Jincao Yao

878 total citations
68 papers, 424 citations indexed

About

Jincao Yao is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Artificial Intelligence. According to data from OpenAlex, Jincao Yao has authored 68 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Endocrinology, Diabetes and Metabolism and 23 papers in Artificial Intelligence. Recurrent topics in Jincao Yao's work include Radiomics and Machine Learning in Medical Imaging (31 papers), Thyroid Cancer Diagnosis and Treatment (29 papers) and AI in cancer detection (21 papers). Jincao Yao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (31 papers), Thyroid Cancer Diagnosis and Treatment (29 papers) and AI in cancer detection (21 papers). Jincao Yao collaborates with scholars based in China, United States and Canada. Jincao Yao's co-authors include Dong Xu, Lijing Wang, Di Ou, Xiaofeng Yang, Xiuxiu He, Yang Lei, Walter J. Curran, Tonghe Wang, Tian Liu and Na Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and TrAC Trends in Analytical Chemistry.

In The Last Decade

Jincao Yao

59 papers receiving 417 citations

Peers

Countries citing papers authored by Jincao Yao

Since Specialization

Citations

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

Fields of papers citing papers by Jincao Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jincao Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Jincao Yao. A scholar is included among the top collaborators of Jincao Yao 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 Jincao Yao. Jincao Yao 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	Diagnostic value of deep learning of multimodal imaging of thyroid for TI-RADS category 3–5 classification 2025 ·Endocrine ·(unknown), (unknown), (unknown), (unknown), Jincao Yao, (unknown), Chen Chen, Jun Lin, Dong Xu	0
2	Enhanced 3D tumor synthesis and segmentation framework using multiscale diffusion and hybrid SAM-Swin models across diverse anatomical datasets 2025 ·Neurocomputing ·Jincao Yao, (unknown), (unknown), (unknown), Jing Wang, Xiangyu Zou, Haoji Hu, (unknown), Weizeng Zheng, (unknown), Dong Xu	0
3	Synthesize contrast-enhanced ultrasound image of thyroid nodules via generative adversarial networks 2025 ·European Radiology ·(unknown), Jincao Yao, (unknown), Lingyan Zhou, Tian Jiang, (unknown), (unknown), Xinying Zhu, J. Huang, Yifan Wang, (unknown), Dong Xu	0
4	Age-stratified deep learning model for thyroid tumor classification: a multicenter diagnostic study 2025 ·European Radiology ·(unknown), (unknown), Jincao Yao, (unknown), Dongsheng Xiong, Chen Chen, (unknown), (unknown), Lingyan Zhou, (unknown), Li‐Yu Chen, Ping Liang, Dong Xu	1
5	Machine learning‐based model constructed from ultrasound radiomics and clinical features for predicting HER2 status in breast cancer patients with indeterminate (2+) immunohistochemical results 2024 ·Cancer Medicine ·(unknown), Jincao Yao, Xiao Zhang, Dong Xu, Chen Yang	4
6	Deep learning based analysis of dynamic video ultrasonography for predicting cervical lymph node metastasis in papillary thyroid carcinoma 2024 ·Endocrine ·(unknown), (unknown), Jincao Yao, Ni Chen, Sohaib Asif, Chen Chen, (unknown), Di Ou, Dong Xu	3
7	Deep learning-assisted distinguishing breast phyllodes tumours from fibroadenomas based on ultrasound images: a diagnostic study 2024 ·British Journal of Radiology ·(unknown), (unknown), Jincao Yao, (unknown), Chen Chen, (unknown), (unknown), Yifan Wang, Di Ou, (unknown), Hui Wang, (unknown), (unknown), (unknown), Yukai Wang, Liping Wang, Lingyan Zhou, Dong Xu	0
8	Comparison of machine learning models based on multi-parametric magnetic resonance imaging and ultrasound videos for the prediction of prostate cancer 2023 ·Frontiers in Oncology ·Xiaoyang Qi, Kai Wang, (unknown), (unknown), Jie Yang, (unknown), (unknown), (unknown), Liyuan Jin, Lingyan Zhou, Zhengping Wang, Jincao Yao	6
9	Ultrasound and clinicopathological characteristics-based model for prediction of pathologic response to neoadjuvant chemotherapy in HER2-positive breast cancer: a case–control study 2023 ·Breast Cancer Research and Treatment ·(unknown), (unknown), (unknown), Di Ou, Chen Chen, (unknown), Ni Chen, (unknown), Liping Wang, Chen Yang, Wei Li, Jincao Yao, Dong Xu	6
10	Factors influencing extrathyroidal extension of papillary thyroid cancer and evaluation of ultrasonography for its diagnosis: a retrospective analysis 2023 ·Scientific Reports ·(unknown), (unknown), Jincao Yao, Xiuhua Yu, Dong Xu	4
11	Deep learning approaches for differentiating thyroid nodules with calcification: a two-center study 2023 ·BMC Cancer ·Chen Chen, (unknown), Jincao Yao, Kai Wang, (unknown), (unknown), (unknown), Lu Gao, (unknown), (unknown), Hui Wang, (unknown), Xiaoqing Qi, Yifan Wang, Dong Xu	8
12	A new xAI framework with feature explainability for tumors decision-making in Ultrasound data: comparing with Grad-CAM 2023 ·Computer Methods and Programs in Biomedicine ·(unknown), Jincao Yao, (unknown), (unknown), Chen Cui, Liping Wang, Lijing Wang, Huaiyu Wu, (unknown), (unknown), Di Ou, Wei Li, Na Feng, Weiyun Pan, Mei Song, Jinfeng Xu, Dong Xu, (unknown), Fajin Dong	33
13	Deep learning to assist composition classification and thyroid solid nodule diagnosis: a multicenter diagnostic study 2023 ·European Radiology ·Chen Chen, (unknown), Jincao Yao, (unknown), (unknown), (unknown), Di Ou, (unknown), Lingyan Zhou, Jinfeng Xu, (unknown), Yuli Zhou, Wenwen Yue, Fajin Dong, Dong Xu	11
14	Leveraging deep learning to identify calcification and colloid in thyroid nodules 2023 ·Heliyon ·Chen Chen, (unknown), Jincao Yao, (unknown), (unknown), (unknown), (unknown), Hui Wang, (unknown), Yifan Wang, Dong Xu	4
15	AI diagnosis of Bethesda category IV thyroid nodules 2023 ·iScience ·Jincao Yao, Yanming Zhang, Jiafei Shen, (unknown), Jing Xiong, (unknown), Xiaoxian Li, Wei Li, Di Ou, (unknown), Na Feng, Meiying Yan, (unknown), Liyu Chen, Yang Chen, Liping Wang, Kai Wang, (unknown), Ping Liang, Dong Xu	9
16	Value of Artificial Intelligence in Improving the Accuracy of Diagnosing TI-RADS Category 4 Nodules 2023 ·Ultrasound in Medicine & Biology ·(unknown), (unknown), Jincao Yao, Yifan Wang, (unknown), Yuhang Chen, Chen Chen, Na Feng, (unknown), (unknown), Lu Gao, Dong Xu	4
17	Multimodal Sonographic Appearance and Survival Outcomes of 69 Cases of Primary Thyroid Lymphoma Over 10 Years 2022 ·Journal of Ultrasound in Medicine ·(unknown), (unknown), Jincao Yao, (unknown), Junzhou Wu, (unknown), Dong Xu	2
18	Clinical Value of Ultrasonography and Serum Markers in Preoperative N Staging of Thyroid Cancer 2022 ·Cells ·(unknown), (unknown), Chunyang Xu, Jincao Yao, (unknown), Dong Xu	3
19	Combined Conventional Ultrasound and Contrast‐Enhanced Computed Tomography for Cervical Lymph Node Metastasis Prediction in Papillary Thyroid Carcinoma 2022 ·Journal of Ultrasound in Medicine ·(unknown), Wenwen Yue, Hui Wang, Jincao Yao, (unknown), (unknown), Dong Xu	4
20	The value of ultrasound grayscale ratio in the diagnosis of papillary thyroid microcarcinomas and benign micronodules in patients with Hashimoto’s thyroiditis: A two-center controlled study 2022 ·Frontiers in Endocrinology ·Na Feng, (unknown), (unknown), Jingjing Xu, Jincao Yao, Cheng Fang, Di Ou, Liping Wang, Dong Xu, (unknown)	2

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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