Hai Zhao

3.3k citations
174 papers · 2.0k indexed · h-index 23
Topics
Topic Modeling (42 papers)Natural Language Processing Techniques (42 papers)Vehicular Ad Hoc Networks (VANETs) (12 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaJournal of Hazardous Materials
Partner nations
ChinaCanadaUnited States

In The Last Decade

Hai Zhao

148 papers receiving 1.9k citations

Peers

Hai Zhao
Comparison fields: 5 of 144
  • Artificial Intelligence 910
  • Electrical and Electronic Engineering 588
  • Computer Networks and Communications 573
  • Computer Vision and Pattern Recognition 257
  • Control and Systems Engineering 162
Replace Ridha Hamila with:
Ridha Hamila Qatar
K. Venkatachalam Czechia
Farhan Aadil Pakistan
Yanping Chen China
Fuad A. Ghaleb Malaysia
Zhiwen Zeng China
Simone A. Ludwig United States
Jun Liang China
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Hai Zhao relative to Ridha Hamila Qatar Ridha Hamila's profile →
Citations per field
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Ridha Hamila · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
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[Assessment on the criminal responsibility of drug-induced mental disorders: a questionnaire survey].
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14 2
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Chinese Coreference Resolution via Ordered Filtering
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Multiple Strategies for NTCIR-8 Patent Mining at BCMI.
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18
Chinese Word Segmentation: A Decade Review
85
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Which Is Essential for Chinese Word Segmentation: Character versus Word
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20
Design and Implementation of General RTU Based on Embedded Internet
0

About Hai Zhao

Hai Zhao is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 174 papers that have together received 2.0k indexed citations. Recurring topics across this work include Topic Modeling (42 papers), Natural Language Processing Techniques (42 papers) and Vehicular Ad Hoc Networks (VANETs) (12 papers). The work is most often cited by research in Artificial Intelligence (910 citations), Computer Networks and Communications (573 citations) and Computer Vision and Pattern Recognition (257 citations). Hai Zhao has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yuanguo Bi, Xuemin Shen, Chunyu Kit, Zhuosheng Zhang, Lin Cai, Atsuo Kawamura, Bao‐Liang Lu, Hangguan Shan, Ning Wang and Ying Luo. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Hazardous Materials.

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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