Yuwei Hu

23 total papers · 1.9k total citations
12 papers, 847 citations indexed

About

Yuwei Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Yuwei Hu has authored 12 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Yuwei Hu's work include Advanced Neural Network Applications (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Image and Signal Denoising Methods (3 papers). Yuwei Hu is often cited by papers focused on Advanced Neural Network Applications (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Image and Signal Denoising Methods (3 papers). Yuwei Hu collaborates with scholars based in United States and China. Yuwei Hu's co-authors include Zhiru Zhang, Tianqi Chen, Luís Ceze, Meghan Cowan, Arvind Krishnamurthy, Thierry Moreau, Haichen Shen, Lianmin Zheng, Eddie Yan and Leyuan Wang and has published in prestigious journals such as IEEE Access, Operating Systems Design and Implementation and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Yuwei Hu

12 papers receiving 820 citations

Hit Papers

TVM: an automated end-to-... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yuwei Hu 457 338 336 230 213 12 847
Ziheng Jiang 404 0.9× 227 0.7× 381 1.1× 167 0.7× 144 0.7× 24 894
Hardik Sharma 492 1.1× 282 0.8× 363 1.1× 516 2.2× 137 0.6× 13 911
Shengen Yan 493 1.1× 370 1.1× 252 0.8× 330 1.4× 285 1.3× 32 943
Ananda Samajdar 421 0.9× 360 1.1× 286 0.9× 539 2.3× 206 1.0× 17 924
Jia Wang 597 1.3× 275 0.8× 335 1.0× 579 2.5× 222 1.0× 15 1.0k
Debbie Marr 472 1.0× 299 0.9× 351 1.0× 480 2.1× 191 0.9× 17 983
Robert Adolf 294 0.6× 345 1.0× 226 0.7× 426 1.9× 190 0.9× 11 780
Jason Clemons 297 0.6× 265 0.8× 161 0.5× 415 1.8× 169 0.8× 21 741
Scott Gray 477 1.0× 141 0.4× 245 0.7× 438 1.9× 62 0.3× 9 904
Zhihao Jia 293 0.6× 175 0.5× 401 1.2× 80 0.3× 189 0.9× 34 717

Countries citing papers authored by Yuwei Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yuwei Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuwei Hu

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

All Works

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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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