Lichao Sun

8.6k total citations · 10 hit papers
99 papers, 3.6k citations indexed

About

Lichao Sun is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lichao Sun has authored 99 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 14 papers in Information Systems and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lichao Sun's work include Privacy-Preserving Technologies in Data (23 papers), Topic Modeling (19 papers) and Adversarial Robustness in Machine Learning (19 papers). Lichao Sun is often cited by papers focused on Privacy-Preserving Technologies in Data (23 papers), Topic Modeling (19 papers) and Adversarial Robustness in Machine Learning (19 papers). Lichao Sun collaborates with scholars based in United States, China and Australia. Lichao Sun's co-authors include Philip S. Yu, Lingjuan Lyu, Lifang He, Seyit Camtepe, M.A.P. Chamikara, Chandra Thapa, Witawas Srisa‐an, Qiben Yan, Zhiqiang Li and Jin Li and has published in prestigious journals such as Sensors, ACM Computing Surveys and Composites Part A Applied Science and Manufacturing.

In The Last Decade

Lichao Sun

86 papers receiving 3.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Significant Permission Identification for Machine-Learning-Based Android Malware Detection

2018 421 citations Lichao Sun et al. IEEE Transactions on Industrial Informatics profile →
SplitFed: When Federated Learning Meets Split Learning

2022 337 citations Lichao Sun et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
Privacy and Robustness in Federated Learning: Attacks and Defenses

2022 264 citations Lingjuan Lyu, Lichao Sun et al. IEEE Transactions on Neural Networks and Learning Systems profile →
Membership Inference Attacks on Machine Learning: A Survey

2022 251 citations Lichao Sun, Philip S. Yu et al. ACM Computing Surveys profile →
A Survey on Text Classification: From Traditional to Deep Learning

2022 218 citations Qian Li, Hao Peng et al. ACM Transactions on Intelligent Systems and Technology profile →
A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT

2024 178 citations Qian Li, Chen Li et al. profile →
User Preference-aware Fake News Detection

2021 152 citations Kai Shu, Congying Xia et al. profile →
Decentralized Federated Learning: A Survey and Perspective

2024 88 citations Lichao Sun, Philip S. Yu et al. profile →
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation

2024 71 citations Zhiling Yan, Zhengliang Liu et al. profile →
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

2024 53 citations Zhiling Yan, Lichao Sun et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lichao Sun United States	28	2.3k	727	727	616	364	99	3.6k
Benjamin I. P. Rubinstein Australia	22	1.7k 0.7×	762 1.0×	465 0.6×	628 1.0×	162 0.4×	89	2.8k
Ge Yu China	30	1.6k 0.7×	1.1k 1.5×	721 1.0×	641 1.0×	189 0.5×	380	3.8k
Roberto J. Bayardo United States	23	2.6k 1.1×	1.1k 1.5×	2.3k 3.2×	1.1k 1.8×	391 1.1×	35	4.4k
Fang Liu China	30	1.2k 0.5×	1.4k 1.9×	1.2k 1.6×	284 0.5×	137 0.4×	162	3.3k
Seyit Camtepe Australia	31	1.6k 0.7×	1.9k 2.6×	967 1.3×	1.1k 1.8×	196 0.5×	119	3.7k
Qianmu Li China	27	1.0k 0.4×	919 1.3×	902 1.2×	275 0.4×	136 0.4×	222	2.5k
Meng Jiang United States	31	2.2k 1.0×	554 0.8×	1.2k 1.6×	206 0.3×	219 0.6×	127	3.5k
Qi Li China	38	3.0k 1.3×	2.6k 3.6×	1.8k 2.4×	1.7k 2.7×	292 0.8×	381	5.5k
Zheng Qin China	32	1.5k 0.6×	936 1.3×	848 1.2×	492 0.8×	94 0.3×	170	3.5k
Danfeng Yao United States	31	1.4k 0.6×	1.5k 2.1×	1.3k 1.8×	1.6k 2.6×	245 0.7×	139	3.2k

Countries citing papers authored by Lichao Sun

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lichao Sun

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xu, Junjie, Xiaolong Hao, Chuanfu Chen, et al.. (2025). Synergistic Improvement of Mechanical, Creep, and Dimensional Stability in Ultra-Highly Filled Wood Fiber/Polyethylene Composites Using Multimodal Alloy Matrices. Composites Part A Applied Science and Manufacturing. 193. 108830–108830.

Chen, Dongping, et al.. (2025). Jailbreaking LLMs Through Alignment Vulnerabilities in Out-of-Distribution Settings. 4817–4821.

Dai, Haixing, Zhengliang Liu, Wenxiong Liao, et al.. (2025). AugGPT: Leveraging ChatGPT for Text Data Augmentation. IEEE Transactions on Big Data. 11(3). 907–918. 16 indexed citations

Liu, Ninghao, et al.. (2025). Towards Stable and Explainable Attention Mechanisms. IEEE Transactions on Knowledge and Data Engineering. 37(5). 3047–3061. 2 indexed citations

Liu, Yixin, et al.. (2024). A Survey of AI-Generated Content (AIGC). ACM Computing Surveys. 57(5). 1–38. 45 indexed citations

Chen, Hechang, et al.. (2024). Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9136–9149.

Li, Yuan-Fang, et al.. (2024). 1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?. 13394–13412. 1 indexed citations

Shu, Kai, et al.. (2024). From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire. 513–516. 3 indexed citations

Cui, Juan, et al.. (2024). Emodin-based Regulation and Control of Serum Complement C5a, Oxidative Stress, and Inflammatory Responses in Rats with Urosepsis via AMPK/SIRT1. Iranian Journal of Allergy Asthma and Immunology. 23(5). 550–562. 3 indexed citations

10.

Sun, Lichao, et al.. (2024). Optimization-based Prompt Injection Attack to LLM-as-a-Judge. 660–674. 10 indexed citations

11.

Ding, Zhengming, et al.. (2023). RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. 4118–4126. 8 indexed citations

12.

Liu, Yixin, et al.. (2023). SEAT: Stable and Explainable Attention. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 12907–12915. 2 indexed citations

13.

Hu, Shengshan, Wei Liu, Junhui Hou, et al.. (2023). PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 872–880. 8 indexed citations

14.

Lu, Jianfeng, Haibo Liu, Riheng Jia, et al.. (2022). Toward Personalized Federated Learning Via Group Collaboration in IIoT. IEEE Transactions on Industrial Informatics. 19(8). 8923–8932. 16 indexed citations

15.

Liu, Daizong, Xing Di, Yang Song, et al.. (2022). Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. 590–600. 7 indexed citations

16.

Peng, Hao, et al.. (2022). Federated Multi-view Learning for Private Medical Data Integration and Analysis. ACM Transactions on Intelligent Systems and Technology. 13(4). 1–23. 27 indexed citations

17.

Li, Qian, Hao Peng, Jianxin Li, et al.. (2022). A Survey on Text Classification: From Traditional to Deep Learning. ACM Transactions on Intelligent Systems and Technology. 13(2). 1–41. 218 indexed citations breakdown →

18.

Wang, Sijia, Mo Yu, Shiyu Chang, Lichao Sun, & Lifu Huang. (2022). Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. Findings of the Association for Computational Linguistics: ACL 2022. 169–182. 22 indexed citations

19.

Li, Chen, Hao Peng, Jianxin Li, et al.. (2021). Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. IEEE Transactions on Neural Networks and Learning Systems. 33(6). 2530–2542. 49 indexed citations

20.

Sun, Lichao, Weiran Huang, Philip S. Yu, & Wei Chen. (2018). Multi-Round Influence Maximization (Extended Version).. arXiv (Cornell University). 1 indexed citations

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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