Yao Cheng

510 total citations · 1 hit paper
9 papers, 340 citations indexed

About

Yao Cheng is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yao Cheng has authored 9 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Civil and Structural Engineering, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Yao Cheng's work include Advanced Malware Detection Techniques (2 papers), Geotechnical Engineering and Soil Mechanics (1 paper) and Geotechnical Engineering and Underground Structures (1 paper). Yao Cheng is often cited by papers focused on Advanced Malware Detection Techniques (2 papers), Geotechnical Engineering and Soil Mechanics (1 paper) and Geotechnical Engineering and Underground Structures (1 paper). Yao Cheng collaborates with scholars based in China, United States and Taiwan. Yao Cheng's co-authors include Chengcheng Xu, Rundong Zhou, Heng Yin, Feng Qian, W. J. Elliot, Jun Zhao, D. K. McCool, S. Chen, Xin Kang and Louis Ge and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Transactions of the ASABE.

In The Last Decade

Yao Cheng

9 papers receiving 320 citations

Hit Papers

Scalable Graph-based Bug Search for Firmware Images 2016 2026 2019 2022 2016 50 100 150 200 250

Peers

Yao Cheng
Comparison fields: 5 of 43
  • Signal Processing 211
  • Information Systems 186
  • Software 123
  • Artificial Intelligence 98
  • Computer Networks and Communications 76
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Citations per field, relative to Yao Cheng
Yao Cheng · 1×
Citations per year, relative to Yao Cheng
Yao Cheng · 1×

Countries citing papers authored by Yao Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yao Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Cheng

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 2
2 1
3 1
4 13
5
A multi-level stress test methodology: application to six critical infrastructures in Europe
2
6
Scalable Graph-based Bug Search for Firmware Images breakdown →
265
7
An Anti-Obfuscation Method for Detecting Similarity Among Android Applications in Large Scale
3
8 16
9 37

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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