Yijie Dong

1.3k total citations
52 papers, 734 citations indexed

About

Yijie Dong is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Yijie Dong has authored 52 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Endocrinology, Diabetes and Metabolism and 17 papers in Surgery. Recurrent topics in Yijie Dong's work include Thyroid Cancer Diagnosis and Treatment (19 papers), Ultrasound Imaging and Elastography (13 papers) and Head and Neck Anomalies (12 papers). Yijie Dong is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (19 papers), Ultrasound Imaging and Elastography (13 papers) and Head and Neck Anomalies (12 papers). Yijie Dong collaborates with scholars based in China, United Kingdom and United States. Yijie Dong's co-authors include Weiwei Zhan, Jianqiao Zhou, Chun Zhou, Zhifang Yang, Cai Chang, Jianqiao Zhou, Yi Jia, Edward G. Grant, Shujun Xia and Xiaohong Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and Free Radical Biology and Medicine.

In The Last Decade

Yijie Dong

50 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yijie Dong China 16 447 240 180 142 110 52 734
Jianqiao Zhou China 12 356 0.8× 100 0.4× 257 1.4× 148 1.0× 109 1.0× 39 594
Ga Ram Kim South Korea 14 318 0.7× 137 0.6× 125 0.7× 111 0.8× 123 1.1× 41 670
Arnoud W. Postema Netherlands 16 425 1.0× 318 1.3× 60 0.3× 51 0.4× 79 0.7× 51 847
Nimmi Arora United States 12 234 0.5× 51 0.2× 423 2.4× 42 0.3× 270 2.5× 14 846
Ge-Ge Wu China 9 479 1.1× 100 0.4× 69 0.4× 318 2.2× 69 0.6× 10 710
Yinhui Deng China 10 174 0.4× 75 0.3× 126 0.7× 44 0.3× 57 0.5× 19 457
Guilherme Moura Cunha United States 18 306 0.7× 81 0.3× 98 0.5× 74 0.5× 107 1.0× 50 935
Cheng Zhao China 11 135 0.3× 31 0.1× 161 0.9× 73 0.5× 98 0.9× 36 421
Chenyang Liu China 13 194 0.4× 60 0.3× 31 0.2× 40 0.3× 32 0.3× 44 434
Rashmi Mukherjee India 15 69 0.2× 58 0.2× 87 0.5× 67 0.5× 20 0.2× 24 641

Countries citing papers authored by Yijie Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yijie Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yijie Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yijie Dong. A scholar is included among the top collaborators of Yijie Dong 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 Yijie Dong. Yijie Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Zhang, Jingwen, Minghui Zhang, Shangyan Xu, et al.. (2025). Model for Predicting Central Lymph Node Metastasis in Papillary Thyroid Carcinoma: A Study Based on Ultrasound Viscosity Imaging. Ultrasound in Medicine & Biology. 51(11). 2032–2038.
3.
Chen, Dehua, et al.. (2024). Generating lymphoma ultrasound image description with transformer model. Computers in Biology and Medicine. 174. 108409–108409. 2 indexed citations
4.
Guo, Chang Ming, Yingping Liu, Yao Wang, et al.. (2024). Comparison of antigen-specific B cell responses reveals disparity in immunogenicity and memory B cell formation across COVID-19 vaccine platforms. SHILAP Revista de lepidopterología. 2(12). 625–640. 5 indexed citations
5.
Wei, Minyan, Yu Qin, Jiale Xu, et al.. (2024). Harnessing Large Language Models for Structured Reporting in Breast Ultrasound: A Comparative Study of Open AI (GPT-4.0) and Microsoft Bing (GPT-4). Ultrasound in Medicine & Biology. 50(11). 1697–1703. 6 indexed citations
6.
Xia, Shujun, Yixuan Yang, Jiale Xu, et al.. (2024). Transforming free-text radiology reports into structured reports using ChatGPT: A study on thyroid ultrasonography. European Journal of Radiology. 175. 111458–111458. 19 indexed citations
7.
Wang, Mei, et al.. (2023). An End-to-End Multi-stage Network for Ultrasound Video Object Segmentation. Huddersfield Research Portal (University of Huddersfield). 94. 3574–3581. 1 indexed citations
8.
Dong, Yijie, Weiwei Zhan, Jianqiao Zhou, et al.. (2023). Volume reduction rate of radiofrequency ablation in ≤ 2 cm Bethesda IV thyroid nodules. European Radiology. 34(3). 1597–1604. 8 indexed citations
9.
Liu, Zhenhua, Ronghui Wang, Jianqiao Zhou, et al.. (2021). Ultrasound lymphatic imaging for the diagnosis of metastatic central lymph nodes in papillary thyroid cancer. European Radiology. 31(11). 8458–8467. 21 indexed citations
10.
Jia, Wanru, Ting Luo, Yijie Dong, et al.. (2020). Breast Elasticity Imaging Techniques: Comparison of Strain Elastography and Shear-Wave Elastography in the Same Population. Ultrasound in Medicine & Biology. 47(1). 104–113. 19 indexed citations
11.
Dong, Yijie, et al.. (2020). Application of Neural Network in Image Detection of Illegal Billboards. 1 indexed citations
12.
Luo, Ting, Ying Zhu, Xiaohong Jia, et al.. (2020). Virtual touch imaging quantification shear-wave elastography for breast lesions: the diagnostic value of qualitative and quantitative features. Clinical Radiology. 76(4). 316.e1–316.e8. 3 indexed citations
13.
Xia, Shujun, Wei Zhou, Yijie Dong, et al.. (2019). A computer-aided diagnosing system in the evaluation of thyroid nodules—experience in a specialized thyroid center. World Journal of Surgical Oncology. 17(1). 210–210. 31 indexed citations
14.
Zhou, Jianqiao, Zhifang Yang, Weiwei Zhan, et al.. (2016). Breast Lesions Evaluated by Color-Coded Acoustic Radiation Force Impulse (ARFI) Imaging. Ultrasound in Medicine & Biology. 42(7). 1464–1472. 11 indexed citations
15.
Zhou, Jianqiao, Zhifang Yang, Weiwei Zhan, Yijie Dong, & Chun Zhou. (2016). Anisotropic Properties of Breast Tissue Measured by Acoustic Radiation Force Impulse Quantification. Ultrasound in Medicine & Biology. 42(10). 2372–2382. 6 indexed citations
16.
Zhou, Wei, et al.. (2014). Maximal, minimal, and mean pulsed Doppler parameters: Which should be utilized in the diagnosis of thyroid nodules?. Clinical Radiology. 69(12). e477–e484. 2 indexed citations
17.
Zhan, Weiwei, Cai Chang, Yi Jia, et al.. (2014). Breast Lesions: Evaluation with Shear Wave Elastography, with Special Emphasis on the “Stiff Rim” Sign. Radiology. 272(1). 63–72. 140 indexed citations
18.
Zhou, Jianqiao, Weiwei Zhan, Yijie Dong, Zhifang Yang, & Chun Zhou. (2014). Stiffness of the surrounding tissue of breast lesions evaluated by ultrasound elastography. European Radiology. 24(7). 1659–1667. 43 indexed citations
19.
Zhou, Jianqiao, Chun Zhou, Weiwei Zhan, et al.. (2014). Elastography ultrasound for breast lesions: fat-to-lesion strain ratio vs gland-to-lesion strain ratio. European Radiology. 24(12). 3171–3177. 33 indexed citations
20.
Zhou, Jianqiao, Weiwei Zhan, Cai Chang, et al.. (2013). Role of Acoustic Shear Wave Velocity Measurement in Characterization of Breast Lesions. Journal of Ultrasound in Medicine. 32(2). 285–294. 16 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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