Chen Wu

25 papers receiving 404 citations

Peers

Chen Wu
Comparison fields: 5 of 61
  • Biomedical Engineering 203
  • Electronic, Optical and Magnetic Materials 68
  • Ceramics and Composites 21
  • Computational Mechanics 74
  • Surfaces, Coatings and Films 23
Replace Weibing Wang with:
Weibing Wang China
O. Ehrmann Germany
Y.K. Fang Taiwan
Hayato Iwamoto Japan
Xiangdong Liang United States
Armin Klumpp Germany
Sourabh Roy India
E. Hourdakis Greece
Noriyoshi Yamauchi Japan
Chen Wu relative to Weibing Wang China Weibing Wang's profile →
Citations per field
00.5×4.4×
Weibing Wang · 1×
Citations per year

Countries citing papers authored by Chen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202041
2 201940
3 202339
4 202138
5 201830
6 201628
7 202227
8 202123
9 201719
10 201319
11 202218
12 202015
13 202015
14 202312
15 202312
16 20249
17 20146
18 20196
19 20144
20
Exploring Forensic Dental Identification with Deep Learning
20213

About Chen Wu

Chen Wu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Materials Chemistry, Computer Vision and Pattern Recognition and Mechanics of Materials, having authored 27 papers that have together received 413 indexed citations. Recurring topics across this work include Diamond and Carbon-based Materials Research (7 papers), Advanced Surface Polishing Techniques (5 papers), Nanowire Synthesis and Applications (4 papers), Face and Expression Recognition (3 papers), Metal and Thin Film Mechanics (3 papers), Emotion and Mood Recognition (3 papers), Plasma Applications and Diagnostics (3 papers) and Advanced MEMS and NEMS Technologies (3 papers). The work is most often cited by research in Biomedical Engineering (203 citations), Electronic, Optical and Magnetic Materials (68 citations), Ceramics and Composites (21 citations), Computational Mechanics (74 citations) and Surfaces, Coatings and Films (23 citations). Chen Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xudong Fang, Zhuangde Jiang, Ryutaro Maeda, Libo Zhao, Bian Tian, Qiang Kang, Shenli Jia, Lijun Wang, Jing Zhao and Jian-Jun Li. Their work appears in journals such as Ceramics International, Microsystems & Nanoengineering, Multimedia Tools and Applications, Applied Surface Science and Journal of Micromechanics and Microengineering.

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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