Han Liu

2.1k total citations
71 papers, 1.2k citations indexed

About

Han Liu is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Han Liu has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 16 papers in Computational Mechanics and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Han Liu's work include Domain Adaptation and Few-Shot Learning (6 papers), Face and Expression Recognition (5 papers) and 3D Shape Modeling and Analysis (5 papers). Han Liu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Face and Expression Recognition (5 papers) and 3D Shape Modeling and Analysis (5 papers). Han Liu collaborates with scholars based in China, United States and United Kingdom. Han Liu's co-authors include Xiaotong Zhang, Xianchao Zhang, Xiao-Ming Wu, Niloy J. Mitra, Xinyue Liu, Qimai Li, Qianting Hu, Lie Wang, Quanle Zou and Qingmiao Li and has published in prestigious journals such as IEEE Transactions on Information Theory, International Journal of Molecular Sciences and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Han Liu

60 papers receiving 1.1k citations

Peers

Han Liu
Jun Liang China
Nan Zhang China
XuanLong Nguyen United States
Han Liu
Citations per year, relative to Han Liu Han Liu (= 1×) peers Piyush Rai

Countries citing papers authored by Han Liu

Since Specialization
Citations

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

Fields of papers citing papers by Han Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Han Liu. A scholar is included among the top collaborators of Han Liu 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 Han Liu. Han Liu 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
1.
Liu, Han, et al.. (2025). Development of the environmental assisted fatigue assessment method for nuclear plants in digital twin. Nuclear Engineering and Technology. 57(6). 103402–103402.
2.
Zhang, Xiao, et al.. (2025). Multimodal approach to public health interventions using EGG and mobile health technologies. Frontiers in Public Health. 12. 1520343–1520343.
3.
Zhang, Yuhang, Peilin Chen, Keyan Ding, et al.. (2025). MPSol: A Multimodal Prompt Learning Framework for Protein Solubility Prediction. IEEE Journal of Biomedical and Health Informatics. 29(12). 8807–8814.
4.
Liu, Han, S. Nair, Jia Liu, et al.. (2025). EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models. 20743–20757.
5.
Zhang, Xiaotong, et al.. (2024). A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection. 2489–2502. 2 indexed citations
6.
Liu, Han, Xiaotong Zhang, Feng Zhang, et al.. (2024). Depression Detection via Capsule Networks with Contrastive Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 22231–22239. 3 indexed citations
7.
Zhang, Yunfang, Han Liu, Long‐Biao Huang, et al.. (2024). Femtosecond laser fabrication of nanopillar arrays for Surface-Enhanced Raman scattering substrates. Optics & Laser Technology. 181. 111659–111659. 2 indexed citations
8.
Feng, Tienan, Chen Zhang, Yanhui Hao, et al.. (2024). Association between frozen embryo transfer and childhood allergy: a retrospective cohort study. Reproductive BioMedicine Online. 49(5). 104320–104320. 1 indexed citations
9.
Zhang, Huifen, Pu Jing, Han Liu, et al.. (2023). Effects of L-Cysteine and γ-Aminobutyric Acid Treatment on Postharvest Quality and Antioxidant Activity of Loquat Fruit during Storage. International Journal of Molecular Sciences. 24(13). 10541–10541. 15 indexed citations
10.
Zhang, Xiaotong, Han Liu, Xianchao Zhang, & Xinyue Liu. (2022). Attributed graph clustering with multi-task embedding learning. Neural Networks. 152. 224–233. 7 indexed citations
11.
Zhang, Xiaotong, Han Liu, Xiao-Ming Wu, Xianchao Zhang, & Xinyue Liu. (2021). Spectral embedding network for attributed graph clustering. Neural Networks. 142. 388–396. 36 indexed citations
12.
Liu, Han, Kangxue Yin, Ruizhen Hu, et al.. (2020). FAME: 3D Shape Generation via Functionality-Aware Model Evolution. IEEE Transactions on Visualization and Computer Graphics. 28(4). 1758–1772. 8 indexed citations
13.
Liu, Han, et al.. (2018). Possible world based consistency learning model for clustering and classifying uncertain data. Neural Networks. 102. 48–66. 14 indexed citations
14.
Kolar, Mladen, Han Liu, & Eric P. Xing. (2018). Markov Network Estimation From Multi-attribute Data. Figshare. 28(3). 73–81. 9 indexed citations
15.
Zhang, Xiaotong, Xianchao Zhang, Han Liu, & Xinyue Liu. (2017). Multi-task clustering through instances transfer. Neurocomputing. 251. 145–155. 21 indexed citations
16.
Liu, Han. (2016). “Seed Library”Service in American Public Libraries. 35(6). 31–35.
17.
Zhang, Xianchao, Xiaotong Zhang, & Han Liu. (2015). Multi-task multi-view clustering for non-negative data. International Conference on Artificial Intelligence. 4055–4061. 25 indexed citations
18.
Zhao, Tuo & Han Liu. (2012). Sparse Additive Machine. International Conference on Artificial Intelligence and Statistics. 22. 1435–1443. 16 indexed citations
19.
Zhao, Tuo, Kathryn Roeder, & Han Liu. (2012). Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation. Neural Information Processing Systems. 25. 162–170. 6 indexed citations
20.
Liu, Han. (2003). Construction Monitoring and Control for Cable-Stayed Main Span of Wuhu Changjiang River Bridge. Qiaoliang jianshe. 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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