Shuaijun Chen

592 citations
22 papers · 393 · h-index 11

Impact in

Papers in

Shuaijun Chen

18 papers receiving 388 citations

Peers

Shuaijun Chen
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 185
  • Artificial Intelligence 173
  • Media Technology 42
  • Civil and Structural Engineering 63
  • Mechanics of Materials 62
Replace Ziliang Feng with:
Ziliang Feng China
Mehdi Noroozi Iran
Yue Cui China
Amjad Khan Malaysia
Yufei Liang China
Geraldo L. B. Ramalho Brazil
Jiahui Geng China
Yanfei Su China
Xiang He China
Ruijia Xu China
Shuaijun Chen relative to Ziliang Feng China Ziliang Feng's profile →
Citations per field
00.5×4.8×
Ziliang Feng · 1×
Citations per year

Countries citing papers authored by Shuaijun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shuaijun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shuaijun 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 Shuaijun Chen Line = papers co-authored together Shuaijun Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202175
2 202169
3 202148
4 202038
5 202233
6 202132
7 202321
8 202317
9 202316
10 202314
11 201913
12 20255
13 20253
14 20193
15 20242
16 20241
17 20201
18 20201
19 20251
20 20250

About Shuaijun Chen

Shuaijun Chen is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 393 indexed citations. Recurring topics across this work include Rock Mechanics and Modeling (6 papers), Tailings Management and Properties (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (4 papers), COVID-19 diagnosis using AI (3 papers), Seismic and Structural Analysis of Tall Buildings (2 papers), Recycling and Waste Management Techniques (1 paper) and Numerical methods in engineering (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (185 citations), Artificial Intelligence (173 citations), Media Technology (42 citations), Civil and Structural Engineering (63 citations) and Mechanics of Materials (62 citations). Shuaijun Chen has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Xu Jia, Jianzhuang Liu, Jianzhong He, Yongjie Shi, Yiqing Zhao, Aibing Jin, Jie Wang, Huchuan Lu, Takashi Isobe and Shengjin Wang. Their work appears in journals such as Construction and Building Materials, Case Studies in Construction Materials, Nature Communications, International Journal of Minerals Metallurgy and Materials and Waste Management.

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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