Zhiruo Zhao

515 citations
7 papers · 347 indexed · 1 hit paper · h-index 3
Topics
Recommender Systems and Techniques (2 papers)Anomaly Detection Techniques and Applications (2 papers)Advanced Bandit Algorithms Research (2 papers)
Journals
The Computer JournalMathematical Problems in EngineeringThe Florida AI Research Society
Partner nations
ChinaUnited States

In The Last Decade

Zhiruo Zhao

6 papers receiving 343 citations

Hit Papers

Semantics-Aware Android Malware Classification Using Weig...20142026201820222014100200300

Peers

Zhiruo Zhao
Comparison fields: 5 of 16
  • Signal Processing 328
  • Computer Networks and Communications 254
  • Information Systems 171
  • Software 171
  • Artificial Intelligence 51
Replace A. Sankara Narayanan with:
A. Sankara Narayanan Singapore
Leonid Batyuk Germany
Justin Sahs United States
Lucky Onwuzurike United Kingdom
Arvind Mahindru India
Mohammed K. Alzaylaee United Kingdom
Igor Muttik United Kingdom
Vitor Monte Afonso Brazil
Aristide Fattori Italy
Michael Gegick United States
Zhiruo Zhao relative to A. Sankara Narayanan Singapore A. Sankara Narayanan's profile →
Citations per field
00.5×6.1×
A. Sankara Narayanan · 1×
Citations per year

Countries citing papers authored by Zhiruo Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Zhiruo Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiruo Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiruo Zhao. A scholar is included among the top collaborators of Zhiruo 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 Zhiruo Zhao. Zhiruo Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 8
3 2
4 1
5
Ensemble Methods for Anomaly Detection
2
6
Adaptive sampling and learning for unsupervised outlier detection
2
7
Semantics-Aware Android Malware Classification Using Weighted Contextual API Dependency Graphsbreakdown →
332

About Zhiruo Zhao

Zhiruo Zhao is a scholar working on Software, Management Science and Operations Research and Artificial Intelligence, having authored 7 papers that have together received 347 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Advanced Bandit Algorithms Research (2 papers). The work is most often cited by research in Software (171 citations), Signal Processing (328 citations) and Computer Networks and Communications (254 citations). Zhiruo Zhao has collaborated with scholars based in China and United States. Frequent co-authors include Mu Zhang, Yue Duan, Heng Yin, Lei Cao, Chilukuri K. Mohan, Kishan G. Mehrotra and Jun Lai. Their work appears in journals such as The Computer Journal, Mathematical Problems in Engineering and The Florida AI Research Society.

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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