Shaojun Zhao

12 total papers · 494 total citations
9 papers, 299 citations indexed

About

Shaojun Zhao is a scholar working on Artificial Intelligence, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Shaojun Zhao has authored 9 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Mechanical Engineering and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Shaojun Zhao's work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Powder Metallurgy Techniques and Materials (2 papers). Shaojun Zhao is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Powder Metallurgy Techniques and Materials (2 papers). Shaojun Zhao collaborates with scholars based in China, United States and Canada. Shaojun Zhao's co-authors include Dekang Lin, Ming Zhou, Chongbin Wei, Haibin Wang, Xiaoyan Song, Yang Gao, Junjian Fu, Daniel Gildea, Benjamin Van Durme and Marius Paşca and has published in prestigious journals such as Materials Science and Engineering A, IEEE Journal of Emerging and Selected Topics in Power Electronics and Empirical Methods in Natural Language Processing.

In The Last Decade

Shaojun Zhao

8 papers receiving 270 citations

Author Peers

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

Author Last Decade Papers Cites
Shaojun Zhao 206 80 61 30 26 9 299
Shuang Zeng 210 1.0× 18 0.2× 28 0.5× 25 1.0× 13 344
Ziye Wang 111 0.5× 50 0.6× 64 1.0× 12 0.5× 14 218
Guoyin Li 22 0.1× 63 0.8× 22 0.4× 3 0.1× 1 0.0× 12 313
Yingfei Xiang 107 0.5× 13 0.2× 43 0.7× 24 0.9× 8 230
Mengqiu Hu 71 0.3× 18 0.2× 6 0.1× 21 0.7× 4 0.2× 12 318
Jingming Liu 132 0.6× 18 0.2× 68 1.1× 8 0.3× 7 232
Anuj Kumar 14 0.1× 167 2.1× 1 0.0× 60 2.0× 17 0.7× 11 356
Luis Ortiz 21 0.1× 20 0.3× 54 0.9× 3 0.1× 7 292
Won-Seok Song 24 0.1× 14 0.2× 3 0.0× 2 0.1× 51 2.0× 14 350
Tianxiao Shen 186 0.9× 16 0.2× 4 0.1× 11 0.4× 8 257

Countries citing papers authored by Shaojun Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojun Zhao

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