Zhenwei Shi

2.4k total citations · 3 hit papers
66 papers, 1.5k citations indexed

About

Zhenwei Shi is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Zhenwei Shi has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Artificial Intelligence and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Zhenwei Shi's work include Radiomics and Machine Learning in Medical Imaging (42 papers), AI in cancer detection (18 papers) and Lung Cancer Diagnosis and Treatment (10 papers). Zhenwei Shi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (42 papers), AI in cancer detection (18 papers) and Lung Cancer Diagnosis and Treatment (10 papers). Zhenwei Shi collaborates with scholars based in China, Netherlands and United States. Zhenwei Shi's co-authors include Leonard Wee, André Dekker, Zaiyi Liu, Chu Han, Yanfen Cui, Zeyan Xu, Alberto Traverso, Xipeng Pan, Tal V. Murthy and Joshua LaBaer and has published in prestigious journals such as PLoS ONE, Radiology and Genome Research.

In The Last Decade

Zhenwei Shi

58 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.

MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer

2023 112 citations Zhenwei Shi, Xiaomei Huang et al. profile →
A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study

2022 108 citations Yanfen Cui, Zhenhui Li et al. EClinicalMedicine profile →
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation

2023 103 citations Jiatai Lin, Hao Chen et al. IEEE Transactions on Medical Imaging profile →

Peers

Countries citing papers authored by Zhenwei Shi

Since Specialization

Citations

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

Fields of papers citing papers by Zhenwei Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenwei Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenwei Shi. A scholar is included among the top collaborators of Zhenwei Shi 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 Zhenwei Shi. Zhenwei Shi 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	Rethinking mitosis detection: Towards diverse data and feature representation for better domain generalization 2025 ·Artificial Intelligence in Medicine ·Jiatai Lin, Hao Wang, Danyi Li, Jing Wang, Bingchao Zhao, Zhenwei Shi, Changhong Liang, Guoqiang Han, Liang Li, Zaiyi Liu, Chu Han	0
2	Synergistic nano-vaccine strategy for comprehensive activation of adaptive and innate immunity against Staphylococcus aureus infection 2025 ·Frontiers in Immunology ·(unknown), (unknown), Zhenwei Shi, Zhuo Wan, (unknown), Nan Sun, (unknown), (unknown), (unknown), (unknown), Qian Yang, Huifang Nie, Chaojun Song, (unknown)	0
3	Federated cross-source learning for lung nodule segmentation with data characteristic-aware weight optimization 2025 ·Pattern Recognition ·(unknown), Huan Lin, Yumeng Wang, Lingqiao Li, Zhenbing Liu, Huadeng Wang, Zhenwei Shi, Yi Qian, (unknown), Rushi Lan, Xipeng Pan	0
4	Data-efficient federated semi-supervised learning framework via pseudo supervision refinement strategy for lung tumor segmentation 2025 ·Biomedical Signal Processing and Control ·Weixing Li, (unknown), Zhen Zhang, Guangyao Wu, (unknown), Leonard Wee, André Dekker, Chu Han, (unknown), Zaiyi Liu, Zhenbing Liu, Zhenwei Shi	0
5	Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation 2025 ·Expert Systems with Applications ·Zhenbing Liu, (unknown), Yanfen Cui, (unknown), Xipeng Pan, (unknown), (unknown), (unknown), (unknown), Leonard Wee, André Dekker, Chu Han, Zaiyi Liu, Zhenwei Shi	1
6	AI-driven MRI biomarker for triple-class HER2 expression classification in breast cancer: a large-scale multicenter study 2025 ·Breast Cancer Research ·(unknown), Qi Yang, (unknown), (unknown), Yi Dai, Zeyan Xu, Xiaobo Chen, Siyao Du, Chu Han, (unknown), Lína Zhang, Zaiyi Liu, Ying Wang, Zhenwei Shi	0
7	AI-derived longitudinal and multi-dimensional CT classifier for non-small cell lung cancer to optimize neoadjuvant chemoimmunotherapy decision: a multicentre retrospective study 2025 ·EClinicalMedicine ·(unknown), Zhitao Wei, Han Chu, (unknown), (unknown), (unknown), (unknown), Zhou Wang, Jianbo Gao, (unknown), Yongde Liao, Lizza Hendriks, Leonard Wee, Dirk De Ruysscher, (unknown), Haiyu Zhou, Qi Yu, Zaiyi Liu, Zhenwei Shi	1
8	Multimodal prediction based on ultrasound for response to neoadjuvant chemotherapy in triple negative breast cancer 2025 ·npj Precision Oncology ·(unknown), Seong Yoon Yi, Chunyan Li, Yu Xie, Yu Liu, Zeyan Xu, (unknown), Huan Lin, (unknown), (unknown), (unknown), Zaiyi Liu, Shufang Pei, Biao Huang, Zhenwei Shi	0
9	Antigen-Dependent Adjuvanticity of Poly(lactic-co-glycolic acid)-polyethylene Glycol 25% Nanoparticles for Enhanced Vaccine Efficacy 2025 ·Vaccines ·(unknown), (unknown), Zhenwei Shi, (unknown), (unknown), (unknown), Qian Yang, Chaojun Song, Li Fan	2
10	FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification 2024 ·IEEE Transactions on Cybernetics ·(unknown), Yanqi Huang, Guoqiang Han, Zhenwei Shi, Jiatai Lin, Qi Dou, Zaiyi Liu, Xiaojing Guo, C. L. Philip Chen, Chu Han	6
11	FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy 2024 ·Computer Methods and Programs in Biomedicine ·Dan Wang, Chu Han, Zhen Zhang, Tian‐Tian Zhai, Huan Lin, Baoyao Yang, Yanfen Cui, (unknown), (unknown), Lujun Zhao, (unknown), An Zeng, Dan Pan, Xin Chen, Zhenwei Shi, Zaiyi Liu	8
12	Inhibition of excessive autophagy alleviates renal injury and inflammation in a rat model of immunoglobulin A nephropathy 2023 ·European Journal of Pharmacology ·Mei‐Ying Chang, Xiujie Shi, (unknown), Mingming Zhao, (unknown), (unknown), (unknown), Ziyan Zhang, Zhenwei Shi, Bin Yang, Yu Zhang	7
13	Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study 2023 ·Computer Methods and Programs in Biomedicine ·(unknown), Huan Lin, Zaiyi Liu, Li‐Xu Yan, Yumeng Wang, Bingbing Li, Entao Liu, Chu Han, Zhenwei Shi, Cheng Lu, Zhenbing Liu, Cheng Pang, Zhenhui Li, Yanfen Cui, Xipeng Pan, Xin Chen	4
14	PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning 2022 ·IEEE Transactions on Medical Imaging ·Jiatai Lin, Guoqiang Han, Xipeng Pan, Zaiyi Liu, Hao Chen, Danyi Li, (unknown), Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Liang Li, Ying Wang, Chu Han	39
15	An MRI-based Scoring System for Preoperative Prediction of Axillary Response to Neoadjuvant Chemotherapy in Node-Positive Breast Cancer: A Multicenter Retrospective Study 2022 ·Academic Radiology ·Xiaomei Huang, Zhenwei Shi, (unknown), Chunling Liu, Chen Liu, Shuting Chen, Hong Lu, (unknown), Bo He, Jun Li, (unknown), Han Chu, Xin Chen, (unknown), Zaiyi Liu	6
16	Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels 2022 ·Medical Image Analysis ·Chu Han, Jiatai Lin, (unknown), Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Zeyan Xu, Su Yao, Li‐Xu Yan, Huan Lin, Xiaomei Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu	68
17	Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer 2021 ·Precision Clinical Medicine ·Zeyan Xu, Ke Zhao, Lujun Han, (unknown), Zhenwei Shi, Xiaomei Huang, Chu Han, Huihui Wang, Minglei Chen, Chen Liu, (unknown), Suyun Li, Yanqi Huang, Xin Chen, Changhong Liang, Wuteng Cao, Zaiyi Liu	1
18	A deep learning quantified stroma-immune score to predict survival of patients with stage II–III colorectal cancer 2021 ·Cancer Cell International ·Zeyan Xu, Yong Li, Yingyi Wang, Shenyan Zhang, Yanqi Huang, Su Yao, Chu Han, Xipeng Pan, Zhenwei Shi, Yun Mao, Yao Xu, Xiaomei Huang, Huan Lin, Xin Chen, Changhong Liang, Zhenhui Li, Ke Zhao, Qingling Zhang, Zaiyi Liu	24
19	External validation of nodal failure prediction models including radiomics in head and neck cancer 2020 ·Oral Oncology ·Tian‐Tian Zhai, Frederik Wesseling, Johannes A. Langendijk, Zhenwei Shi, Petros Kalendralis, Lisanne V. van Dijk, Frank Hoebers, Roel J.H.M. Steenbakkers, André Dekker, Leonard Wee, Nanna M. Sijtsema	20
20	Multicenter CT phantoms public dataset for radiomics reproducibility tests 2019 ·Medical Physics ·Petros Kalendralis, Alberto Traverso, Zhenwei Shi, Ivan Zhovannik, René Monshouwer, Martijn P. A. Starmans, Stefan Klein, Elisabeth Pfaehler, Ronald Boellaard, André Dekker, Leonard Wee	26

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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