Yangzihao Wang

1.3k total citations
10 papers, 453 citations indexed

About

Yangzihao Wang is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Yangzihao Wang has authored 10 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Hardware and Architecture and 7 papers in Artificial Intelligence. Recurrent topics in Yangzihao Wang's work include Graph Theory and Algorithms (8 papers), Parallel Computing and Optimization Techniques (7 papers) and Advanced Graph Neural Networks (7 papers). Yangzihao Wang is often cited by papers focused on Graph Theory and Algorithms (8 papers), Parallel Computing and Optimization Techniques (7 papers) and Advanced Graph Neural Networks (7 papers). Yangzihao Wang collaborates with scholars based in United States and China. Yangzihao Wang's co-authors include John D. Owens, Yuduo Wu, Yuechao Pan, Andrew Davidson, Carl Yang, Weitang Liu, Leyuan Wang and Bing He and has published in prestigious journals such as ACM SIGPLAN Notices.

In The Last Decade

Yangzihao Wang

10 papers receiving 435 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yangzihao Wang United States 8 346 210 205 174 130 10 453
Yuechao Pan United States 7 330 1.0× 199 0.9× 185 0.9× 166 1.0× 121 0.9× 7 423
Yuduo Wu United States 6 324 0.9× 197 0.9× 183 0.9× 159 0.9× 119 0.9× 6 416
Farzad Khorasani United States 9 275 0.8× 163 0.8× 204 1.0× 198 1.1× 126 1.0× 11 412
Carl Yang United States 10 215 0.6× 137 0.7× 150 0.7× 130 0.7× 56 0.4× 12 304
Keval Vora United States 13 552 1.6× 338 1.6× 213 1.0× 252 1.4× 263 2.0× 32 660
Laxman Dhulipala United States 13 289 0.8× 218 1.0× 146 0.7× 233 1.3× 94 0.7× 42 504
Zhijia Zhao United States 12 174 0.5× 208 1.0× 284 1.4× 239 1.4× 107 0.8× 43 498
Sreepathi Pai United States 13 230 0.7× 164 0.8× 453 2.2× 394 2.3× 216 1.7× 30 645
Rashid Kaleem United States 8 207 0.6× 114 0.5× 365 1.8× 352 2.0× 167 1.3× 8 552
Yinglong Xia United States 7 182 0.5× 113 0.5× 137 0.7× 156 0.9× 107 0.8× 14 318

Countries citing papers authored by Yangzihao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yangzihao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangzihao Wang

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

All Works

10 of 10 papers shown
1.
Wang, Yangzihao, et al.. (2017). Mini-Gunrock: A Lightweight Graph Analytics Framework on the GPU. 616–626. 1 indexed citations
2.
Pan, Yuechao, Yangzihao Wang, Yuduo Wu, Carl Yang, & John D. Owens. (2017). Multi-GPU Graph Analytics. 479–490. 34 indexed citations
3.
Wang, Yangzihao, Yuechao Pan, Andrew Davidson, et al.. (2017). Gunrock. 4(1). 1–49. 86 indexed citations
4.
Wang, Yangzihao, et al.. (2016). Gunrock. ACM SIGPLAN Notices. 51(8). 1–12. 38 indexed citations
5.
Wu, Yuduo, Yangzihao Wang, Yuechao Pan, Carl Yang, & John D. Owens. (2015). Performance Characterization of High-Level Programming Models for GPU Graph Analytics. 66–75. 15 indexed citations
6.
Wang, Yangzihao, et al.. (2015). Gunrock: a high-performance graph processing library on the GPU. ACM SIGPLAN Notices. 50(8). 265–266. 45 indexed citations
7.
Yang, Carl, Yangzihao Wang, & John D. Owens. (2015). Fast Sparse Matrix and Sparse Vector Multiplication Algorithm on the GPU. 22 indexed citations
8.
Wang, Yangzihao, et al.. (2015). Gunrock: a high-performance graph processing library on the GPU. 265–266. 198 indexed citations
9.
Wang, Yangzihao, et al.. (2014). WTF, GPU! computing twitter's who-to-follow on the GPU. 63–68. 9 indexed citations
10.
He, Bing, et al.. (2009). An improved method of continuous collision detection using ellipsoids. 31. 2280–2286. 5 indexed citations

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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