Tie Wang

98 papers and 849 indexed citations i.

About

Tie Wang is a scholar working on Mechanical Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Tie Wang has authored 98 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Mechanical Engineering, 22 papers in Control and Systems Engineering and 21 papers in Automotive Engineering. Recurrent topics in Tie Wang’s work include Gear and Bearing Dynamics Analysis (21 papers), Advanced Combustion Engine Technologies (16 papers) and Machine Fault Diagnosis Techniques (9 papers). Tie Wang is often cited by papers focused on Gear and Bearing Dynamics Analysis (21 papers), Advanced Combustion Engine Technologies (16 papers) and Machine Fault Diagnosis Techniques (9 papers). Tie Wang collaborates with scholars based in China, United Kingdom and Italy. Tie Wang's co-authors include Fengshou Gu, Guoxing Li, Andrew Ball, Jinhong Shi, Reza Shadmehr, Xiuquan Sun, Yiquan Wang, Andrew D. Ball, Heng Wang and Yanzhong Wang and has published in prestigious journals such as Scientific Reports, Critical Care Medicine and Optics Express.

In The Last Decade

Co-authorship network of co-authors of Tie Wang i

Fields of papers citing papers by Tie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tie Wang

Since Specialization
Citations

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