Jing Xue

633 total citations
24 papers, 422 citations indexed

About

Jing Xue is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jing Xue has authored 24 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jing Xue's work include Brain Tumor Detection and Classification (4 papers), Medical Image Segmentation Techniques (4 papers) and Face and Expression Recognition (4 papers). Jing Xue is often cited by papers focused on Brain Tumor Detection and Classification (4 papers), Medical Image Segmentation Techniques (4 papers) and Face and Expression Recognition (4 papers). Jing Xue collaborates with scholars based in China, United States and Australia. Jing Xue's co-authors include Xiaoqing Gu, Yizhang Jiang, Tongguang Ni, Pengjiang Qian, Kaijian Xia, Shi Qiu, Dongrui Wu, Chin‐Teng Lin, Kaifa Zhao and Yang Ding and has published in prestigious journals such as IEEE Access, Frontiers in Neuroscience and European Radiology.

In The Last Decade

Jing Xue

22 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Xue China 10 161 132 117 68 36 24 422
Mukti E. Jadhav India 11 132 0.8× 256 1.9× 126 1.1× 146 2.1× 59 1.6× 26 653
Jing Zheng China 12 131 0.8× 262 2.0× 128 1.1× 165 2.4× 6 0.2× 36 606
Zhuqing Jiao China 12 120 0.7× 84 0.6× 96 0.8× 96 1.4× 164 4.6× 65 623
Ahmed Abdullah Alqarni Saudi Arabia 8 26 0.2× 138 1.0× 24 0.2× 65 1.0× 23 0.6× 19 350
Mahsa Shakeri Iran 9 164 1.0× 80 0.6× 68 0.6× 134 2.0× 24 0.7× 20 365
I‐Jen Chiang Taiwan 15 112 0.7× 170 1.3× 67 0.6× 54 0.8× 13 0.4× 51 563
Hong Lin United States 11 112 0.7× 116 0.9× 65 0.6× 53 0.8× 47 1.3× 81 444
K. Balasamy India 9 265 1.6× 162 1.2× 97 0.8× 177 2.6× 30 0.8× 19 610
S. Suganyadevi India 9 204 1.3× 173 1.3× 90 0.8× 176 2.6× 28 0.8× 25 585
Ahmad Waleed Salehi India 10 97 0.6× 189 1.4× 116 1.0× 148 2.2× 17 0.5× 14 535

Countries citing papers authored by Jing Xue

Since Specialization
Citations

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

Fields of papers citing papers by Jing Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Xue. A scholar is included among the top collaborators of Jing Xue 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 Jing Xue. Jing Xue 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.
Xue, Jing, et al.. (2025). Factors Influencing Background Parenchymal Enhancement in Breast Contrast-Enhanced Mammography: A Retrospective Study. International Journal of Women s Health. Volume 17. 335–344.
2.
Chen, Yi‐Ting, Hong Pan, Junni Wang, et al.. (2025). Belimumab versus telitacicept in sequential treatment after rituximab for refractory lupus nephritis: a real-world multicentre study. Lupus Science & Medicine. 12(1). e001296–e001296. 2 indexed citations
3.
Hu, Yanming, et al.. (2025). Mixed Residual Attention Network for Medical Image Super-Resolution. Journal of Engineering and Science in Medical Diagnostics and Therapy. 9(1). 1 indexed citations
4.
5.
Xue, Jing, et al.. (2024). Identification of potential diagnostic biomarkers for hypertension via integrated analysis of gene expression and DNA methylation. Blood Pressure. 33(1). 2387025–2387025. 2 indexed citations
6.
7.
Zhang, Cong, Jing Xue, & Xiaoqing Gu. (2022). An Online Weighted Bayesian Fuzzy Clustering Method for Large Medical Data Sets. Computational Intelligence and Neuroscience. 2022. 1–11. 1 indexed citations
8.
Gu, Xiaoqing, et al.. (2021). Brain Tumor MR Image Classification Using Convolutional Dictionary Learning With Local Constraint. Frontiers in Neuroscience. 15. 679847–679847. 62 indexed citations
9.
Ni, Tongguang, et al.. (2021). Deep soft clustering: simultaneous deep embedding and soft-partition clustering. Journal of Ambient Intelligence and Humanized Computing. 14(5). 5581–5593. 7 indexed citations
10.
Gu, Yi, et al.. (2021). A Novel Brain MRI Image Segmentation Method Using an Improved Multi-View Fuzzy c-Means Clustering Algorithm. Frontiers in Neuroscience. 15. 662674–662674. 55 indexed citations
11.
Ni, Tongguang, et al.. (2021). Labeling Privacy Protection SVM Using Privileged Information for COVID-19 Diagnosis. ACM Transactions on Internet Technology. 22(3). 1–21. 2 indexed citations
12.
Ni, Tongguang, et al.. (2021). Local Constraint and Label Embedding Multi-layer Dictionary Learning for Sperm Head Classification. ACM Transactions on Multimedia Computing Communications and Applications. 17(3s). 1–16. 2 indexed citations
13.
Xue, Jing, Xiaoqing Gu, & Tongguang Ni. (2020). Auto-Weighted Multi-View Discriminative Metric Learning Method With Fisher Discriminative and Global Structure Constraints for Epilepsy EEG Signal Classification. Frontiers in Neuroscience. 14. 586149–586149. 8 indexed citations
14.
Zhou, Le‐Ting, Zhijian Zhang, Jing-Yuan Cao, et al.. (2020). The unique molecular mechanism of diabetic nephropathy: a bioinformatics analysis of over 250 microarray datasets. Clinical Kidney Journal. 14(6). 1626–1638. 21 indexed citations
15.
Xue, Jing, Liang Wang, Zhuxing Sun, & Changying Xing. (2019). Basic Research in Diabetic Nephropathy Health Care: A study of the Renoprotective Mechanism of Metformin. Journal of Medical Systems. 43(8). 266–266. 17 indexed citations
16.
Jiang, Yizhang, Kaifa Zhao, Kaijian Xia, et al.. (2019). A Novel Distributed Multitask Fuzzy Clustering Algorithm for Automatic MR Brain Image Segmentation. Journal of Medical Systems. 43(5). 118–118. 83 indexed citations
17.
Xue, Jing, Yizhang Jiang, Yue Zhang, et al.. (2019). Intelligent diagnosis of cardiac valve calcification in ESRD patients with peritoneal dialysis based on improved Takagi-Sugeno-Kang fuzzy system. International Journal of Bio-Inspired Computation. 13(4). 277–277. 2 indexed citations
18.
Xia, Kaijian, Xiaoqing Gu, Jing Xue, et al.. (2019). A Novel Double-Index-Constrained, Multi-View, Fuzzy-Clustering Algorithm and its Application for Detecting Epilepsy Electroencephalogram Signals. IEEE Access. 7. 103823–103832. 6 indexed citations
19.
Hu, Yong, Xiaoyue Xu, Jie Ni, et al.. (2017). Elevated serum levels of vascular endothelial growth factor predict a poor prognosis of platinum-based chemotherapy in non-small cell lung cancer. OncoTargets and Therapy. Volume 10. 409–415. 16 indexed citations
20.
Xue, Jing, et al.. (2014). Acute kidney injury influences mortality in lung transplantation. Renal Failure. 36(4). 541–545. 18 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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