Xuewen Chen

6.7k citations
161 papers · 4.9k · 1 hit paper · h-index 35

Impact in

Papers in

Xuewen Chen

157 papers receiving 4.8k citations

Xuewen Chen's Hit Papers

Big Data Deep Learning: Challenges and Perspectives 2014 · 861 citations
8610+4+8Years since publication250500750

Peers

Xuewen Chen
Comparison fields: 5 of 197
  • Soil Science 463
  • Polymers and Plastics 398
  • Artificial Intelligence 885
  • Electrical and Electronic Engineering 1.4k
  • Biomedical Engineering 975
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Xuewen Chen relative to Jia Chen China Jia Chen's profile →
Citations per field
00.5×3.4×
Jia Chen · 1×
Citations per year

Countries citing papers authored by Xuewen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xuewen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Big Data Deep Learning: Challenges and Perspectives
Hit paper breakdown →
2014861
2 2009284
3 2007245
4 2011225
5 2005210
6 2019136
7 2015112
8 201299
9 200596
10 201291
11 200980
12 200379
13 201578
14 201575
15 201973
16 201373
17 201265
18 201457
19 201255
20 201654

About Xuewen Chen

Xuewen Chen is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Soil Science, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials, having authored 161 papers that have together received 4.9k indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (24 papers), Plasmonic and Surface Plasmon Research (23 papers), Photonic and Optical Devices (18 papers), Organic Electronics and Photovoltaics (16 papers), Conducting polymers and applications (15 papers), Gold and Silver Nanoparticles Synthesis and Applications (15 papers), Soil and Unsaturated Flow (9 papers) and Organic Light-Emitting Diodes Research (9 papers). The work is most often cited by research in Soil Science (463 citations), Polymers and Plastics (398 citations), Artificial Intelligence (885 citations), Electrical and Electronic Engineering (1.4k citations) and Biomedical Engineering (975 citations). Xuewen Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaotong Lin, Vahid Sandoghdar, Jong Cheol Jeong, Mario Agio, Aizhen Liang, Shuxia Jia, Neil B. McLaughlin, Stephan Götzinger, Sailing He and Shixiu Zhang. Their work appears in journals such as Soil and Tillage Research, Nano Letters, Optics Express, Physical Review Letters and Materials.

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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