Hanlin Gu

462 citations
18 papers · 191 · h-index 6

Impact in

    • Privacy-Preserving Technologies in Data
    • Cryptography and Data Security
    • Adversarial Robustness in Machine Learning
    • Internet Traffic Analysis and Secure E-voting
    • Stochastic Gradient Optimization Techniques

Papers in

    • Privacy-Preserving Technologies in Data 10
    • Stochastic Gradient Optimization Techniques 4
    • Cryptography and Data Security 3
    • Adversarial Robustness in Machine Learning 2
    • Recommender Systems and Techniques 3

Hanlin Gu

15 papers receiving 188 citations

Peers

Hanlin Gu
Comparison fields: 5 of 56
  • Artificial Intelligence 120
  • Information Systems 29
  • Computer Science Applications 7
  • Computer Vision and Pattern Recognition 21
  • Health Informatics 1
Replace Joanna Biega with:
Joanna Biega Germany
Yunqing Liu China
Cécile Bothorel France
Chengyao Chen Hong Kong
Nazanin Alipourfard United States
Hengtong Zhang United States
Niraj Aswani United Kingdom
Leonhard Hennig Germany
Daoud Clarke United Kingdom
Deming Ye China
Hanlin Gu relative to Joanna Biega Germany Joanna Biega's profile →
Citations per field
00.5×10×15×19.3×
Joanna Biega · 1×
Citations per year

Countries citing papers authored by Hanlin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Hanlin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hanlin Gu, 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 Hanlin Gu Line = papers co-authored together Hanlin Gu links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202252
2 201845
3 202240
4 202418
5 20238
6 20248
7 20215
8 20243
9 20252
10 20252
11 20232
12 20252
13 20251
14 20251
15 20251
16 20241
17 20250
18 20240

About Hanlin Gu

Hanlin Gu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Molecular Biology and Spectroscopy, having authored 18 papers that have together received 191 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (10 papers), Stochastic Gradient Optimization Techniques (4 papers), Cryptography and Data Security (3 papers), Recommender Systems and Techniques (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Enzyme Structure and Function (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Artificial Intelligence (120 citations), Information Systems (29 citations), Computer Science Applications (7 citations), Computer Vision and Pattern Recognition (21 citations) and Health Informatics (1 citation). Hanlin Gu has collaborated with scholars based in Hong Kong, China and Portugal. Frequent co-authors include Lixin Fan, Qiang Yang, Jie Li, Wei Wang, Xuhui Huang, Kai Chen, Junhui Peng, Zhan Qin, Yan Kang and Wenyuan Yang. Their work appears in journals such as ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Dependable and Secure Computing, ACM Transactions on Information Systems and Physical Chemistry Chemical Physics.

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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