Hai Zhao

379 total papers · 3.3k total citations
172 papers, 1.9k citations indexed

About

Hai Zhao is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Hai Zhao has authored 172 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Artificial Intelligence, 35 papers in Computer Networks and Communications and 34 papers in Electrical and Electronic Engineering. Recurrent topics in Hai Zhao's work include Topic Modeling (42 papers), Natural Language Processing Techniques (42 papers) and Vehicular Ad Hoc Networks (VANETs) (12 papers). Hai Zhao is often cited by papers focused on Topic Modeling (42 papers), Natural Language Processing Techniques (42 papers) and Vehicular Ad Hoc Networks (VANETs) (12 papers). Hai Zhao collaborates with scholars based in China, Canada and United States. Hai Zhao's co-authors include Yuanguo Bi, Xuemin Shen, Chunyu Kit, Zhuosheng Zhang, Lin Cai, Atsuo Kawamura, Bao‐Liang Lu, Ying Luo, Ning Wang and Hangguan Shan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Hazardous Materials.

In The Last Decade

Hai Zhao

148 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Hai Zhao 903 584 564 254 161 172 1.9k
Haibo Zhang 507 0.6× 670 1.1× 933 1.7× 343 1.4× 205 1.3× 272 2.7k
Xiaoyu Ji 804 0.9× 488 0.8× 512 0.9× 350 1.4× 194 1.2× 185 2.2k
Ravi Sankar 756 0.8× 666 1.1× 1.1k 2.0× 325 1.3× 178 1.1× 171 2.9k
Julio Ortega 1.4k 1.5× 363 0.6× 447 0.8× 246 1.0× 301 1.9× 133 2.5k
Zeng Zeng 501 0.6× 320 0.5× 478 0.8× 395 1.6× 234 1.5× 150 2.2k
Piyush Kumar Shukla 835 0.9× 339 0.6× 591 1.0× 500 2.0× 109 0.7× 180 2.8k
Jian Yuan 613 0.7× 804 1.4× 987 1.8× 317 1.2× 92 0.6× 159 2.4k
Zhaoquan Gu 759 0.8× 355 0.6× 572 1.0× 527 2.1× 91 0.6× 163 2.1k
Atta Rahman 741 0.8× 316 0.5× 529 0.9× 324 1.3× 74 0.5× 163 2.4k
Shi Dong 881 1.0× 351 0.6× 938 1.7× 313 1.2× 154 1.0× 105 2.4k

Countries citing papers authored by Hai Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Hai Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Zhao

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