Jinyu Xie

519 citations
17 papers · 292 indexed · h-index 8
Topics
Diabetes Management and Research (10 papers)Complexity and Algorithms in Graphs (6 papers)Pancreatic function and diabetes (6 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Jinyu Xie

16 papers receiving 273 citations

Peers

Jinyu Xie
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 168
  • Genetics 78
  • Health Information Management 69
  • Surgery 69
  • Artificial Intelligence 64
Replace Mohammad Reza Askari with:
Mohammad Reza Askari United States
Cynthia R. Marling United States
Arthur Bertachi Brazil
Marzia Cescon United States
Peter Pesl United Kingdom
Silvia Oviedo Spain
Nicole Hobbs United States
Chengyuan Liu United Kingdom
Aikaterini Prountzou Greece
Dayu Lv United States
Jinyu Xie relative to Mohammad Reza Askari United States Mohammad Reza Askari's profile →
Citations per field
00.5×
Mohammad Reza Askari · 1×
Citations per year

Countries citing papers authored by Jinyu Xie

Since Specialization
Citations

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

Fields of papers citing papers by Jinyu Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyu Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Jinyu Xie. A scholar is included among the top collaborators of Jinyu Xie 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 Jinyu Xie. Jinyu Xie 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
#WorkIndexed citations
1 99
2 13
3
Benchmark Machine Learning Approaches with Classical Time Series Approaches on the Blood Glucose Level Prediction Challenge.
22
4 8
5 1
6 8
7 0
8 6
9 5
10 10
11 3
12 3
13 4
14 32
15 7
16 3
17 68

About Jinyu Xie

Jinyu Xie is a scholar working on Endocrinology, Diabetes and Metabolism, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 17 papers that have together received 292 indexed citations. Recurring topics across this work include Diabetes Management and Research (10 papers), Complexity and Algorithms in Graphs (6 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Health Information Management (69 citations), Endocrinology, Diabetes and Metabolism (168 citations) and Genetics (78 citations). Jinyu Xie has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Qian Wang, Qian Wang, Jan S. Ulbrecht, Peter C. M. Molenaar, Carol Gold, Xi Chen, Xi Chen, Rocco A. Servedio, Li-Yang Tan and Xi Chen. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of the ACM and Journal of Biomechanical Engineering.

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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