Binhai Zhu

2.4k citations
122 papers · 883 indexed · h-index 16
Topics
Computational Geometry and Mesh Generation (54 papers)Algorithms and Data Compression (27 papers)Data Management and Algorithms (24 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Binhai Zhu

112 papers receiving 842 citations

Peers

Binhai Zhu
Comparison fields: 5 of 108
  • Computer Graphics and Computer-Aided Design 322
  • Computer Vision and Pattern Recognition 182
  • Signal Processing 179
  • Artificial Intelligence 159
  • Molecular Biology 156
Replace Matthew J. Katz with:
Matthew J. Katz Israel
Jörg-Rüdiger Sack Canada
Carola Wenk United States
Klara Kedem Israel
David R. White United Kingdom
Siu-Wing Cheng Hong Kong
Der-Tsai Lee Taiwan
Steven Gold United States
Paweł Winter Denmark
Ki‐Ryong Kwon South Korea
Binhai Zhu relative to Matthew J. Katz Israel Matthew J. Katz's profile →
Citations per field
00.5×7.1×
Matthew J. Katz · 1×
Citations per year

Countries citing papers authored by Binhai Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Binhai Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binhai Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Binhai Zhu. A scholar is included among the top collaborators of Binhai Zhu 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 Binhai Zhu. Binhai Zhu 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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Some Formal Analysis of Roccio's Similarity-Based Relvance Feedback Algorithm
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17 25
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About Binhai Zhu

Binhai Zhu is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Vision and Pattern Recognition, having authored 122 papers that have together received 883 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (54 papers), Algorithms and Data Compression (27 papers) and Data Management and Algorithms (24 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (322 citations), Signal Processing (179 citations) and Computer Vision and Pattern Recognition (182 citations). Binhai Zhu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ernst P. Mücke, Minghui Jiang, Zhixiang Chen, Luc Devroye, Yinfeng Xu, Daming Zhu, Godfried Toussaint, Richard H. Fowler, Thomas C. Shermer and Prosenjit Bose. Their work appears in journals such as Bioinformatics, IEEE Access and BMC Bioinformatics.

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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