Xiaoning Wen

27 papers receiving 624 citations

Peers

Xiaoning Wen
Comparison fields: 5 of 56
  • Physical and Theoretical Chemistry 86
  • Polymers and Plastics 129
  • Computational Mechanics 118
  • Renewable Energy, Sustainability and the Environment 87
  • Electrical and Electronic Engineering 284
Replace Hideyuki Inouye with:
Hideyuki Inouye Japan
Victor V. Matylitsky Germany
W. Paa Germany
Eleonora Vella Italy
Sri Ram G. Naraharisetty India
Shunichi Kawanishi Japan
C. B. Roxlo United States
R. U. A. Khan United Kingdom
Guo Chen China
V. S. Vikhrenko Belarus
Xiaoning Wen relative to Hideyuki Inouye Japan Hideyuki Inouye's profile →
Citations per field
00.5×6.4×
Hideyuki Inouye · 1×
Citations per year

Countries citing papers authored by Xiaoning Wen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201874
2 202067
3 199259
4 199251
5 199644
6 201941
7 199037
8 202137
9 199435
10 199231
11 199330
12 199427
13 202124
14
Laser ablation transfer imaging using picosecond optical pulses: Ultra-high speed, lower threshold and high resolution
199320
15 202113
16 202512
17 199110
18 20209
19 20255
20 20254

About Xiaoning Wen

Xiaoning Wen is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics and Polymers and Plastics, having authored 29 papers that have together received 639 indexed citations. Recurring topics across this work include Conducting polymers and applications (6 papers), Advanced Surface Polishing Techniques (6 papers), Perovskite Materials and Applications (6 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Diamond and Carbon-based Materials Research (4 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers), Metal and Thin Film Mechanics (3 papers) and Laser Material Processing Techniques (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (86 citations), Polymers and Plastics (129 citations), Computational Mechanics (118 citations), Renewable Energy, Sustainability and the Environment (87 citations) and Electrical and Electronic Engineering (284 citations). Xiaoning Wen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dana D. Dlott, William A. Tolbert, Cheng Mu, Qingbin Cai, Kenneth G. Spears, Zhichao Lin, Jingjing Yan, Hongye Dong, Ruihua Zhang and Xin Xie. Their work appears in journals such as Langmuir, The Journal of Physical Chemistry, The Journal of Chemical Physics, Materials Science in Semiconductor Processing and ACS Sustainable Chemistry & Engineering.

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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