Shengjia Chen

445 citations
22 papers · 242 indexed · h-index 9
Topics
Infrared Target Detection Methodologies (11 papers)Advanced Measurement and Detection Methods (8 papers)Multimodal Machine Learning Applications (6 papers)
Partner nations
China

In The Last Decade

Shengjia Chen

19 papers receiving 242 citations

Peers

Shengjia Chen
Comparison fields: 5 of 41
  • Aerospace Engineering 139
  • Computer Vision and Pattern Recognition 87
  • Electrical and Electronic Engineering 86
  • Artificial Intelligence 41
  • Media Technology 37
Replace Yujie He with:
Yujie He China
Tingyu Wang China
Chao Jia United States
Shijie Yu China
H. Nanda United States
Yuzhang Gu China
Bingbing Zhuang United States
Dae-Hwan Kim South Korea
Weijian Xie China
Shengjia Chen relative to Yujie He China Yujie He's profile →
Citations per field
00.5×4.1×
Yujie He · 1×
Citations per year

Countries citing papers authored by Shengjia Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shengjia Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengjia Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shengjia Chen. A scholar is included among the top collaborators of Shengjia Chen 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 Shengjia Chen. Shengjia Chen 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
#WorkIndexed citations
1 4
2 0
3 3
4 0
5 7
6 7
7 44
8 18
9 1
10 10
11 17
12 7
13 8
14 3
15 11
16 10
17 8
18 51
19 5
20 0

About Shengjia Chen

Shengjia Chen is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 22 papers that have together received 242 indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (11 papers), Advanced Measurement and Detection Methods (8 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Aerospace Engineering (139 citations), Computer Vision and Pattern Recognition (87 citations) and Media Technology (37 citations). Shengjia Chen has collaborated with scholars based in China. Frequent co-authors include Luping Ji, Zhixin Li, Zhenjun Tang, Mao Ye, Xiaoyong Yao, Sicheng Zhu, Canlong Zhang, Huifang Ma, Lexiao Li and Hongjun Pan. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Transactions on Neural Networks and Learning Systems.

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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