Wenjun Wang

262 papers receiving 5.9k citations

Peers

Wenjun Wang
Comparison fields: 5 of 113
  • Surfaces, Coatings and Films 458
  • Computational Mechanics 1.6k
  • Biomedical Engineering 1.3k
  • Molecular Medicine 206
  • Materials Chemistry 1.1k
Replace Huiling Duan with:
Huiling Duan China
Ion Nicolae Mihailescu Romania
Andrés Fabián Lasagni Germany
Vasileios Koutsos United Kingdom
Zhi‐Zhu He China
Tianhong Cui United States
Sung Hoon Kang United States
Hongzhong Liu China
Yuliang Wang China
Wenjun Wang relative to Huiling Duan China Huiling Duan's profile →
Citations per field
00.5×2×2.9×
Huiling Duan · 1×
Citations per year

Countries citing papers authored by Wenjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 270 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019228
2 2017224
3 2020217
4 2021129
5 2019102
6 201794
7 202092
8 201886
9 201682
10 201877
11 201572
12 202272
13 201571
14 201969
15 201969
16 202464
17 202363
18 201756
19 201555
20 201655

About Wenjun Wang

Wenjun Wang is a scholar working on Computational Mechanics, Surfaces, Coatings and Films, Biomedical Engineering, Materials Chemistry and Electrical and Electronic Engineering, having authored 270 papers that have together received 6k indexed citations. Recurring topics across this work include Laser Material Processing Techniques (78 papers), Surface Modification and Superhydrophobicity (19 papers), Organic Electronics and Photovoltaics (13 papers), Advanced Sensor and Energy Harvesting Materials (13 papers), Organic Light-Emitting Diodes Research (10 papers), Graphene research and applications (9 papers), Carbon Nanotubes in Composites (9 papers) and ZnO doping and properties (8 papers). The work is most often cited by research in Surfaces, Coatings and Films (458 citations), Computational Mechanics (1.6k citations), Biomedical Engineering (1.3k citations), Molecular Medicine (206 citations) and Materials Chemistry (1.1k citations). Wenjun Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xuesong Mei, Jianlei Cui, Aifei Pan, Gedong Jiang, Kedian Wang, Qian Wang, Xiaochen Dong, Xinyu Qu, Jinjun Shao and Zhengjie Fan. Their work appears in journals such as Optics & Laser Technology, ACS Applied Materials & Interfaces, The International Journal of Advanced Manufacturing Technology, Integrated ferroelectrics and Applied Surface Science.

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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