Xuehai Ding

447 total citations
24 papers, 270 citations indexed

About

Xuehai Ding is a scholar working on Artificial Intelligence, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xuehai Ding has authored 24 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Surgery and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xuehai Ding's work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Thyroid Cancer Diagnosis and Treatment (5 papers). Xuehai Ding is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Thyroid Cancer Diagnosis and Treatment (5 papers). Xuehai Ding collaborates with scholars based in China and United States. Xuehai Ding's co-authors include Chengfan Li, Junjuan Zhao, Tian Sang, Matthew Lee, Quan‐Yong Luo, Chen‐Tian Shen, Zhang Wu, Guoliang Xu, Ren Wang and Gang Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Xuehai Ding

20 papers receiving 263 citations

Peers

Xuehai Ding

CVPR

NEURO

RNMI

Alexandr A. Kalinin United States

Xingyu Fan China

Chiun-Li Chin Taiwan

April Khademi Canada

Ryan Cunningham United Kingdom

Sören Richard Stahlschmidt Sweden

Yeşim Eroğlu Türkiye

Monique Meuschke Germany

Chandradeep Bhatt India

Jacek Kawa Poland

Alexandr A. Kalinin United States

Xuehai Ding

98 ×1.1

74 ×1.4

CVPR

69 ×1.3

NEURO

13 ×0.3

93 ×2.1

RNMI

Citations per year, relative to Xuehai Ding Xuehai Ding (= 1×) peers Alexandr A. Kalinin

Countries citing papers authored by Xuehai Ding

Since Specialization

Citations

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

Fields of papers citing papers by Xuehai Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuehai Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Xuehai Ding. A scholar is included among the top collaborators of Xuehai Ding 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 Xuehai Ding. Xuehai Ding 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

Miao, Yang, Chengfan Li, Xiaoyi Chen, et al.. (2025). Development and evaluation of a 3D ensemble framework for automatic diagnosis of early osteonecrosis of the femoral head based on MRI: a multicenter diagnostic study. Frontiers in Surgery. 12. 1555749–1555749. 1 indexed citations

Zhang, Liwen, et al.. (2025). Ropivacaine mitigates neuropathic pain by inhibiting the activation of the TRAF2/PI3K/Akt/NF-κB signaling pathway. Scientific Reports. 15(1). 33283–33283.

Sang, Tian, Xianzhao Deng, Bomin Guo, et al.. (2024). An automatic parathyroid recognition and segmentation model based on deep learning of near‐infrared autofluorescence imaging. Cancer Medicine. 13(4). e7065–e7065. 3 indexed citations

Li, Chengfan, et al.. (2024). 3DFRINet: A Framework for the Detection and Diagnosis of Fracture Related Infection in Low Extremities Based on 18F-FDG PET/CT 3D Images. Computerized Medical Imaging and Graphics. 115. 102394–102394. 1 indexed citations

Ding, Xuehai, et al.. (2024). TSE-GAN: strain elastography using generative adversarial network for thyroid disease diagnosis. Frontiers in Bioengineering and Biotechnology. 12. 1330713–1330713.

Sang, Tian, et al.. (2024). A novel deep learning method to segment parathyroid glands on intraoperative videos of thyroid surgery. Frontiers in Surgery. 11. 1370017–1370017. 2 indexed citations

Li, Chengfan, et al.. (2024). RS-YOLOv5: an improved YOLOv5 method for locating small road targets – crosswalk and intersection in remote sensing images. Journal of Applied Remote Sensing. 18(3).

Wang, Ren, Yang Wang, Liying Hou, et al.. (2023). AI‐BRAF^V600E: A deep convolutional neural network for BRAF^V600E mutation status prediction of thyroid nodules using ultrasound images. SHILAP Revista de lepidopterología. 4(2). 5 indexed citations

Sun, Zhen‐Kui, et al.. (2023). An artificial intelligence framework for the diagnosis of prosthetic joint infection based on 99mTc-MDP dynamic bone scintigraphy. European Radiology. 33(10). 6794–6803. 7 indexed citations

10.

Ding, Xuehai, Yanting Liu, Junjuan Zhao, et al.. (2023). A novel wavelet-transform-based convolution classification network for cervical lymph node metastasis of papillary thyroid carcinoma in ultrasound images. Computerized Medical Imaging and Graphics. 109. 102298–102298. 11 indexed citations

11.

Wang, Yang, Liying Hou, Chengfan Li, et al.. (2023). Predicting 18F-FDG SUVs of metastatic pulmonary nodes from CT images in patients with differentiated thyroid cancer by using a convolutional neural network. Frontiers in Endocrinology. 14. 1127741–1127741.

12.

Liu, Yanting, et al.. (2022). Automated classification of cervical lymph-node-level from ultrasound using Depthwise Separable Convolutional Swin Transformer. Computers in Biology and Medicine. 148. 105821–105821. 11 indexed citations

13.

Li, Chengfan, et al.. (2022). A Novel Model of Thyroid Nodule Segmentation for Ultrasound Images. Ultrasound in Medicine & Biology. 49(2). 489–496. 18 indexed citations

14.

Zhang, Qingjie, Junjuan Zhao, Quan‐Yong Luo, et al.. (2022). AUE-Net: Automated Generation of Ultrasound Elastography Using Generative Adversarial Network. Diagnostics. 12(2). 253–253. 10 indexed citations

15.

Ding, Xuehai, et al.. (2020). Similar Face Recognition Using the IE-CNN Model. IEEE Access. 8. 45244–45253. 13 indexed citations

16.

Jiang, Feng, et al.. (2020). DLU-Net for Pancreatic Cancer Segmentation. 1024–1028. 8 indexed citations

17.

Li, Qing, et al.. (2020). A Novel Coarse-to-Fine Segmentation Method for Pancreatic Cancer. 176–181. 2 indexed citations

18.

Ding, Xuehai, et al.. (2019). A Novel Neural Network-Based Method for Medical Text Classification. Future Internet. 11(12). 255–255. 35 indexed citations

19.

Xu, Guoliang, et al.. (2017). Assessment for facial nerve paralysis based on facial asymmetry. Australasian Physical & Engineering Sciences in Medicine. 40(4). 851–860. 28 indexed citations

20.

Ding, Xuehai, et al.. (2016). Multi-objective association rule mining with binary bat algorithm. Intelligent Data Analysis. 20(1). 105–128. 23 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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