Xiaoning Wen

23 papers receiving 582 citations

Peers

Xiaoning Wen
Comparison fields: 5 of 56
  • Physical and Theoretical Chemistry 85
  • Polymers and Plastics 128
  • Computational Mechanics 109
  • Renewable Energy, Sustainability and the Environment 82
  • Electrical and Electronic Engineering 274
Replace Hideyuki Inouye with:
Hideyuki Inouye Japan
W. Paa Germany
Andreas Bartelt Germany
Eleonora Vella Italy
Shunichi Kawanishi Japan
Sri Ram G. Naraharisetty India
C. B. Roxlo United States
V. S. Vikhrenko Belarus
Bruno Lucas France
Zehua Wu China
Xiaoning Wen relative to Hideyuki Inouye Japan Hideyuki Inouye's profile →
Citations per field
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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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201869
2 202067
3 199256
4 199249
5 199639
6 201939
7 199036
8 202136
9 199434
10 199230
11 199329
12 199426
13 202124
14
Laser ablation transfer imaging using picosecond optical pulses: Ultra-high speed, lower threshold and high resolution
199313
15 202112
16 202510
17 199110
18 20207
19 20254
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 28 papers that have together received 601 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), Diamond and Carbon-based Materials Research (4 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Metal and Thin Film Mechanics (3 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers) and Laser Material Processing Techniques (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (85 citations), Polymers and Plastics (128 citations), Computational Mechanics (109 citations), Renewable Energy, Sustainability and the Environment (82 citations) and Electrical and Electronic Engineering (274 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, Zhichao Lin, Kenneth G. Spears, Jingjing Yan, Hongye Dong, Ruihua Zhang and David E. Hare. Their work appears in journals such as The Journal of Physical Chemistry, Langmuir, Materials Science in Semiconductor Processing, The Journal of Chemical Physics and The Journal of Physical Chemistry C.

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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