Daojun Han

1.2k total citations · 1 hit paper
27 papers, 977 citations indexed

About

Daojun Han is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Daojun Han has authored 27 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Daojun Han's work include Chaos-based Image/Signal Encryption (7 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Blockchain Technology Applications and Security (5 papers). Daojun Han is often cited by papers focused on Chaos-based Image/Signal Encryption (7 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Blockchain Technology Applications and Security (5 papers). Daojun Han collaborates with scholars based in China, United States and Canada. Daojun Han's co-authors include Zhihua Gan, Yiran Chen, Xiuli Chai, Xiuli Chai, Xiaoyu Zheng, Yushu Zhang, Haiyang Wu, Yang Lu, Zhiguang Qin and Chunjing Xiao and has published in prestigious journals such as Scientific Reports, IEEE Access and Information Sciences.

In The Last Decade

Daojun Han

26 papers receiving 942 citations

Hit 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.

An image encryption algorithm based on chaotic system and compressive sensing

2018 325 citations Xiuli Chai, Zhihua Gan et al. profile →

Peers

Daojun Han

CVPR

AI

CTM

SNP

CM

Zhiqiu Xia China

Lazaros Moysis Greece

Александра Тутуева Russia

Weijie Tan China

Xiangde Zhang China

Akio Tsuneda Japan

Xiaoqiang Zhu China

Akram Belazi Tunisia

Syam Sankar India

Zhiqiu Xia China

Daojun Han

1.5k ×1.9

CVPR

127 ×0.7

AI

98 ×0.6

CTM

95 ×0.8

SNP

35 ×0.3

CM

Citations per year, relative to Daojun Han Daojun Han (= 1×) peers Zhiqiu Xia

Countries citing papers authored by Daojun Han

Since Specialization

Citations

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

Fields of papers citing papers by Daojun Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daojun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Daojun Han. A scholar is included among the top collaborators of Daojun 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 Daojun Han. Daojun Han 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

1.

Ma, Yuxiang, et al.. (2024). Shuffle-RDSNet: a method for side-scan sonar image classification with residual dual-path shrinkage network. The Journal of Supercomputing. 80(14). 19947–19975. 3 indexed citations

2.

Han, Daojun, et al.. (2024). Segmentation-aware relational graph convolutional network with multi-layer CRF for nested named entity recognition. Complex & Intelligent Systems. 10(6). 7893–7905. 4 indexed citations

3.

Han, Daojun, et al.. (2023). A Smart Contract Vulnerability Detection Model Based on Syntactic and Semantic Fusion Learning. Wireless Communications and Mobile Computing. 2023. 1–12. 5 indexed citations

4.

Han, Daojun, et al.. (2022). A smart contract vulnerability detection model based on graph neural networks. 834–837. 6 indexed citations

5.

Chen, Huiping, et al.. (2022). Attention-LSTM based prediction model for aircraft 4-D trajectory. Scientific Reports. 12(1). 15533–15533. 39 indexed citations

6.

Chen, Wan, et al.. (2022). A Model Study on Hierarchical Assisted Exploration of RBAC. International Journal of Digital Crime and Forensics. 14(2). 1–13. 1 indexed citations

7.

Chai, Xiuli, et al.. (2022). Exploiting Semi-Tensor Product Compressed Sensing and Hybrid Cloud for Secure Medical Image Transmission. IEEE Internet of Things Journal. 10(8). 7380–7392. 63 indexed citations

8.

Shen, Xiajiong, et al.. (2021). Weather radar echo prediction method based on recurrent convolutional neural network. 2021 IEEE International Conference on Big Data (Big Data). 909–916. 1 indexed citations

9.

Chai, Xiuli, et al.. (2021). Exploiting preprocessing-permutation–diffusion strategy for secure image cipher based on 3D Latin cube and memristive hyperchaotic system. Neural Computing and Applications. 33(16). 10371–10402. 17 indexed citations

10.

Chai, Xiuli, Haiyang Wu, Zhihua Gan, et al.. (2020). An efficient approach for encrypting double color images into a visually meaningful cipher image using 2D compressive sensing. Information Sciences. 556. 305–340. 143 indexed citations

11.

Xue, Yu, et al.. (2019). Research on Method of Tree Structure Selecting Optimal Medication Granularity Based on of Multi-granularity Decision System. 3. 601–605.

12.

Han, Daojun, et al.. (2019). DSSPS. 14–19. 1 indexed citations

13.

Han, Zhigang, et al.. (2019). Geosocial Media as a Proxy for Security: A Review. IEEE Access. 7. 154224–154238. 3 indexed citations

14.

Xiao, Chunjing, Daojun Han, Yongsen Ma, & Zhiguang Qin. (2019). CsiGAN: Robust Channel State Information-Based Activity Recognition With GANs. IEEE Internet of Things Journal. 6(6). 10191–10204. 83 indexed citations

15.

Li, Yan, et al.. (2018). Spatio-temporal-Aware Sparse Denoising Autoencoder Neural Network for Air Quality Prediction. 96–100. 4 indexed citations

16.

Gan, Zhihua, Xiuli Chai, Daojun Han, & Yiran Chen. (2018). A chaotic image encryption algorithm based on 3-D bit-plane permutation. Neural Computing and Applications. 31(11). 7111–7130. 177 indexed citations

17.

Chai, Xiuli, Zhihua Gan, Yang Lu, Yiran Chen, & Daojun Han. (2017). A novel image encryption algorithm based on the chaotic system and DNA computing. International Journal of Modern Physics C. 28(5). 1750069–1750069. 59 indexed citations

18.

Han, Daojun, et al.. (2012). A Context-Based Requirement Acquisition and Description Method. 35. 112–116. 1 indexed citations

19.

Han, Daojun, et al.. (2012). Permission and role automatic assigning of user in role-based access control. Journal of Central South University. 19(4). 1049–1056. 6 indexed citations

20.

Han, Daojun. (2009). Overview of Colorful Road Pavement Technology and its Development. Technology and Economy in Areas of Communications. 4 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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