Yong Pi

694 total citations
13 papers, 493 citations indexed

About

Yong Pi is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yong Pi has authored 13 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yong Pi's work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (6 papers) and Medical Imaging Techniques and Applications (3 papers). Yong Pi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (6 papers) and Medical Imaging Techniques and Applications (3 papers). Yong Pi collaborates with scholars based in China. Yong Pi's co-authors include Yi Zhang, Xiaofeng Qi, Qing Lv, Lei Zhang, Yi Chen, Chen Yao, Fuxiang Zhang, Xiu Zhang, Naijia Guan and Jie Cui and has published in prestigious journals such as Scientific Reports, The Journal of Physical Chemistry C and Neurocomputing.

In The Last Decade

Yong Pi

13 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Pi China 9 288 232 90 87 72 13 493
Tiffany C. Kwong United States 11 366 1.3× 164 0.7× 173 1.9× 65 0.7× 33 0.5× 24 515
Yuanzhong Li Japan 17 148 0.5× 87 0.4× 66 0.7× 64 0.7× 204 2.8× 45 620
Zihan Mei China 8 107 0.4× 104 0.4× 188 2.1× 15 0.2× 125 1.7× 19 478
Yuqing Ai China 8 227 0.8× 315 1.4× 53 0.6× 11 0.1× 45 0.6× 11 512
Hua-Rong Ye China 8 278 1.0× 201 0.9× 134 1.5× 12 0.1× 124 1.7× 12 524
Jiaxin Wang China 7 125 0.4× 191 0.8× 18 0.2× 81 0.9× 55 0.8× 16 473
An Qin China 16 325 1.1× 39 0.2× 113 1.3× 35 0.4× 16 0.2× 57 746
Xiangyu Zhao China 8 129 0.4× 83 0.4× 28 0.3× 10 0.1× 8 0.1× 29 243
Yuemeng Li China 11 138 0.5× 48 0.2× 71 0.8× 127 1.5× 29 0.4× 42 450

Countries citing papers authored by Yong Pi

Since Specialization
Citations

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

Fields of papers citing papers by Yong Pi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Pi

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

All Works

13 of 13 papers shown
1.
Zhu, Meng, Yong Pi, Zekun Jiang, et al.. (2022). Application of deep learning to identify ductal carcinoma in situ and microinvasion of the breast using ultrasound imaging. Quantitative Imaging in Medicine and Surgery. 12(9). 4633–4646. 18 indexed citations
2.
Pi, Yong, Zhen Zhao, Pei Yang, et al.. (2022). Deep regression using 99mTc-DTPA dynamic renal imaging for automatic calculation of the glomerular filtration rate. European Radiology. 33(1). 34–42. 5 indexed citations
3.
Wei, Jianan, Pei Yang, Yong Pi, et al.. (2022). Cross-granularity multi-task network for ischemia diagnosis and defect detection in the myocardial perfusion imaging. Knowledge-Based Systems. 251. 108877–108877. 2 indexed citations
4.
Pi, Yong, Qian Li, Xiaofeng Qi, Dan Deng, & Yi Zhang. (2022). Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss function. Applied Intelligence. 52(11). 12943–12956. 7 indexed citations
5.
Yang, Pei, Yong Pi, Lisha Jiang, et al.. (2021). Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network. BMC Medical Imaging. 21(1). 131–131. 15 indexed citations
6.
Yang, Pei, Yong Pi, Jiangming Sun, et al.. (2021). Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study. BMC Medical Imaging. 21(1). 179–179. 10 indexed citations
7.
Qi, Xiaofeng, Lei Zhang, Chen Yao, et al.. (2021). Computer-aided diagnosis of breast cancer in ultrasonography images by deep learning. Neurocomputing. 472. 152–165. 28 indexed citations
8.
Pi, Yong, Pei Yang, Jianan Wei, et al.. (2021). Fusing deep and handcrafted features for intelligent recognition of uptake patterns on thyroid scintigraphy. Knowledge-Based Systems. 236. 107531–107531. 6 indexed citations
9.
Zhen, Zhao, Yong Pi, Lisha Jiang, et al.. (2020). Deep neural network based artificial intelligence assisted diagnosis of bone scintigraphy for cancer bone metastasis. Scientific Reports. 10(1). 17046–17046. 58 indexed citations
10.
Pi, Yong, et al.. (2020). Automated diagnosis of bone metastasis based on multi-view bone scans using attention-augmented deep neural networks. Medical Image Analysis. 65. 101784–101784. 48 indexed citations
11.
Pi, Yong, Yao Chen, Dan Deng, et al.. (2020). Automated diagnosis of multi-plane breast ultrasonography images using deep neural networks. Neurocomputing. 403. 371–382. 18 indexed citations
12.
Qi, Xiaofeng, Lei Zhang, Chen Yao, et al.. (2018). Automated diagnosis of breast ultrasonography images using deep neural networks. Medical Image Analysis. 52. 185–198. 179 indexed citations
13.
Zhang, Fuxiang, Yong Pi, Jie Cui, et al.. (2007). Unexpected Selective Photocatalytic Reduction of Nitrite to Nitrogen on Silver-Doped Titanium Dioxide. The Journal of Physical Chemistry C. 111(9). 3756–3761. 99 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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