Xia Yu

1.6k total citations
82 papers, 1.1k citations indexed

About

Xia Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Xia Yu has authored 82 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 20 papers in Computer Vision and Pattern Recognition and 13 papers in Artificial Intelligence. Recurrent topics in Xia Yu's work include Diabetes Management and Research (24 papers), Diabetes and associated disorders (8 papers) and Climate variability and models (8 papers). Xia Yu is often cited by papers focused on Diabetes Management and Research (24 papers), Diabetes and associated disorders (8 papers) and Climate variability and models (8 papers). Xia Yu collaborates with scholars based in China, United States and Tunisia. Xia Yu's co-authors include Xin Geng, Hongru Li, Jianchang Liu, Shaohua Wan, Qin Wang, Tao Yang, Mohammed Atiquzzaman, Lianyong Qi, Yee‐Hong Yang and Ning Ma and has published in prestigious journals such as Monthly Weather Review, Industrial & Engineering Chemistry Research and AIChE Journal.

In The Last Decade

Xia Yu

74 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xia Yu China 19 340 319 176 138 107 82 1.1k
Ji Lin China 17 1.8k 5.2× 952 3.0× 57 0.3× 102 0.7× 43 0.4× 42 2.3k
Antonio Della Cioppa Italy 19 161 0.5× 704 2.2× 67 0.4× 31 0.2× 73 0.7× 78 1.2k
Dhanesh Ramachandram Malaysia 13 345 1.0× 397 1.2× 33 0.2× 90 0.7× 40 0.4× 39 992
Simon Y. Foo United States 20 166 0.5× 469 1.5× 29 0.2× 94 0.7× 114 1.1× 86 1.4k
Yi Fang United States 19 541 1.6× 310 1.0× 15 0.1× 30 0.2× 50 0.5× 105 1.3k
Ross Goroshin United States 5 664 2.0× 421 1.3× 21 0.1× 68 0.5× 64 0.6× 8 1.1k
Longlong Jing United States 11 824 2.4× 749 2.3× 10 0.1× 101 0.7× 61 0.6× 17 1.6k
Zhaofan Qiu China 19 2.3k 6.7× 1.2k 3.8× 104 0.6× 83 0.6× 70 0.7× 40 2.7k
Qi She Hong Kong 15 779 2.3× 458 1.4× 19 0.1× 96 0.7× 76 0.7× 33 1.3k
Xiaohan Ding China 10 472 1.4× 187 0.6× 12 0.1× 34 0.2× 26 0.2× 40 1.0k

Countries citing papers authored by Xia Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xia Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xia Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xia Yu. A scholar is included among the top collaborators of Xia Yu 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 Xia Yu. Xia Yu 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.
Huang, Xinyi, Xia Yu, Hanxi Wang, & Lingyan Wang. (2025). Utilization of crop straw biochar in China from the perspective of enhancing carbon sink function. Biomass Conversion and Biorefinery. 15(24). 30759–30773.
2.
Jia, Runda, et al.. (2024). A Tube-NMPC Approach for Robust Control of Glucose in Type 1 Diabetes Mellitus. IEEE Transactions on Automation Science and Engineering. 22. 9001–9012. 1 indexed citations
3.
Wang, Yaxin, Xiaoyu Sun, Hongru Li, et al.. (2024). HGMLA: A Multitask Learning Model for Assessment of HbA1c and GA Levels Using Short-Term CGM Sensor Data. IEEE Sensors Journal. 24(20). 33633–33646.
4.
Sun, Xiaoyu, Ali Çınar, Jianchang Liu, Mudassir Rashid, & Xia Yu. (2023). Prior-knowledge-embedded model predictive control for blood glucose regulation: Towards efficient and safe artificial pancreas. Biomedical Signal Processing and Control. 82. 104551–104551. 6 indexed citations
5.
Yang, Zi, Ning Ma, Xiaoyu Sun, et al.. (2023). A novel hypoglycemia alarm framework for type 2 diabetes with high glycemic variability. International Journal for Numerical Methods in Biomedical Engineering. 40(2). e3799–e3799. 2 indexed citations
6.
Wang, Jingzhuo, et al.. (2023). Construction of multiscale initial perturbations and the associated impacts on convection-permitting ensemble forecasting. Atmospheric Research. 297. 107121–107121. 2 indexed citations
7.
Li, Hongru, et al.. (2023). A novel time representation input based on deep learning for ECG classification. Biomedical Signal Processing and Control. 83. 104628–104628. 38 indexed citations
8.
Zhou, Xuanyu, Lifan Zhou, Shengrong Gong, et al.. (2023). Hybrid CNN and Transformer Network for Semantic Segmentation of UAV Remote Sensing Images. 5(1). 33–41. 4 indexed citations
9.
Sun, Xiaoyu, Jianchang Liu, Ali Çınar, Xia Yu, & Shubin Tan. (2023). Event-Triggered Model Predictive Control for Artificial Pancreas Using Prior-Knowledge-Informed Hybrid Model. IEEE Transactions on Control Systems Technology. 31(5). 2275–2287. 1 indexed citations
10.
Yu, Xia, et al.. (2023). A State-by-State online transfer learning framework with incremental clustering for blood glucose prediction. Biomedical Signal Processing and Control. 86. 105200–105200. 3 indexed citations
11.
Ma, Ning, Xia Yu, Tao Yang, Yuhang Zhao, & Hongru Li. (2022). A hypoglycemia early alarm method for patients with type 1 diabetes based on multi-dimensional sequential pattern mining. Heliyon. 8(11). e11372–e11372. 4 indexed citations
12.
Li, Hongru, et al.. (2021). A multiview feature fusion model for heartbeat classification. Physiological Measurement. 42(6). 65003–65003. 19 indexed citations
13.
Yu, Xia, Ning Ma, Tao Yang, et al.. (2021). A multi-level hypoglycemia early alarm system based on sequence pattern mining. BMC Medical Informatics and Decision Making. 21(1). 22–22. 5 indexed citations
14.
Ji, Guang, Zhaohui Wang, Lifan Zhou, et al.. (2020). SAR Image Colorization Using Multidomain Cycle-Consistency Generative Adversarial Network. IEEE Geoscience and Remote Sensing Letters. 18(2). 296–300. 37 indexed citations
15.
Yu, Xia, et al.. (2020). Fault detection of continuous glucose measurements based on modified k-medoids clustering algorithm. Neural Computing and Applications. 37(35-36). 29089–29098. 6 indexed citations
16.
17.
Yu, Xia, Elizabeth Littlejohn, Laurie Quinn, et al.. (2018). Online Glucose Prediction Using Computationally Efficient Sparse Kernel Filtering Algorithms in Type-1 Diabetes. IEEE Transactions on Control Systems Technology. 28(1). 3–15. 27 indexed citations
18.
Feng, Jianyuan, Iman Hajizadeh, Xia Yu, et al.. (2018). Multi-level supervision and modification of artificial pancreas control system. Computers & Chemical Engineering. 112. 57–69. 11 indexed citations
19.
Yu, Xia, Kamuran Turksoy, Mudassir Rashid, et al.. (2017). Model-fusion-based online glucose concentration predictions in people with type 1 diabetes. Control Engineering Practice. 71. 129–141. 29 indexed citations
20.
Yu, Xia, et al.. (2013). Performance analysis of adaptive filters for time-varying systems. Chinese Control Conference. 8572–8575. 6 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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