Chenhao Lin

1.5k citations
55 papers · 855 · 1 hit paper · h-index 12

Impact in

Papers in

Chenhao Lin

43 papers receiving 825 citations

Chenhao Lin's Hit Papers

LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection 2024 · 52 citations
520+1Years since publication1020304050

Peers

Chenhao Lin
Comparison fields: 5 of 80
  • Signal Processing 309
  • Computer Vision and Pattern Recognition 430
  • Applied Psychology 52
  • Safety Research 81
  • Artificial Intelligence 274
Replace Saiyed Umer with:
Saiyed Umer India
Gil Levi Israel
Saurabh Singh India
Seongsoo Lee South Korea
Padma Polash Paul Canada
Ben Zhang China
Akshay Agarwal India
Annalisa Franco Italy
Mohammad Haseeb Zafar Pakistan
José Luis Alba‐Castro Spain
Chenhao Lin relative to Saiyed Umer India Saiyed Umer's profile →
Citations per field
00.5×10×17.3×
Saiyed Umer · 1×
Citations per year

Countries citing papers authored by Chenhao Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chenhao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chenhao Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chenhao Lin Line = papers co-authored together Chenhao Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020126
2 2020108
3 2018100
4 201873
5 202069
6 201866
7
LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection
Hit paper breakdown →
202452
8 202336
9 201736
10 202317
11 201717
12 202115
13 201611
14 202411
15 202410
16 20229
17 20209
18 20249
19 20248
20 20248

About Chenhao Lin

Chenhao Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering and Information Systems, having authored 55 papers that have together received 855 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (23 papers), Biometric Identification and Security (7 papers), Face recognition and analysis (6 papers), User Authentication and Security Systems (6 papers), Anomaly Detection Techniques and Applications (5 papers), Advanced Malware Detection Techniques (5 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Signal Processing (309 citations), Computer Vision and Pattern Recognition (430 citations), Applied Psychology (52 citations), Safety Research (81 citations) and Artificial Intelligence (274 citations). Chenhao Lin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ajay Kumar, Wayne Zhang, Chao Shen, Xiaoyu Yue, Zhanghui Kuang, Hongbin Sun, Hui Su, Pengwei Hu, Jing Mei and Henry W. C. Leung. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing, ACM Computing Surveys, Science China Information Sciences and Structures.

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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