Weiya Shi

1.1k total citations
11 papers, 344 citations indexed

About

Weiya Shi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Weiya Shi has authored 11 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 2 papers in Surgery. Recurrent topics in Weiya Shi's work include Radiomics and Machine Learning in Medical Imaging (9 papers), COVID-19 diagnosis using AI (9 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Weiya Shi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), COVID-19 diagnosis using AI (9 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Weiya Shi collaborates with scholars based in China, South Korea and United Kingdom. Weiya Shi's co-authors include Fei Shan, Yuxin Shi, Yaozong Gao, Jun Wang, Miaofei Han, Dinggang Shen, Zhong Xue, Nannan Shi, Xueqing Peng and Tao Chen and has published in prestigious journals such as Medical Physics, Neurocomputing and Frontiers in Oncology.

In The Last Decade

Weiya Shi

11 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weiya Shi China	8	298	131	96	50	44	11	344
Liusu Wang China	5	309 1.0×	155 1.2×	68 0.7×	62 1.2×	83 1.9×	7	395
Nishanth Arun United States	4	209 0.7×	125 1.0×	51 0.5×	28 0.6×	79 1.8×	7	300
Emi Yamaga Japan	9	225 0.8×	152 1.2×	46 0.5×	27 0.5×	25 0.6×	28	311
Youmin Guo China	11	524 1.8×	80 0.6×	73 0.8×	69 1.4×	41 0.9×	33	600
Zhenchao Tang China	5	300 1.0×	116 0.9×	78 0.8×	42 0.8×	42 1.0×	14	398
Shravya Shetty United States	7	167 0.6×	69 0.5×	66 0.7×	24 0.5×	75 1.7×	15	276
Michail Mamalakis United Kingdom	9	157 0.5×	70 0.5×	32 0.3×	55 1.1×	37 0.8×	19	245
Zimeng Tan China	3	292 1.0×	148 1.1×	32 0.3×	58 1.2×	102 2.3×	6	357
Karthik V. Sarma United States	9	186 0.6×	242 1.8×	93 1.0×	29 0.6×	41 0.9×	18	446
Jaehong Aum South Korea	6	441 1.5×	113 0.9×	193 2.0×	49 1.0×	90 2.0×	10	598

Countries citing papers authored by Weiya Shi

Since Specialization

Citations

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

Fields of papers citing papers by Weiya Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiya Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Weiya Shi. A scholar is included among the top collaborators of Weiya 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 Weiya Shi. Weiya 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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11 of 11 papers shown

Shi, Weiya, Shaoping Hu, Tiefu Liu, et al.. (2021). Differential Diagnosis of COVID-19 Pneumonia From Influenza A (H1N1) Pneumonia Using a Model Based on Clinicoradiologic Features. Frontiers in Medicine. 8. 651556–651556. 5 indexed citations

Shi, Lili, Weiya Shi, Xueqing Peng, et al.. (2021). Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma In Situ and Minimally Invasive Adenocarcinoma Presenting as Ground-Glass Nodules Measuring 5-10mm in Diameter. Frontiers in Oncology. 11. 618677–618677. 15 indexed citations

Shi, Weiya, Xueqing Peng, Tiefu Liu, et al.. (2021). A deep learning-based quantitative computed tomography model for predicting the severity of COVID-19: a retrospective study of 196 patients. Annals of Translational Medicine. 9(3). 216–216. 42 indexed citations

Wang, Yunpeng, Kang Wang, Xueqing Peng, et al.. (2021). DeepSDM: Boundary-aware pneumothorax segmentation in chest X-ray images. Neurocomputing. 454. 201–211. 14 indexed citations

Xu, Jilan, et al.. (2021). CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis. 454–461. 6 indexed citations

Zhao, Rui-Wei, et al.. (2021). Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification. 205–209. 1 indexed citations

Qian, Xuelin, Huazhu Fu, Weiya Shi, et al.. (2020). M$^3$Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging. IEEE Journal of Biomedical and Health Informatics. 24(12). 3539–3550. 50 indexed citations

Shan, Fei, Yaozong Gao, Jun Wang, et al.. (2020). Abnormal lung quantification in chest CT images of COVID‐19 patients with deep learning and its application to severity prediction. Medical Physics. 48(4). 1633–1645. 136 indexed citations

Shi, Weiya, Xueqing Peng, Tiefu Liu, et al.. (2020). Deep Learning-Based Quantitative Computed Tomography Model in Predicting the Severity of COVID-19: A Retrospective Study in 196 Patients. SSRN Electronic Journal. 26 indexed citations

10.

Shi, Weiya, Lingxiao Zhou, Xueqing Peng, et al.. (2019). HIV-infected patients with opportunistic pulmonary infections misdiagnosed as lung cancers: the clinicoradiologic features and initial application of CT radiomics. Journal of Thoracic Disease. 11(6). 2274–2286. 20 indexed citations

11.

Ren, He, Lingxiao Zhou, Xueqing Peng, et al.. (2019). An unsupervised semi-automated pulmonary nodule segmentation method based on enhanced region growing. Quantitative Imaging in Medicine and Surgery. 10(1). 233–242. 29 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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