Dan Yao

539 total citations
23 papers, 375 citations indexed

About

Dan Yao is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Dan Yao has authored 23 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Media Technology, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Atmospheric Science. Recurrent topics in Dan Yao's work include Remote-Sensing Image Classification (7 papers), Remote Sensing and Land Use (6 papers) and Advanced Image Fusion Techniques (4 papers). Dan Yao is often cited by papers focused on Remote-Sensing Image Classification (7 papers), Remote Sensing and Land Use (6 papers) and Advanced Image Fusion Techniques (4 papers). Dan Yao collaborates with scholars based in China, United Kingdom and Austria. Dan Yao's co-authors include Hongmin Gao, Chenming Li, Yao Yang, Haichang Gao, Xiyang Liu, Zhixin Li, Haiyang Tang, Liang Shan, Huifang Ma and Uwe Aickelin and has published in prestigious journals such as Optics Express, Expert Systems with Applications and IEEE Access.

In The Last Decade

Dan Yao

21 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Yao China	12	151	99	71	64	58	23	375
Hala M. Ebied Egypt	11	191 1.3×	105 1.1×	16 0.2×	53 0.8×	49 0.8×	50	385
K. K. Thyagharajan India	11	163 1.1×	101 1.0×	15 0.2×	43 0.7×	53 0.9×	58	370
Ying-Nong Chen Taiwan	10	130 0.9×	153 1.5×	15 0.2×	86 1.3×	61 1.1×	25	343
Singara Singh Kasana India	15	372 2.5×	125 1.3×	17 0.2×	30 0.5×	92 1.6×	46	553
Hiroshi Hanaizumi Japan	6	124 0.8×	82 0.8×	141 2.0×	32 0.5×	16 0.3×	31	264
Sergio Sánchez Colombia	7	100 0.7×	115 1.2×	14 0.2×	71 1.1×	29 0.5×	17	291
Yogesh Dandawate India	11	130 0.9×	35 0.4×	35 0.5×	11 0.2×	35 0.6×	52	462
Zhengwu Yuan China	9	109 0.7×	102 1.0×	12 0.2×	33 0.5×	87 1.5×	30	283
Mahmoud Emam Egypt	13	234 1.5×	134 1.4×	20 0.3×	14 0.2×	46 0.8×	34	374
Zongmin Li China	13	295 2.0×	57 0.6×	26 0.4×	17 0.3×	87 1.5×	83	468

Countries citing papers authored by Dan Yao

Since Specialization

Citations

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

Fields of papers citing papers by Dan Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Yao

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

Yao, Dan, et al.. (2025). Human Behaviour Recognition Method Based on SME‐Net. IET Image Processing. 19(1).

Cheng, Mengtian, et al.. (2024). Response of formaldehyde to meteorology in Beijing: Primary or secondary contributions. Journal of Environmental Sciences. 156. 486–494. 3 indexed citations

Xu, Zhenghua, et al.. (2023). Cross-domain attention-guided generative data augmentation for medical image analysis with limited data. Computers in Biology and Medicine. 168. 107744–107744. 18 indexed citations

Tang, Haiyang, et al.. (2023). Improved STMask R-CNN-based defect detection model for automatic visual inspection of an optics lens. Applied Optics. 62(33). 8869–8869. 1 indexed citations

Yao, Dan, Zhixin Li, Bo Li, Canlong Zhang, & Huifang Ma. (2023). Similarity Graph-correlation Reconstruction Network for unsupervised cross-modal hashing. Expert Systems with Applications. 237. 121516–121516. 19 indexed citations

Xu, Zhenghua, et al.. (2023). Multi-Head Feature Pyramid Networks for Breast Mass Detection. 1–5. 5 indexed citations

Li, Bo, Dan Yao, & Zhixin Li. (2023). RICH: A rapid method for image-text cross-modal hash retrieval. Displays. 79. 102489–102489. 16 indexed citations

Guo, Zhiqiang, Qiannan Duan, Wenjing Wang, et al.. (2022). A spectral learning path for simultaneous multi-parameter detection of water quality. Environmental Research. 216(Pt 4). 114812–114812. 8 indexed citations

Tang, Haiyang, et al.. (2022). A visual defect detection for optics lens based on the YOLOv5 -C3CA-SPPF network model. Optics Express. 31(2). 2628–2628. 44 indexed citations

10.

Gao, Hongmin, et al.. (2020). Multiscale 3-D-CNN based on spatial–spectral joint feature extraction for hyperspectral remote sensing images classification. Journal of Electronic Imaging. 29(1). 1–1. 10 indexed citations

11.

Li, Chenming, et al.. (2020). Composite Clustering Sampling Strategy for Multiscale Spectral-Spatial Classification of Hyperspectral Images. Journal of Sensors. 2020. 1–17. 1 indexed citations

12.

Li, Chenming, et al.. (2019). HIGH-RESOLUTION REMOTE SENSING IMAGE SEGMENTATION METHOD BASED ON SReLU. International Journal of Robotics and Automation. 34(3). 1 indexed citations

13.

Gao, Hongmin, et al.. (2019). Convolutional neural network for spectral–spatial classification of hyperspectral images. Neural Computing and Applications. 31(12). 8997–9012. 25 indexed citations

14.

Gao, Hongmin, Yao Yang, Dan Yao, & Chenming Li. (2019). Hyperspectral Image Classification With Pre-Activation Residual Attention Network. IEEE Access. 7. 176587–176599. 34 indexed citations

15.

Yao, Dan, et al.. (2019). A comparative study of side-chain-type poly(ether ether ketone) anion exchange membrane functionalized with different hetero-cycloaliphatic quaternary ammonium groups. RSC Advances. 9(14). 7975–7983. 30 indexed citations

16.

Gao, Hongmin, et al.. (2019). A Hyperspectral Image Classification Method Based on Multi-Discriminator Generative Adversarial Networks. Sensors. 19(15). 3269–3269. 29 indexed citations

17.

Yang, Simon X., Yao Yang, Hongmin Gao, et al.. (2018). Hyperspectral Remote Sensing Image Classification Based on Maximum Overlap Pooling Convolutional Neural Network. Sensors. 18(10). 3587–3587. 22 indexed citations

18.

Yao, Dan, Lina Zhuang, Lianru Gao, Bing Zhang, & José M. Bioucas‐Dias. (2017). Hyperspectral image inpainting based on low-rank representation: A case study on Tiangong-1 data. pp. 3409–3412. 7 indexed citations

19.

Yao, Dan, Di Yuan, & Yang Xiao. (2014). On Ethernet Applications in the Field of Vehicle Network. Applied Mechanics and Materials. 496-500. 2287–2290.

20.

Gao, Haichang, et al.. (2010). A Novel Image Based CAPTCHA Using Jigsaw Puzzle. 351–356. 37 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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