Erzhou Zhu

629 citations
37 papers · 408 indexed · h-index 10
Topics
Advanced Clustering Algorithms Research (8 papers)Spam and Phishing Detection (7 papers)Cloud Computing and Resource Management (7 papers)
Partner nations
ChinaAustralia

In The Last Decade

Erzhou Zhu

34 papers receiving 385 citations

Peers

Erzhou Zhu
Comparison fields: 5 of 74
  • Information Systems 253
  • Artificial Intelligence 192
  • Computer Networks and Communications 121
  • Signal Processing 108
  • Sociology and Political Science 37
Replace Simone Raponi with:
Simone Raponi Qatar
Ja’far Alqatawna Jordan
D. P. Zegzhda Russia
Igor Saenko Russia
Fawzy A. Torkey Egypt
Ettore Ritacco Italy
Kyong-Ha Lee South Korea
Hoang Thanh Lam Ireland
Reza Farivar United States
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Erzhou Zhu relative to Simone Raponi Qatar Simone Raponi's profile →
Citations per field
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Simone Raponi · 1×
Citations per year

Countries citing papers authored by Erzhou Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Erzhou Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erzhou Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Erzhou Zhu. A scholar is included among the top collaborators of Erzhou 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 Erzhou Zhu. Erzhou 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
1 8
2 18
3 3
4 68
5
The Implementation of a Secret Information Hiding Framework Based on Hash Function and Invisible ASCII Characters Replacement
1
6 3
7 9
8 1
9 4
10 9
11 2
12 5
13
Research on Novel Ranking Algorithm of Microblog User's Influence Based on MapReduce
0
14 11
15 33
16 4
17 8
18 2
19 1
20 1

About Erzhou Zhu

Erzhou Zhu is a scholar working on Software, Information Systems and Hardware and Architecture, having authored 37 papers that have together received 408 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (8 papers), Spam and Phishing Detection (7 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Information Systems (253 citations), Signal Processing (108 citations) and Artificial Intelligence (192 citations). Erzhou Zhu has collaborated with scholars based in China and Australia. Frequent co-authors include Feng Liu, Ruhui Ma, Xuejun Li, Chengcheng Ye, Xianyong Fang, Yuyang Chen, Peng Wen, Xiao Liu, Hong Zhong and Futian Wang. Their work appears in journals such as IEEE Access, Neurocomputing and Applied Soft Computing.

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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