Lichao Sun
Impact in
- Artificial Intelligence top 0.5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Adversarial Robustness in Machine Learning
- Topic Modeling
- Stochastic Gradient Optimization Techniques
- Health Informatics top 1%
Papers in
-
- Privacy-Preserving Technologies in Data 24
- Topic Modeling 19
- Adversarial Robustness in Machine Learning 19
- Advanced Graph Neural Networks 11
- Natural Language Processing Techniques 9
- Cryptography and Data Security 6
- Co-authors
- Philip S. Yu (30 shared papers)Lingjuan Lyu (7 shared papers)Witawas Srisa‐an (6 shared papers)Lifang He (17 shared papers)Zhiqiang Li (3 shared papers)Seyit Camtepe (1 shared paper)Chandra Thapa (1 shared paper)Congying Xia (4 shared papers)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (6 papers)IEEE Transactions on Industrial Informatics (4 papers)ACM Transactions on Intelligent Systems and Technology (3 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)ACM Computing Surveys (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Lichao Sun
93 papers receiving 4.1k citations
Lichao Sun's Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 2.6k
- Health Informatics 94
- Signal Processing 758
- Software 216
- Information Systems 851
Countries citing papers authored by Lichao Sun
This map shows the geographic impact of Lichao Sun'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 Lichao Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lichao Sun more than expected).
Fields of papers citing papers by Lichao Sun
This network shows the impact of papers produced by Lichao Sun. 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 Lichao Sun. The network helps show where Lichao Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Lichao Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Significant Permission Identification for Machine-Learning-Based Android Malware Detection Hit paper breakdown → | 2018 | 482 |
| 2 | SplitFed: When Federated Learning Meets Split Learning Hit paper breakdown → | 2022 | 375 |
| 3 | Membership Inference Attacks on Machine Learning: A Survey Hit paper breakdown → | 2022 | 300 |
| 4 | Privacy and Robustness in Federated Learning: Attacks and Defenses Hit paper breakdown → | 2022 | 296 |
| 5 | A Survey on Text Classification: From Traditional to Deep Learning Hit paper breakdown → | 2022 | 270 |
| 6 | A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT Hit paper breakdown → | 2024 | 206 |
| 7 | User Preference-aware Fake News Detection Hit paper breakdown → | 2021 | 177 |
| 8 | LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy Hit paper breakdown → | 2021 | 164 |
| 9 | 2022 | 130 | |
| 10 | Decentralized Federated Learning: A Survey and Perspective Hit paper breakdown → | 2024 | 107 |
| 11 | MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation Hit paper breakdown → | 2024 | 97 |
| 12 | 2022 | 82 | |
| 13 | 2021 | 78 | |
| 14 | 2019 | 76 | |
| 15 | A Survey of AI-Generated Content (AIGC) Hit paper breakdown → | 2024 | 66 |
| 16 | Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Hit paper breakdown → | 2024 | 66 |
| 17 | 2021 | 66 | |
| 18 | 2017 | 64 | |
| 19 | 2021 | 62 | |
| 20 | 2022 | 61 |
About Lichao Sun
Lichao Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics and Signal Processing, having authored 108 papers that have together received 4.2k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (24 papers), Topic Modeling (19 papers), Adversarial Robustness in Machine Learning (19 papers), Advanced Graph Neural Networks (11 papers), Complex Network Analysis Techniques (10 papers), Advanced Malware Detection Techniques (10 papers), Natural Language Processing Techniques (9 papers) and Cryptography and Data Security (6 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Health Informatics (94 citations), Signal Processing (758 citations), Software (216 citations) and Information Systems (851 citations). Lichao Sun has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Philip S. Yu, Lingjuan Lyu, Witawas Srisa‐an, Lifang He, Zhiqiang Li, Seyit Camtepe, Chandra Thapa, Congying Xia, Jin Li and Heng Ye. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Informatics, ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Knowledge and Data Engineering and ACM Computing Surveys.
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.