Linkun Wang

22 papers receiving 326 citations

Peers

Linkun Wang
Comparison fields: 5 of 58
  • Renewable Energy, Sustainability and the Environment 169
  • Nuclear Energy and Engineering 2
  • Industrial and Manufacturing Engineering 32
  • Materials Chemistry 148
  • Electrical and Electronic Engineering 134
Replace Yilin Ge with:
Yilin Ge China
Changyu Chen China
Ruwen Chen China
Junyi Cui United Kingdom
Wending Zhou China
Weiguang Fang China
Cuili Chen China
Xiaojin Fu China
Zhiyuan Liu China
Juntao Li China
Linkun Wang relative to Yilin Ge China Yilin Ge's profile →
Citations per field
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Citations per year

Countries citing papers authored by Linkun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Linkun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Linkun 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 Linkun Wang Line = papers co-authored together Linkun Wang 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 2021105
2 202181
3 202154
4 200532
5 200515
6 200810
7 20239
8 20196
9 20055
10 20194
11
Study on energy efficiency evaluation method of ethylene cracking system in petrochemical enterprises
20163
12 20192
13 20192
14
Survey of Research on Robotic Visual Servoing
20042
15 20231
16
Adaptive Detection of Fabric Flaw Based on Statistical Information
20081
17 20251
18 20251
19 20221
20 20181

About Linkun Wang

Linkun Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Control and Systems Engineering, Computer Vision and Pattern Recognition and Polymers and Plastics, having authored 27 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Image Processing Techniques and Applications (2 papers), Welding Techniques and Residual Stresses (2 papers), Advanced Measurement and Detection Methods (2 papers), Circular RNAs in diseases (2 papers), Electronic and Structural Properties of Oxides (2 papers) and 2D Materials and Applications (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (169 citations), Nuclear Energy and Engineering (2 citations), Industrial and Manufacturing Engineering (32 citations), Materials Chemistry (148 citations) and Electrical and Electronic Engineering (134 citations). Linkun Wang has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Ying Wu, Yiming He, Huafeng Chen, Yi Li, Tiantian Wu, De Xu, Jieyu Yang, Qingle Zhang, Ziyu Li and Min Tan. Their work appears in journals such as Ultrasonics Sonochemistry, ACS Applied Materials & Interfaces, Journal of Physics D Applied Physics, Applied Physics Reviews and Journal of Rare Earths.

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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