Na Han

1.1k total citations
34 papers, 792 citations indexed

About

Na Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Na Han has authored 34 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 12 papers in Computational Mechanics. Recurrent topics in Na Han's work include Face and Expression Recognition (13 papers), Sparse and Compressive Sensing Techniques (12 papers) and Remote-Sensing Image Classification (10 papers). Na Han is often cited by papers focused on Face and Expression Recognition (13 papers), Sparse and Compressive Sensing Techniques (12 papers) and Remote-Sensing Image Classification (10 papers). Na Han collaborates with scholars based in China, Hong Kong and Australia. Na Han's co-authors include Xiaozhao Fang, Jie Wen, Jigang Wu, Yong Xu, Shanhua Zhan, Jian Yang, Wai Keung Wong, Shengli Xie, Lunke Fei and Shaohua Teng and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Cybernetics.

In The Last Decade

Na Han

30 papers receiving 787 citations

Peers

Countries citing papers authored by Na Han

Since Specialization

Citations

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

Fields of papers citing papers by Na Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Han

This figure shows the co-authorship network connecting the top 25 collaborators of Na Han. A scholar is included among the top collaborators of Na Han 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 Na Han. Na Han 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	Fuzzy bifocal disambiguation for partial multi-label learning 2025 ·Neural Networks ·Xiaozhao Fang, Xi Hu, Yan Hu, (unknown), Shengli Xie, Na Han	0
2	Time-of-Flight Camera Intensity Image Reconstruction Based on an Untrained Convolutional Neural Network 2024 ·Photonics ·(unknown), (unknown), Na Han, (unknown), Yanqiu Wang, Zhibin Sun	0
3	Efficient Discriminative Hashing for Cross-Modal Retrieval 2024 ·IEEE Transactions on Systems Man and Cybernetics Systems ·(unknown), Peipei Kang, Xiaozhao Fang, Na Han, Shengli Xie, Hongbo Gao	6
4	EACAS: An Efficient Anonymous Cross-Domain Authentication Scheme in Internet of Vehicles 2024 ·IEEE Internet of Things Journal ·(unknown), Xiaoyan Yang, (unknown), (unknown), Aqing Yang, Na Han	0
5	Low-rank constraint-based multiple projections learning for cross-domain classification 2023 ·Knowledge-Based Systems ·(unknown), Xiaozhao Fang, Lin Jiang, Na Han, Shaohua Teng	5
6	Two-Stage Asymmetric Similarity Preserving Hashing for Cross-Modal Retrieval 2023 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Peipei Kang, Na Han, (unknown), Xiaozhao Fang, Hongbo Gao, Guoxu Zhou	16
7	Two-Step Strategy for Domain Adaptation Retrieval 2023 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Xiaozhao Fang, Yuanyuan Liu, (unknown), Peipei Kang, Na Han, Shengli Xie	3
8	A survey of drug-target interaction and affinity prediction methods via graph neural networks 2023 ·Computers in Biology and Medicine ·Yue Zhang, Yuqing Hu, Na Han, Aqing Yang, Xiaoyong Liu, Hongmin Cai	45
9	Average Approximate Hashing-Based Double Projections Learning for Cross-Modal Retrieval 2021 ·IEEE Transactions on Cybernetics ·Xiaozhao Fang, (unknown), Na Han, Shaohua Teng, Guoxu Zhou, Shengli Xie	19
10	Dynamic Double Classifiers Approximation for Cross-Domain Recognition 2020 ·IEEE Transactions on Cybernetics ·Xiaozhao Fang, Na Han, Guoxu Zhou, (unknown), Yong Xu, (unknown)	25
11	Projective Double Reconstructions Based Dictionary Learning Algorithm for Cross-Domain Recognition 2020 ·IEEE Transactions on Image Processing ·Na Han, Jigang Wu, Xiaozhao Fang, Shaohua Teng, Guoxu Zhou, Shengli Xie, Xuelong Li	19
12	Transferable Linear Discriminant Analysis 2020 ·IEEE Transactions on Neural Networks and Learning Systems ·Na Han, Jigang Wu, Xiaozhao Fang, Jie Wen, Shanhua Zhan, Shengli Xie, Xuelong Li	22
13	Double Relaxed Regression for Image Classification 2019 ·IEEE Transactions on Circuits and Systems for Video Technology ·Na Han, Jigang Wu, Xiaozhao Fang, Wai Keung Wong, Yong Xu, Jian Yang, Xuelong Li	35
14	Latent Elastic-Net Transfer Learning 2019 ·IEEE Transactions on Image Processing ·Na Han, Jigang Wu, Xiaozhao Fang, Shengli Xie, Shanhua Zhan, Kan Xie, Xuelong Li	21
15	Joint sparse representation and locality preserving projection for feature extraction 2018 ·International Journal of Machine Learning and Cybernetics ·Wei Zhang, Peipei Kang, Xiaozhao Fang, Luyao Teng, Na Han	30
16	Approximate Low-Rank Projection Learning for Feature Extraction 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Xiaozhao Fang, Na Han, Jigang Wu, Yong Xu, Jian Yang, Wai Keung Wong, Xuelong Li	90
17	Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Xiaozhao Fang, Na Han, Wai Keung Wong, Shaohua Teng, Jigang Wu, Shengli Xie, Xuelong Li	37
18	Low-rank and sparse embedding for dimensionality reduction 2018 ·Neural Networks ·Na Han, Jigang Wu, (unknown), Xiaozhao Fang, Wai Keung Wong, Shaohua Teng	24
19	Unsupervised feature extraction by low-rank and sparsity preserving embedding 2018 ·Neural Networks ·Shanhua Zhan, Jigang Wu, Na Han, Jie Wen, Xiaozhao Fang	33
20	A Research on Intrusion Detection Based on Support Vector Machines 2010 ·Xiaozhao Fang, Wei Zhang, Shaohua Teng, Na Han	3

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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