Tongqi Wen

2.7k citations
40 papers · 2.2k indexed · 2 hit papers · h-index 21
Topics
Machine Learning in Materials Science (13 papers)Advanced materials and composites (13 papers)High Entropy Alloys Studies (10 papers)

In The Last Decade

Tongqi Wen

37 papers receiving 2.1k citations

Hit Papers

First-principles study, fabrication and characterization ...201820262020202320192018100200300400

Peers

Tongqi Wen
Comparison fields: 5 of 58
  • Mechanical Engineering 1.7k
  • Materials Chemistry 939
  • Aerospace Engineering 704
  • Mechanics of Materials 475
  • Ceramics and Composites 299
Replace Patrick R. Cantwell with:
Patrick R. Cantwell United States
Yeqiang Bu China
V.T. Witusiewicz Germany
Amanda R. Krause United States
Q. Wang China
U. Hecht Germany
Hongxiang Zong China
Zhenmin Du China
De-Ye Lin China
Chongze Hu United States
Tongqi Wen relative to Patrick R. Cantwell United States Patrick R. Cantwell's profile →
Citations per field
00.5×3.2×
Patrick R. Cantwell · 1×
Citations per year

Countries citing papers authored by Tongqi Wen

Since Specialization
Citations

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

Fields of papers citing papers by Tongqi Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tongqi Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Tongqi Wen. A scholar is included among the top collaborators of Tongqi Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tongqi Wen. Tongqi Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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First-principles study, fabrication and characterization of (Zr0.25Nb0.25Ti0.25V0.25)C high-entropy ceramicsbreakdown →
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About Tongqi Wen

Tongqi Wen is a scholar working on Ceramics and Composites, Mechanical Engineering and Materials Chemistry, having authored 40 papers that have together received 2.2k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (13 papers), Advanced materials and composites (13 papers) and High Entropy Alloys Studies (10 papers). The work is most often cited by research in Ceramics and Composites (299 citations), Mechanical Engineering (1.7k citations) and Aerospace Engineering (704 citations). Tongqi Wen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Beilin Ye, Yanhui Chu, Cai‐Zhuang Wang, Da Liu, Manh Cuong Nguyen, Luyao Hao, David J. Srolovitz, Handong Wang, Linfeng Zhang and Shanshan Ning. Their work appears in journals such as Journal of Applied Physics, Acta Materialia and Scientific Reports.

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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