Xiaosha Chen

1.1k citations
13 papers · 269 · h-index 7

Impact in

Papers in

Xiaosha Chen

12 papers receiving 264 citations

Peers

Xiaosha Chen
Comparison fields: 5 of 39
  • Computer Networks and Communications 132
  • Automotive Engineering 51
  • Electrical and Electronic Engineering 155
  • Control and Systems Engineering 44
  • Transportation 11
Replace Dongdai Zhou with:
Dongdai Zhou China
Xiaoting Ma China
Mhafuzul Islam United States
JoonBeom Kim United States
Kazuaki Obana Japan
Carlos Renato Storck Brazil
David García‐Roger Spain
Inès Ben Jemaa France
Omar Adil Mahdi Malaysia
Mona Bakri Hassan Sudan
Xiaosha Chen relative to Dongdai Zhou China Dongdai Zhou's profile →
Citations per field
00.5×1.5×2.3×
Dongdai Zhou · 1×
Citations per year

Countries citing papers authored by Xiaosha Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaosha Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Xiaosha 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 Xiaosha Chen Line = papers co-authored together Xiaosha Chen links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201964
2 202061
3 202033
4 201933
5 201923
6 202020
7 202320
8 20216
9 20233
10 20183
11 20182
12 20181
13 20240

About Xiaosha Chen

Xiaosha Chen is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Control and Systems Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 269 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (6 papers), Traffic control and management (4 papers), Advanced MIMO Systems Optimization (3 papers), IoT and Edge/Fog Computing (2 papers), Advanced Wireless Communication Technologies (2 papers), Optical Wireless Communication Technologies (2 papers), Network Security and Intrusion Detection (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Computer Networks and Communications (132 citations), Automotive Engineering (51 citations), Electrical and Electronic Engineering (155 citations), Control and Systems Engineering (44 citations) and Transportation (11 citations). Xiaosha Chen has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Supeng Leng, Longyu Zhou, Jianhua He, Kun Yang, Kai Xiong, Jie Hu, Ke Zhang, Sun Mao, Fan Wu and Jihua Zhou. Their work appears in journals such as IEEE Access, IEEE Transactions on Vehicular Technology, China Communications, Tsinghua Science & Technology and IEEE Internet of Things Journal.

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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