Ping Xing

590 total citations
17 papers, 387 citations indexed

About

Ping Xing is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ping Xing has authored 17 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ping Xing's work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and Ultrasound Imaging and Elastography (3 papers). Ping Xing is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and Ultrasound Imaging and Elastography (3 papers). Ping Xing collaborates with scholars based in China and United States. Ping Xing's co-authors include Changjun Wu, Yingtao Zhang, Kuan Huang, Boyu Zhang, Linfeng Wu, Chunbo Liu, Chunmei Zhang, Shu Li, Wei Meng and Heng-Da Cheng and has published in prestigious journals such as Acta Materialia, Scientific Reports and Molecular Cancer.

In The Last Decade

Ping Xing

15 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Xing China 10 150 106 101 87 69 17 387
Chunping Ning China 14 200 1.3× 65 0.6× 71 0.7× 48 0.6× 165 2.4× 41 501
Xiaotao Guo United States 8 136 0.9× 68 0.6× 92 0.9× 28 0.3× 35 0.5× 12 503
Zhongwei Lv China 11 81 0.5× 101 1.0× 44 0.4× 33 0.4× 27 0.4× 38 403
Cheng Zhao China 11 135 0.9× 52 0.5× 31 0.3× 28 0.3× 73 1.1× 36 421
Yinlong Yang China 13 64 0.4× 166 1.6× 40 0.4× 108 1.2× 29 0.4× 35 513
Szczepan Cierniak Poland 9 129 0.9× 130 1.2× 31 0.3× 53 0.6× 100 1.4× 28 410
Honghao Luo China 9 117 0.8× 51 0.5× 18 0.2× 36 0.4× 110 1.6× 16 288

Countries citing papers authored by Ping Xing

Since Specialization
Citations

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

Fields of papers citing papers by Ping Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Xing

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

All Works

17 of 17 papers shown
1.
Hu, Yan, Xiaona Li, Qingkai Yu, et al.. (2025). Self-forming highly ordered subgrain boundary-strengthened multicomponent heat-resistant copper alloys. Acta Materialia. 303. 121692–121692.
2.
3.
Fang, Jun, Xintian Wang, Ping Xing, et al.. (2024). PD-1/PD-L1 immune checkpoint blockade in breast cancer: research insights and sensitization strategies. Molecular Cancer. 23(1). 266–266. 32 indexed citations
4.
Xing, Ping, et al.. (2024). NRF3 suppresses the malignant progression of TNBC by promoting M1 polarization of macrophages via ROS/HMGB1 axis. Cancer Biology & Therapy. 25(1). 2416221–2416221. 1 indexed citations
5.
Huang, Kuan, Yingtao Zhang, Heng-Da Cheng, & Ping Xing. (2022). Trustworthy Breast Ultrasound Image Semantic Segmentation Based on Fuzzy Uncertainty Reduction. Healthcare. 10(12). 2480–2480. 6 indexed citations
6.
Lv, Xiaohong, et al.. (2021). Immune Cell Infiltration-Based Characterization of Triple-Negative Breast Cancer Predicts Prognosis and Chemotherapy Response Markers. Frontiers in Genetics. 12. 616469–616469. 15 indexed citations
7.
Huang, Kuan, Yingtao Zhang, He Cheng, Ping Xing, & Boyu Zhang. (2021). Semantic segmentation of breast ultrasound image with fuzzy deep learning network and breast anatomy constraints. Neurocomputing. 450. 319–335. 44 indexed citations
8.
Huang, Kuan, Yingtao Zhang, Heng-Da Cheng, & Ping Xing. (2021). Shape-Adaptive Convolutional Operator for Breast Ultrasound Image Segmentation. 1–6. 14 indexed citations
9.
Huang, Kuan, Yingtao Zhang, Heng-Da Cheng, Ping Xing, & Boyu Zhang. (2021). Semantic Segmentation of Breast Ultrasound Image with Pyramid Fuzzy Uncertainty Reduction and Direction Connectedness Feature. 25. 3357–3364. 4 indexed citations
10.
Wang, Jianxin, Yuquan Wang, Ping Xing, et al.. (2020). Development and validation of a hypoxia‑related prognostic signature for breast cancer. Oncology Letters. 20(2). 1906–1914. 33 indexed citations
11.
Xing, Ping, et al.. (2019). Increased Expression of Exosomal AGAP2-AS1 (AGAP2 Antisense RNA 1) In Breast Cancer Cells Inhibits Trastuzumab-Induced Cell Cytotoxicity. Medical Science Monitor. 25. 2211–2220. 72 indexed citations
12.
Huang, Kuan, Heng-Da Cheng, Yingtao Zhang, et al.. (2018). Medical Knowledge Constrained Semantic Breast Ultrasound Image Segmentation. 1193–1198. 26 indexed citations
13.
Tian, Jie, et al.. (2017). Application of 3D and 2D quantitative shear wave elastography (SWE) to differentiate between benign and malignant breast masses. Scientific Reports. 7(1). 41216–41216. 31 indexed citations
14.
Meng, Wei, et al.. (2013). Initial experience of acoustic radiation force impulse ultrasound imaging of cervical lymph nodes. European Journal of Radiology. 82(10). 1788–1792. 38 indexed citations
15.
Xing, Ping, Linfeng Wu, Chunmei Zhang, et al.. (2011). Differentiation of Benign From Malignant Thyroid Lesions. Journal of Ultrasound in Medicine. 30(5). 663–669. 65 indexed citations
16.
Liu, Haixia, et al.. (2011). The morphology and haemodynamics of the rabbit renal artery: evaluation by conventional and contrast-enhanced ultrasonography. Laboratory Animals. 45(3). 204–208. 5 indexed citations
17.
Liu, Zhengguang, et al.. (2009). ROI auto-detecting and coding method for MRI images transmission. 1–4. 1 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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