Juan Zhai

2.2k citations
56 papers · 1.2k indexed · 1 hit paper · h-index 16
Topics
Software Testing and Debugging Techniques (16 papers)Advanced Malware Detection Techniques (10 papers)Adversarial Robustness in Machine Learning (7 papers)

In The Last Decade

Juan Zhai

47 papers receiving 1.2k citations

Hit Papers

Trojaning Attack on Neural Networks20182026202020232018200400600

Peers

Juan Zhai
Comparison fields: 5 of 101
  • Artificial Intelligence 757
  • Signal Processing 297
  • Information Systems 225
  • Computer Networks and Communications 198
  • Computer Vision and Pattern Recognition 176
Replace S. Karthikeyan with:
S. Karthikeyan United States
Na Meng United States
Olivier Pereira Belgium
Zihao Ye China
Christopher Stewart United States
Xinyu Wang China
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Citations per field
00.5×1.5×1.8×
S. Karthikeyan · 1×
Citations per year

Countries citing papers authored by Juan Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Juan Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Zhai

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Zhai. A scholar is included among the top collaborators of Juan Zhai 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 Juan Zhai. Juan Zhai 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 0
2 2
3 0
4 9
5 0
6 0
7 7
8 1
9 0
10 8
11 2
12 0
13 12
14 9
15 1
16
{ELISE}: A Storage Efficient Logging System Powered by Redundancy Reduction and Representation Learning
4
17 1
18 31
19
Biomass Modeling of Different Grassland Types Based on NDVI in Tibet
3
20 6

About Juan Zhai

Juan Zhai is a scholar working on Software, Signal Processing and Hardware and Architecture, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (16 papers), Advanced Malware Detection Techniques (10 papers) and Adversarial Robustness in Machine Learning (7 papers). The work is most often cited by research in Software (153 citations), Signal Processing (297 citations) and Artificial Intelligence (757 citations). Juan Zhai has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Shiqing Ma, Xiangyu Zhang, Yousra Aafer, Wen‐Chuan Lee, Yingqi Liu, Weihang Wang, Xiangyu Zhang, Zhenting Wang, Chao Shen and Tom O. Abney. Their work appears in journals such as The Science of The Total Environment, ACM Computing Surveys and Biology of Reproduction.

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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