Intelligence top 2%
Radiology, Nuclear Medicine and Imaging top 2%
Pulmonary and Respiratory Medicine top 10%
Oncology top 10%
Molecular Biology

Co-authors: Guanghua Xiao Yang Xie Donghan M. Yang Xiaowei Zhan Ruichen Rong Lin Yang Junya Fujimoto David E. Gerber
Topics: AI in cancer detection (14 papers)Radiomics and Machine Learning in Medical Imaging (12 papers)Lung Cancer Diagnosis and Treatment (9 papers)
Cited by: Health Informatics Radiology, Nuclear Medicine and Imaging Biophysics
Journals: Journal of Clinical Investigation Nature Communications Gastroenterology
Partner nations: United States China Japan

In The Last Decade

Shidan Wang

45 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A critical assessment of using ChatGPT for extracting structured data from clinical notes

2024 101 citations Donghan M. Yang, Ruichen Rong et al. profile →

Peers

Countries citing papers authored by Shidan Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shidan Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shidan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shidan Wang. A scholar is included among the top collaborators of Shidan Wang 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 Shidan Wang. Shidan Wang 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	Image-based inference of tumor cell trajectories enables large-scale cancer progression analysis 2025 ·Science Advances ·(unknown),(unknown),Ruichen Rong,Shidan Wang,Liwei Jia,(unknown),(unknown),Guanghua Xiao,Yang Xie	1
2	STIE: Single-cell level deconvolution, convolution, and clustering in in situ capturing-based spatial transcriptomics 2024 ·Nature Communications ·Shijia Zhu,Naoto Kubota,Shidan Wang,Tao Wang,Guanghua Xiao,Yujin Hoshida	4
3	Cell Segmentation With Globally Optimized Boundaries (CSGO): A Deep Learning Pipeline for Whole-Cell Segmentation in Hematoxylin-and-Eosin–Stained Tissues 2024 ·Laboratory Investigation ·(unknown),Shidan Wang,Ruichen Rong,Zhuo Zhao,(unknown),(unknown),Zhuoyu Wen,Zhikai Chi,Yisheng Fang,Yan Peng,Liwei Jia,Mingyi Chen,Donghan M. Yang,Yujin Hoshida,Yang Xie,Guanghua Xiao	4
4	Enhanced Pathology Image Quality with Restore–Generative Adversarial Network 2023 ·American Journal Of Pathology ·Ruichen Rong,Shidan Wang,Xinyi Zhang,Zhuoyu Wen,Xian Wu Cheng,Liwei Jia,Donghan M. Yang,Yang Xie,Xiaowei Zhan,Guanghua Xiao	13
5	Deep learning‐based pathology image analysis predicts cancer progression risk in patients with oral leukoplakia 2023 ·Cancer Medicine ·Xinyi Zhang,Frederico O. Gleber‐Netto,Shidan Wang,(unknown),Ricardo Santiago Gomez,Nadarajah Vigneswaran,(unknown),William N. William,Vassiliki A. Papadimitrakopoulou,Michelle D. Williams,Diana Bell,Doreen N. Palsgrove,Justin A. Bishop,John V. Heymach,Ann M. Gillenwater,Jeffrey N. Myers,Renata Ferrarotto,Scott M. Lippman,Curtis R. Pickering,Guanghua Xiao	19
6	Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology Images 2023 ·Genes ·Zhuoyu Wen,Yu-Hsuan Lin,Shidan Wang,Naoto Fujiwara,Ruichen Rong,(unknown),Donghan M. Yang,Bo Yao,Song Yang,Tao Wang,Yang Xie,Yujin Hoshida,Hao Zhu,Guanghua Xiao	4
7	Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images 2023 ·Nature Communications ·Shidan Wang,Ruichen Rong,(unknown),Donghan M. Yang,Xinyi Zhang,Xiaowei Zhan,Justin A. Bishop,Zhikai Chi,Clare Wilhelm,Siyuan Zhang,Curtis R. Pickering,Mark G. Kris,John D. Minna,Yang Xie,Guanghua Xiao	20
8	A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization 2023 ·Modern Pathology ·Ruichen Rong,(unknown),(unknown),(unknown),Danni Luo,Zhuoyu Wen,(unknown),Donghan M. Yang,Liwei Jia,Mohamed Amgad,Lee Cooper,Yang Xie,Xiaowei Zhan,Shidan Wang,Guanghua Xiao	33
9	A Deep Learning Onion Peeling Approach to Measure Oral Epithelium Layer Number 2023 ·Cancers ·Xinyi Zhang,Frederico O. Gleber‐Netto,Shidan Wang,(unknown),Donghan M. Yang,Ann M. Gillenwater,Jeffrey N. Myers,Renata Ferrarotto,Curtis R. Pickering,Guanghua Xiao	3
10	Depression prediction based on LassoNet-RNN model: A longitudinal study 2023 ·Heliyon ·(unknown),(unknown),Han Lin,(unknown),Shidan Wang,Juan Tu,Jing Lu	10
11	Deep Learning of Rhabdomyosarcoma Pathology Images for Classification and Survival Outcome Prediction 2022 ·American Journal Of Pathology ·Xinyi Zhang,Shidan Wang,Erin R. Rudzinski,(unknown),Ruichen Rong,Donald A. Barkauskas,Ovidiu Daescu,(unknown),Rajkumar Venkatramani,Yang Xie,Guanghua Xiao,Patrick J. Leavey	20
12	Sprod for de-noising spatially resolved transcriptomics data based on position and image information 2022 ·Nature Methods ·Yunguan Wang,Bing Song,Shidan Wang,Mingyi Chen,Yang Xie,Guanghua Xiao,Li Wang,Tao Wang	35
13	Recent advances in understanding the roles of sialyltransferases in tumor angiogenesis and metastasis 2021 ·Glycoconjugate Journal ·Chunyan Xu,Shidan Wang,(unknown),Xiaoxin Sun,(unknown),Shujing Wang	15
14	Tumor neoantigenicity assessment with CSiN score incorporates clonality and immunogenicity to predict immunotherapy outcomes 2020 ·Science Immunology ·Tianshi Lu,Shidan Wang,Lin Xu,Qinbo Zhou,Nirmish Singla,Jianjun Gao,(unknown),Laurentiu M. Pop,Zhiqun Xie,Mingyi Chen,Jason J. Luke,James Brugarolas,Raquibul Hannan,Tao Wang	30
15	Mice With Increased Numbers of Polyploid Hepatocytes Maintain Regenerative Capacity But Develop Fewer Hepatocellular Carcinomas Following Chronic Liver Injury 2020 ·Gastroenterology ·Yu-Hsuan Lin,Shuyuan Zhang,Min Zhu,Tianshi Lu,Kenian Chen,Zhuoyu Wen,Shidan Wang,Guanghua Xiao,Danni Luo,Yuemeng Jia,Lin Li,Malcolm MacConmara,Yujin Hoshida,Amit G. Singal,Adam C. Yopp,Tao Wang,Hao Zhu	64
16	Pathology Image Analysis Using Segmentation Deep Learning Algorithms 2019 ·American Journal Of Pathology ·Shidan Wang,Donghan M. Yang,Ruichen Rong,Xiaowei Zhan,Guanghua Xiao	244
17	ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network 2019 ·EBioMedicine ·Shidan Wang,Tao Wang,Lin Yang,Donghan M. Yang,Junya Fujimoto,Faliu Yi,Xin Luo,Yikun Yang,Bo Yao,Shin-Yi Lin,César A. Moran,Neda Kalhor,Annikka Weissferdt,John D. Minna,Yang Xie,Ignacio I. Wistuba,Yousheng Mao,Guanghua Xiao	72
18	Validation of the 12-gene Predictive Signature for Adjuvant Chemotherapy Response in Lung Cancer 2018 ·Clinical Cancer Research ·Yang Xie,Wei Lü,Shidan Wang,Ximing Tang,Hao Tang,Yunyun Zhou,César A. Moran,Carmen Behrens,Jack A. Roth,Qinghua Zhou,David H. Johnson,Stephen G. Swisher,John V. Heymach,Vassiliki A. Papadimitrakopoulou,Guanghua Xiao,John D. Minna,Ignacio I. Wistuba	13
19	Main bronchus location is a predictor for metastasis and prognosis in lung adenocarcinoma: A large cohort analysis 2018 ·Lung Cancer ·Lin Yang,Shidan Wang,David E. Gerber,Yunyun Zhou,Feng Xu,Jiewei Liu,Liang Hao,Guanghua Xiao,Qinghua Zhou,Adi F. Gazdar,Yang Xie	18
20	Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks 2018 ·BMC Bioinformatics ·Faliu Yi,Lin Yang,Shidan Wang,Lei Guo,Chenglong Huang,Yang Xie,Guanghua Xiao	38

About Shidan Wang

Shidan Wang is a scholar working on Biophysics, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Lung Cancer Diagnosis and Treatment (9 papers). The work is most often cited by research in Health Informatics (103 citations), Radiology, Nuclear Medicine and Imaging (550 citations) and Biophysics (101 citations). Shidan Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Guanghua Xiao, Yang Xie, Donghan M. Yang, Xiaowei Zhan, Ruichen Rong, Lin Yang, Guanghua Xiao, Junya Fujimoto, David E. Gerber and John D. Minna. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Gastroenterology.

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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