Han Liu

6.5k total citations
306 papers, 3.5k citations indexed

About

Han Liu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Han Liu has authored 306 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Computer Vision and Pattern Recognition, 70 papers in Control and Systems Engineering and 65 papers in Artificial Intelligence. Recurrent topics in Han Liu's work include Sparse and Compressive Sensing Techniques (33 papers), Advanced Algorithms and Applications (32 papers) and Image and Signal Denoising Methods (22 papers). Han Liu is often cited by papers focused on Sparse and Compressive Sensing Techniques (33 papers), Advanced Algorithms and Applications (32 papers) and Image and Signal Denoising Methods (22 papers). Han Liu collaborates with scholars based in China, United States and Canada. Han Liu's co-authors include Ding Liu, Runyuan Guo, Youmin Zhang, John Lafferty, Larry Wasserman, Guo Xie, Zhaoran Wang, Tuo Zhao, Jing Xin and Yingmin Yi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and IEEE Transactions on Automatic Control.

In The Last Decade

Han Liu

272 papers receiving 3.3k citations

Peers

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Replacing complex transformer with simple attention to achieve hyperspectral and multispectral image fusion 2025 ·Engineering Applications of Artificial Intelligence ·Kunpeng Mu, Wenqing Wang, Mingze Gao, Han Liu	0
2	Pretrained subtraction and segmentation model for coronary angiograms 2024 ·Scientific Reports ·Yunjie Zeng, Han Liu, (unknown), (unknown), Qiang She	2
3	An Improved Detail-Enhancement CycleGAN Using AdaLIN for Facial Style Transfer 2024 ·Applied Sciences ·(unknown), Han Liu, (unknown), (unknown)	3
4	Utilization of deep learning models to predict calving time in dairy cattle from tail acceleration data 2024 ·Computers and Electronics in Agriculture ·(unknown), Jizheng Zhao, (unknown), Cheng Lu, Xinyi Zhou, (unknown), Lei Wang, Han Liu, Huaibo Song	7
5	The role of solution temperature in characteristics of TiO₂ nanotube arrays prepared on Ti foil in acid solution 2024 ·RSC Advances ·(unknown), (unknown), Qingjie Qi, Han Liu, Yue Wang, Changbin Chen	0
6	Uplink Capacity Enhancement for Workload-Weighted FD-SWIPT-NOMA Networks Based on Deep Learning 2024 ·IEEE Transactions on Vehicular Technology ·Zhipeng Feng, (unknown), Han Liu, Jianping An, Zhongshan Zhang	0
7	HydroBIM—Digital Design, Intelligent Construction, and Smart Operation 2023 ·SHILAP Revista de lepidopterología ·(unknown), Sherong Zhang, Zhiyong Zhao, Lei Yan, Chao Wang, Han Liu	23
8	Image restoration via joint low-rank and external nonlocal self-similarity prior 2023 ·Signal Processing ·(unknown), Han Liu, (unknown), Wenqing Wang, Ding Liu	8
9	A transfer learning method to assimilate numerical data with experimental data for effusion cooling 2023 ·Applied Thermal Engineering ·(unknown), Jian Lou, Han Liu, Zhiwei Chu, Qi Wang, Li Yang, (unknown)	8
10	An Efficient and Accurate 2W-PE Method for Solving Spatial Field Strength Based on CVNN and PINN 2023 ·International Journal of Antennas and Propagation ·(unknown), (unknown), (unknown), Han Liu	1
11	Capturing the few-shot class distribution: Transductive distribution optimization 2023 ·Pattern Recognition ·Xinyue Liu, Ligang Liu, Han Liu, Xiaotong Zhang	5
12	Driver's visual fixation attention prediction in dynamic scenes using hybrid neural networks 2023 ·Digital Signal Processing ·(unknown), Han Liu, (unknown), (unknown)	3
13	An Interpretable Soft Sensor Model for Power Plant Process Based on Deep Learning 2023 ·(unknown), Han Liu, Runyuan Guo	1
14	Cubic B-Spline-Based Feature Tracking for Visual–Inertial Odometry With Event Camera 2023 ·IEEE Transactions on Instrumentation and Measurement ·Xinghua Liu, (unknown), (unknown), Han Liu, Badong Chen, Shuzhi Sam Ge	1
15	Early Forest Fire Segmentation Based on Deep Learning 2021 ·Mengna Li, Youmin Zhang, Jing Xin, Lingxia Mu, Ziquan Yu, Han Liu, Guo Xie, Shangbin Jiao, Yingmin Yi	1
16	Combined application of electronic nose analysis and back-propagation neural network and random forest models for assessing yogurt flavor acceptability 2019 ·Journal of Food Measurement & Characterization ·Huaixiang Tian, Han Liu, Yujie He, Bin Chen, Lizhong Xiao, (unknown), Guang‐Zhong Wang, Haiyan Yu, Chen Chen	35
17	An early forest fire detection method based on unmanned aerial vehicle vision 2018 ·Sha Ma, Youmin Zhang, Jing Xin, Yingmin Yi, Ding Liu, Han Liu	12
18	Parametric Simplex Method for Sparse Learning 2017 ·neural information processing systems ·(unknown), Han Liu, Robert J. Vanderbei, Tuo Zhao	5
19	Local smoothness in Variance Reduced optimization 2015 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), Han Liu, Tong Zhang	4
20	Nonparametric Greedy Algorithms for the Sparse Learning Problem 2009 ·Neural Information Processing Systems ·Han Liu, Xi Chen	5

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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