Xue-Wen Chen

6.9k citations
189 papers · 5.5k · 1 hit paper · h-index 36

Impact in

Papers in

Xue-Wen Chen

180 papers receiving 5.3k citations

Xue-Wen Chen's Hit Papers

Big Data Deep Learning: Challenges and Perspectives 2014 · 994 citations
9940+4+8Years since publication250500750

Peers

Xue-Wen Chen
Comparison fields: 5 of 199
  • Soil Science 484
  • Artificial Intelligence 1.0k
  • Polymers and Plastics 405
  • Electrical and Electronic Engineering 1.5k
  • Biomedical Engineering 1.0k
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Xue-Wen Chen relative to Wei Wang China Wei Wang's profile →
Citations per field
00.5×2×3.1×
Wei Wang · 1×
Citations per year

Countries citing papers authored by Xue-Wen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xue-Wen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 189 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Big Data Deep Learning: Challenges and Perspectives
Hit paper breakdown →
2014994
2 2009316
3 2007282
4 2011240
5 2005226
6 2019141
7 2015118
8 2012102
9 2005101
10 201294
11 200388
12 200984
13 201580
14 201579
15 201977
16 201374
17 201265
18 202259
19 201257
20 201657

About Xue-Wen Chen

Xue-Wen Chen is a scholar working on Soil Science, Biomedical Engineering, Electrical and Electronic Engineering, Polymers and Plastics and Electronic, Optical and Magnetic Materials, having authored 189 papers that have together received 5.5k indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (25 papers), Plasmonic and Surface Plasmon Research (24 papers), Photonic and Optical Devices (21 papers), Organic Electronics and Photovoltaics (16 papers), Gold and Silver Nanoparticles Synthesis and Applications (15 papers), Conducting polymers and applications (15 papers), Metallurgy and Material Forming (12 papers) and Near-Field Optical Microscopy (11 papers). The work is most often cited by research in Soil Science (484 citations), Artificial Intelligence (1.0k citations), Polymers and Plastics (405 citations), Electrical and Electronic Engineering (1.5k citations) and Biomedical Engineering (1.0k citations). Xue-Wen 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 Optics Express, Soil and Tillage Research, Nano Letters, 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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