Jiawei Shao

103 total papers · 1.5k total citations
43 papers, 854 citations indexed

About

Jiawei Shao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Jiawei Shao has authored 43 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Jiawei Shao's work include Privacy-Preserving Technologies in Data (9 papers), IoT and Edge/Fog Computing (5 papers) and Advanced Thermodynamics and Statistical Mechanics (5 papers). Jiawei Shao is often cited by papers focused on Privacy-Preserving Technologies in Data (9 papers), IoT and Edge/Fog Computing (5 papers) and Advanced Thermodynamics and Statistical Mechanics (5 papers). Jiawei Shao collaborates with scholars based in China, Hong Kong and United States. Jiawei Shao's co-authors include Jun Zhang, Yuyi Mao, Xinjie Zhang, Fangzhao Wu, Jessie Hui Wang, Haowei Zhang, Khaled B. Letaief, Yifei Shen, Dongsheng Li and Hao Pan and has published in prestigious journals such as Nature Communications, Energy Conversion and Management and IEEE Communications Magazine.

In The Last Decade

Jiawei Shao

39 papers receiving 837 citations

Hit Papers

Learning Task-Oriented Co... 2021 2026 2022 2024 2021 2024 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Jiawei Shao 358 286 217 154 81 43 854
Azalia Mirhoseini 309 0.9× 177 0.6× 474 2.2× 173 1.1× 49 0.6× 42 947
Lu Wang 242 0.7× 263 0.9× 280 1.3× 58 0.4× 103 1.3× 34 891
Ping Zhao 516 1.4× 295 1.0× 291 1.3× 77 0.5× 141 1.7× 63 965
Zhihao Qu 651 1.8× 316 1.1× 214 1.0× 95 0.6× 166 2.0× 61 966
Jie Liu 179 0.5× 483 1.7× 189 0.9× 163 1.1× 269 3.3× 45 862
Zhuo Li 172 0.5× 318 1.1× 354 1.6× 53 0.3× 128 1.6× 61 798
Yang Yang 325 0.9× 412 1.4× 246 1.1× 68 0.4× 79 1.0× 88 821
Smaïl Niar 215 0.6× 235 0.8× 254 1.2× 106 0.7× 37 0.5× 85 930
Cem Tekin 302 0.8× 415 1.5× 319 1.5× 63 0.4× 140 1.7× 64 858
Thi-Kien Dao 331 0.9× 348 1.2× 323 1.5× 123 0.8× 34 0.4× 48 868

Countries citing papers authored by Jiawei Shao

Since Specialization
Citations

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

Fields of papers citing papers by Jiawei Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiawei Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Jiawei Shao. A scholar is included among the top collaborators of Jiawei Shao 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 Jiawei Shao. Jiawei Shao 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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