Can Wang

516 citations
29 papers · 419 · h-index 10

Impact in

Papers in

Can Wang

27 papers receiving 398 citations

Peers

Can Wang
Comparison fields: 5 of 85
  • Modeling and Simulation 78
  • Catalysis 45
  • Numerical Analysis 32
  • Industrial and Manufacturing Engineering 34
  • Statistical and Nonlinear Physics 41
Replace Jamel Bessrour with:
Jamel Bessrour Tunisia
Mohammad Nadeem Khan Saudi Arabia
Aziz Azimi Iran
Sultan Alqahtani Saudi Arabia
Jae Ho Choi South Korea
Wenlin Zhang China
Tien Dung Le France
Morteza Khalilian Iran
Rachid Bessaïh Algeria
Can Wang relative to Jamel Bessrour Tunisia Jamel Bessrour's profile →
Citations per field
00.5×11.3×
Jamel Bessrour · 1×
Citations per year

Countries citing papers authored by Can Wang

Since Specialization
Citations

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

Fields of papers citing papers by Can Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Can 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 Can Wang Line = papers co-authored together Can Wang 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 2007101
2 201473
3 200146
4 201224
5 198423
6 198322
7 200818
8 200717
9 201113
10 200812
11 20188
12 20207
13 20236
14 20216
15 20076
16 20185
17 20185
18 20155
19 20184
20 20003

About Can Wang

Can Wang is a scholar working on Materials Chemistry, Biomedical Engineering, Mechanics of Materials, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 29 papers that have together received 419 indexed citations. Recurring topics across this work include Metal and Thin Film Mechanics (4 papers), Nonlinear Optical Materials Studies (3 papers), Manufacturing Process and Optimization (3 papers), Catalysis and Oxidation Reactions (3 papers), Catalytic Processes in Materials Science (3 papers), Semiconductor materials and interfaces (2 papers), Industrial Gas Emission Control (2 papers) and Vibration and Dynamic Analysis (2 papers). The work is most often cited by research in Modeling and Simulation (78 citations), Catalysis (45 citations), Numerical Analysis (32 citations), Industrial and Manufacturing Engineering (34 citations) and Statistical and Nonlinear Physics (41 citations). Can Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include C.W. Lim, Baisheng Wu, S.K. Lai, Qianwei Zeng, Guozhen Yang, Xu Chen, Yueliang Zhou, Zhipei Sun, Kui-juan Jin and Simon A. T. Redfern. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Journal of Catalysis, Optics Express, Chemistry of Materials and Nonlinear Analysis Real World Applications.

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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