Lingyun Wei

31 papers receiving 604 citations

Peers

Lingyun Wei
Comparison fields: 5 of 81
  • Automotive Engineering 134
  • Renewable Energy, Sustainability and the Environment 178
  • Metals and Alloys 26
  • Energy Engineering and Power Technology 17
  • Computational Theory and Mathematics 79
Replace Qingkui Li with:
Qingkui Li China
Fangyuan Li China
Haiying Dong China
Zhongwen Li China
Rakesh Kumar Phanden India
Guangyu Zhu China
Lei Peng China
Yufeng Li China
Zhen-Zhe Li China
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Lingyun Wei relative to Qingkui Li China Qingkui Li's profile →
Citations per field
00.5×4.3×
Qingkui Li · 1×
Citations per year

Countries citing papers authored by Lingyun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Lingyun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006253
2 201063
3 201261
4 201260
5 200460
6 202245
7 202418
8 20199
9
Investigating correlations of microstructures, mechanical properties and FSW process variables in friction stir welded high strength low alloy 65 steel
20096
10 20235
11 20244
12 20074
13 20244
14 20164
15
Study on distributed parallel computing on hybrid genetic algo-rithm
20113
16 20163
17 20183
18 20043
19 20152
20 20232

About Lingyun Wei

Lingyun Wei is a scholar working on Management Information Systems, Electrical and Electronic Engineering, Strategy and Management, Mechanical Engineering and Materials Chemistry, having authored 37 papers that have together received 630 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (8 papers), Advanced Queuing Theory Analysis (4 papers), Sustainable Supply Chain Management (4 papers), Welding Techniques and Residual Stresses (3 papers), Advanced Welding Techniques Analysis (3 papers), Electronic Packaging and Soldering Technologies (3 papers), Transportation Planning and Optimization (2 papers) and Catalytic Processes in Materials Science (2 papers). The work is most often cited by research in Automotive Engineering (134 citations), Renewable Energy, Sustainability and the Environment (178 citations), Metals and Alloys (26 citations), Energy Engineering and Power Technology (17 citations) and Computational Theory and Mathematics (79 citations). Lingyun Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Cao Guang-yi, Zhu Xin-jian, Tracy W. Nelson, Mei Zhao, Carl D. Sorensen, Majid Abbasi, Tangfeng Lv, Jie Yin, Juan Ni and Hongbing Liu. Their work appears in journals such as Materials Science and Engineering A, Translational Lung Cancer Research, Materials Characterization, International Journal of Energy Research and Journal of Experimental & Clinical Cancer Research.

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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