Leo Yu Zhang

4.8k citations
172 papers · 3.0k indexed · 1 hit paper · h-index 28
Topics
Chaos-based Image/Signal Encryption (35 papers)Adversarial Robustness in Machine Learning (34 papers)Advanced Steganography and Watermarking Techniques (28 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsCancer Research
Partner nations
ChinaAustraliaHong Kong

In The Last Decade

Leo Yu Zhang

149 papers receiving 3.0k citations

Hit Papers

Data-Driven Cybersecurity Incident Prediction: A Survey2018202620202023201850100150200

Peers

Leo Yu Zhang
Comparison fields: 5 of 126
  • Computer Vision and Pattern Recognition 1.7k
  • Artificial Intelligence 1.1k
  • Information Systems 431
  • Computer Networks and Communications 366
  • Computational Mechanics 366
Replace Tao Xiang with:
Tao Xiang China
Hai Yu China
Sewoong Oh United States
Ching‐Nung Yang Taiwan
Guodong Ye China
S. Muthukrishnan United States
Jigang Wu China
Sanjeev R. Kulkarni United States
Leo Yu Zhang relative to Tao Xiang China Tao Xiang's profile →
Citations per field
00.5×1.5×2.3×
Tao Xiang · 1×
Citations per year

Countries citing papers authored by Leo Yu Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Leo Yu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leo Yu Zhang. 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 Leo Yu Zhang. The network helps show where Leo Yu Zhang may publish in the future.

Co-authorship network of co-authors of Leo Yu Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Leo Yu Zhang. A scholar is included among the top collaborators of Leo Yu Zhang 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 Leo Yu Zhang. Leo Yu Zhang 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 1
2 1
3 6
4 0
5 9
6 4
7 1
8 6
9 0
10 3
11 8
12 6
13 7
14 25
15 29
16 25
17 32
18 102
19 63
20 26

About Leo Yu Zhang

Leo Yu Zhang is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 172 papers that have together received 3.0k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (35 papers), Adversarial Robustness in Machine Learning (34 papers) and Advanced Steganography and Watermarking Techniques (28 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Acoustics and Ultrasonics (48 citations) and Artificial Intelligence (1.1k citations). Leo Yu Zhang has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Yushu Zhang, Kwok‐Wo Wong, Yuansheng Liu, Jiantao Zhou, Yong Wang, Chengqing Li, Yong Xiang, Junxin Chen, Jun Zhang and Shengshan Hu. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Cancer Research.

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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