Jiarui Song

645 citations
9 papers · 468 indexed · 1 hit paper · h-index 6
Co-authors
Beibei LiYuhao WuRongxing LuLiang ZhaoTao LiLi ChenKangcheng WangMiao He
Topics
Cerebrovascular and Carotid Artery Diseases (4 papers)Dementia and Cognitive Impairment Research (3 papers)Neurological Disease Mechanisms and Treatments (2 papers)
Partner nations
ChinaCanadaJapan

In The Last Decade

Jiarui Song

9 papers receiving 459 citations

Hit Papers

DeepFed: Federated Deep Learning for Intrusion Detection ...20202026202220242020100200300400

Peers

Jiarui Song
Comparison fields: 5 of 61
  • Artificial Intelligence 312
  • Computer Networks and Communications 292
  • Control and Systems Engineering 123
  • Signal Processing 106
  • Information Systems 61
Replace Yakubu Imrana with:
Yakubu Imrana China
Fehaid Alqahtani United Kingdom
Zaffar Haider Janjua Italy
Tianxi Ji United States
Luping Liu China
Nizar Alsharif Saudi Arabia
Sriram Srinivasan United States
Majed Aborokbah Saudi Arabia
Soman KP India
Yali Gao China
Jiarui Song relative to Yakubu Imrana China Yakubu Imrana's profile →
Citations per field
00.5×4.1×
Yakubu Imrana · 1×
Citations per year

Countries citing papers authored by Jiarui Song

Since Specialization
Citations

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

Fields of papers citing papers by Jiarui Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiarui Song

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 4
3 7
4 7
5 16
6 3
7 8
8
DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systemsbreakdown →
410
9 12

About Jiarui Song

Jiarui Song is a scholar working on Neurology, Psychiatry and Mental health and Obstetrics and Gynecology, having authored 9 papers that have together received 468 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (4 papers), Dementia and Cognitive Impairment Research (3 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Computer Networks and Communications (292 citations), Signal Processing (106 citations) and Artificial Intelligence (312 citations). Jiarui Song has collaborated with scholars based in China, Canada and Japan. Frequent co-authors include Beibei Li, Yuhao Wu, Rongxing Lu, Liang Zhao, Tao Li, Li Chen, Kangcheng Wang, Miao He, Tianyou Luo and Aohan Li. Their work appears in journals such as IEEE Transactions on Industrial Informatics, BMC Cancer and International Journal of Gynecology & Obstetrics.

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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