Dingwen Tao

2.8k citations
90 papers · 1.6k indexed · h-index 22

Dingwen Tao

84 papers receiving 1.6k citations

Peers

Dingwen Tao
Comparison fields: 5 of 73
  • Hardware and Architecture 688
  • Computer Networks and Communications 865
  • Computational Mathematics 22
  • Computer Graphics and Computer-Aided Design 94
  • Artificial Intelligence 737
Replace Xin Liang with:
Xin Liang United States
Sheng Di United States
Narayanan Sundaram United States
Duane Merrill United States
Uday Bondhugula India
Kevin Barker United States
Louis-Noël Pouchet United States
Shoaib Kamil United States
Shuaiwen Leon Song United States
Sara S. Baghsorkhi United States
Dingwen Tao relative to Xin Liang United States Xin Liang's profile →
Citations per field
00.5×1.5×2.5×
Xin Liang · 1×
Citations per year

Countries citing papers authored by Dingwen Tao

Since Specialization
Citations

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

Fields of papers citing papers by Dingwen Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20261
2 20251
3 20250
4 20251
5 20250
6 20251
7 20248
8 20244
9 202316
10 20235
11 20236
12 20231
13 20238
14 202286
15 202121
16 202012
17
ISM2: Optimizing Irregular-Shaped Matrix-Matrix Multiplication on GPUs
20203
18 201925
19 201822
20 20172

About Dingwen Tao

Dingwen Tao is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (44 papers), Advanced Data Storage Technologies (42 papers), Algorithms and Data Compression (35 papers), Advanced Data Compression Techniques (11 papers), Distributed systems and fault tolerance (11 papers), Distributed and Parallel Computing Systems (10 papers), Radiation Effects in Electronics (9 papers) and Interconnection Networks and Systems (7 papers). The work is most often cited by research in Hardware and Architecture (688 citations), Computer Networks and Communications (865 citations) and Computational Mathematics (22 citations). Dingwen Tao has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Franck Cappello, Zizhong Chen, Sheng Di, Xin Liang, Sihuan Li, Jiannan Tian, Kai Zhao, Hanqi Guo, Sheng Di and Sian Jin. Their work appears in journals such as IEEE Transactions on Computers, Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems.

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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