Siji Chen

624 citations
37 papers · 435 · h-index 10

Impact in

Papers in

Siji Chen

32 papers receiving 428 citations

Peers

Siji Chen
Comparison fields: 5 of 104
  • Computational Mathematics 9
  • Mechanical Engineering 149
  • Computer Vision and Pattern Recognition 73
  • Civil and Structural Engineering 67
  • Human-Computer Interaction 18
Replace Jiahao Wu with:
Jiahao Wu China
Myeongjin Kim South Korea
Zhenyu Tang China
Shuo Jin China
Jiaxin Cheng China
Xin Xiong China
Takayoshi MUTO Japan
Yueqing Yu China
Y. Wang China
Krzysztof Murawski Poland
Siji Chen relative to Jiahao Wu China Jiahao Wu's profile →
Citations per field
00.5×2×2.7×
Jiahao Wu · 1×
Citations per year

Countries citing papers authored by Siji Chen

Since Specialization
Citations

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

Fields of papers citing papers by Siji Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Siji Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Siji Chen Line = papers co-authored together Siji Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201782
2 201854
3 202045
4 202037
5 201931
6 202228
7 202223
8 202419
9 201618
10 202211
11 20239
12 20238
13 20228
14 20197
15 20227
16 20245
17 20225
18 20194
19
Flow field and film cooling characteristics in supersonic turbine cascade
20133
20 20233

About Siji Chen

Siji Chen is a scholar working on Computer Networks and Communications, Aerospace Engineering, Computer Vision and Pattern Recognition, Signal Processing and Control and Systems Engineering, having authored 37 papers that have together received 435 indexed citations. Recurring topics across this work include UAV Applications and Optimization (5 papers), Cognitive Radio Networks and Spectrum Sensing (4 papers), Distributed Sensor Networks and Detection Algorithms (3 papers), Blind Source Separation Techniques (3 papers), Data Visualization and Analytics (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Cellular and Composite Structures (3 papers) and Mobile Ad Hoc Networks (3 papers). The work is most often cited by research in Computational Mathematics (9 citations), Mechanical Engineering (149 citations), Computer Vision and Pattern Recognition (73 citations), Civil and Structural Engineering (67 citations) and Human-Computer Interaction (18 citations). Siji Chen has collaborated with scholars based in China, South Korea and Australia. Frequent co-authors include Haiyan Yu, Jianguang Fang, Nan Cao, Yang Shi, Chunting Hua, Bin Shen, Sang‐Jo Yoo, Hao Cheng, Xin Wang and Pei Liu. Their work appears in journals such as Applied Sciences, Drones, Sensors, International Journal of Molecular Medicine and BMC Cardiovascular Disorders.

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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