Long Wan

84 papers and 3.1k indexed citations i.

About

Long Wan is a scholar working on Mechanical Engineering, Aerospace Engineering and Materials Chemistry. According to data from OpenAlex, Long Wan has authored 84 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Mechanical Engineering, 22 papers in Aerospace Engineering and 22 papers in Materials Chemistry. Recurrent topics in Long Wan’s work include Aluminum Alloys Composites Properties (49 papers), Advanced Welding Techniques Analysis (47 papers) and Aluminum Alloy Microstructure Properties (20 papers). Long Wan is often cited by papers focused on Aluminum Alloys Composites Properties (49 papers), Advanced Welding Techniques Analysis (47 papers) and Aluminum Alloy Microstructure Properties (20 papers). Long Wan collaborates with scholars based in China, Germany and Hong Kong. Long Wan's co-authors include Yongxian Huang, Xiangchen Meng, Yuming Xie, Jicai Feng, Junchen Li, Shixiong Lv, Zongliang Lv, Dongxin Mao, Jian Cao and Zhiwei Qin and has published in prestigious journals such as Carbon, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Co-authorship network of co-authors of Long Wan i

Fields of papers citing papers by Long Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Wan

Since Specialization
Citations

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

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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2025