Yanzhao Wu

1.6k total citations · 1 hit paper
48 papers, 689 citations indexed

About

Yanzhao Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yanzhao Wu has authored 48 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Yanzhao Wu's work include Adversarial Robustness in Machine Learning (17 papers), Advanced Neural Network Applications (10 papers) and Privacy-Preserving Technologies in Data (8 papers). Yanzhao Wu is often cited by papers focused on Adversarial Robustness in Machine Learning (17 papers), Advanced Neural Network Applications (10 papers) and Privacy-Preserving Technologies in Data (8 papers). Yanzhao Wu collaborates with scholars based in United States, China and Germany. Yanzhao Wu's co-authors include Ling Liu, Wenqi Wei, Ka-Ho Chow, M. Hadi Amini, Arun Iyengar, J. Alexander Bae, Jeffrey Svajlenko, Chanchal K. Roy, Yun Xu and Margaret L. Loper and has published in prestigious journals such as Nano Letters, Journal of Applied Physics and ACS Applied Materials & Interfaces.

In The Last Decade

Yanzhao Wu

45 papers receiving 667 citations

Hit Papers

Security and Privacy Challenges of Large Language Models:... 2025 2026 2025 20 40 60

Peers

Yanzhao Wu
Comparison fields: 5 of 92
  • Artificial Intelligence 387
  • Computer Vision and Pattern Recognition 143
  • Information Systems 142
  • Signal Processing 103
  • Software 68
Replace Maik Thiele with:
Maik Thiele Germany
Rong Zhou United States
Youssef Drissi Belgium
Koji Nakao Japan
Tao B. Schardl United States
Bin Yuan China
Gilad Katz Israel
Maik Thiele Germany View profile →
Citations per field, relative to Yanzhao Wu
Yanzhao Wu · 1×
Citations per year, relative to Yanzhao Wu
Yanzhao Wu · 1×

Countries citing papers authored by Yanzhao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yanzhao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanzhao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanzhao Wu. A scholar is included among the top collaborators of Yanzhao Wu 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 Yanzhao Wu. Yanzhao Wu 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
# Work Indexed citations
1 3
2 4
3 7
4 4
5 1
6 0
7 3
8 16
9 4
10 2
11 3
12 8
13 57
14 54
15 13
16 38
17 10
18
CCAligner: A Token Based Large-Gap Clone Detector
11
19
Equipment Condition Trend Prediction Based on Full Vector Least Squares Support Vector Machine
1
20
High Frequency Multi Reflection RCS and ISAR Simulation
2

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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