Tong Wen

404 citations
9 papers · 237 indexed · h-index 6
Topics
Parallel Computing and Optimization Techniques (8 papers)Interconnection Networks and Systems (3 papers)Advanced Numerical Methods in Computational Mathematics (3 papers)
Partner nations
United StatesIndia

In The Last Decade

Tong Wen

9 papers receiving 220 citations

Peers

Tong Wen
Comparison fields: 5 of 33
  • Hardware and Architecture 206
  • Computer Networks and Communications 205
  • Information Systems 77
  • Artificial Intelligence 19
  • Computer Vision and Pattern Recognition 14
Replace William W. Carlson with:
William W. Carlson United States
Jesse M. Draper United States
Judit Giménez Spain
Renaud Lachaize France
Justin Funston Canada
Kathryn O’Brien United States
Fabien Gaud Canada
Mark Gebhart United States
Andreas Knüpfer Germany
Khai Leong Yong Singapore
Tong Wen relative to William W. Carlson United States William W. Carlson's profile →
Citations per field
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William W. Carlson · 1×
Citations per year

Countries citing papers authored by Tong Wen

Since Specialization
Citations

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

Fields of papers citing papers by Tong Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Wen. A scholar is included among the top collaborators of Tong 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 Tong Wen. Tong Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 16
2 3
3 64
4 1
5 18
6 13
7 108
8
Compiler and Runtime Support for Scaling Adaptive Mesh Refinement Computations in Titanium
3
9 11

About Tong Wen

Tong Wen is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Mechanics, having authored 9 papers that have together received 237 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Interconnection Networks and Systems (3 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). The work is most often cited by research in Hardware and Architecture (206 citations), Computer Networks and Communications (205 citations) and Information Systems (77 citations). Tong Wen has collaborated with scholars based in United States and India. Frequent co-authors include Phillip Colella, Vijay Saraswat, Katherine Yelick, Guojing Cong, Sriram Krishnamoorthy, Doug Lea, Amir Kamil, Paul Hilfinger, Dan Bonachea and Jason Duell. Their work appears in journals such as ACM SIGPLAN Notices, European Journal Of Haematology and The International Journal of High Performance Computing Applications.

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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