Yao Ding

2.8k citations

77 papers · 2.0k · 3 hit papers · h-index 22

Impact in

Media Technology top 0.2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Computer Vision and Pattern Recognition top 1%
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications

Papers in

Media Technology 42
- Remote-Sensing Image Classification 40
- Advanced Image Fusion Techniques 16
Computer Vision and Pattern Recognition 30
- Image Retrieval and Classification Techniques 10
- Face and Expression Recognition 9
- Advanced Image and Video Retrieval Techniques 8
- Visual Attention and Saliency Detection 7
- Image Enhancement Techniques 6

Co-authors: Zhili Zhang (16 shared papers)Xiaofeng Zhao (12 shared papers)Wei Cai (8 shared papers)Nengjun Yang (7 shared papers)Danfeng Hong (15 shared papers)Weiwei Cai (5 shared papers)Ying Zhan (3 shared papers)Yaoming Cai (9 shared papers)
Journals: IEEE Transactions on Geoscience and Remote Sensing (14 papers)Expert Systems with Applications (6 papers)Remote Sensing (6 papers)IEEE Geoscience and Remote Sensing Letters (5 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (3 papers)
Partner nations: China United States Italy

In The Last Decade

Yao Ding

71 papers receiving 2.0k citations

Yao Ding's Hit Papers

align trajectories log scale

Adaptive Homophily Clustering: Structure Homophily Graph Learning With Adaptive Filter for Hyperspectral Image 2025 · 20 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2025 IEEE Transactions on Geoscience and Remote Sensing
2023 Expert Systems with Applications
2022 Neurocomputing

Peers

Countries citing papers authored by Yao Ding

Since Specialization

Citations

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

Fields of papers citing papers by Yao Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yao Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yao Ding Line = papers co-authored together Yao Ding links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification Neurocomputing ·Yao Ding, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Cai, Chengguo Yu, Nengjun Yang, Weiwei Cai Hit paper breakdown →	2022	177
2	Semi-Supervised Locality Preserving Dense Graph Neural Network With ARMA Filters and Context-Aware Learning for Hyperspectral Image Classification IEEE Transactions on Geoscience and Remote Sensing ·Yao Ding, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang, Ying Zhan	2021	130
3	Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification Expert Systems with Applications ·Yao Ding, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Cai, Nengjun Yang, Bei Wang Hit paper breakdown →	2023	112
4	Multiscale Graph Sample and Aggregate Network With Context-Aware Learning for Hyperspectral Image Classification IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Yao Ding, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang	2021	104
5	Deep hybrid: Multi-graph neural network collaboration for hyperspectral image classification Defence Technology ·Yao Ding, Zhili Zhang, (unknown), Wei Cai, Fang He, (unknown), Weiwei Cai	2022	102
6	AF2GNN: Graph convolution with adaptive filters and aggregator fusion for hyperspectral image classification Information Sciences ·Yao Ding, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Li, Wei Cai, Ying Zhan	2022	100
7	Graph Sample and Aggregate-Attention Network for Hyperspectral Image Classification IEEE Geoscience and Remote Sensing Letters ·Yao Ding, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang	2021	95
8	Unsupervised Self-Correlated Learning Smoothy Enhanced Locality Preserving Graph Convolution Embedding Clustering for Hyperspectral Images IEEE Transactions on Geoscience and Remote Sensing ·Yao Ding, Zhili Zhang, Xiaofeng Zhao, Wei Cai, Nengjun Yang, Haojie Hu, Xianxiang Huang, Yuan Cao, Weiwei Cai	2022	91
9	Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification Expert Systems with Applications ·Zhili Zhang, Yao Ding, Xiaofeng Zhao, L. Siye, Nengjun Yang, Yaoming Cai, Ying Zhan	2023	90
10	Self-Supervised Locality Preserving Low-Pass Graph Convolutional Embedding for Large-Scale Hyperspectral Image Clustering IEEE Transactions on Geoscience and Remote Sensing ·Yao Ding, Zhili Zhang, Xiaofeng Zhao, Yaoming Cai, Siye Li, Biao Deng, Weiwei Cai	2022	90
11	MobileRaT: A Lightweight Radio Transformer Method for Automatic Modulation Classification in Drone Communication Systems Drones ·Qinghe Zheng, Xinyu Tian, Zhiguo Yu, Yao Ding, Abdussalam Elhanashi, Sergio Saponara, Kidiyo Kpalma	2023	86
12	Local aggregation and global attention network for hyperspectral image classification with spectral-induced aligned superpixel segmentation Expert Systems with Applications ·Zhonghao Chen, Guoyong Wu, Hongmin Gao, Yao Ding, Danfeng Hong, Bing Zhang	2023	66
13	Epileptic State Classification by Fusing Hand-Crafted and Deep Learning EEG Features IEEE Transactions on Circuits & Systems II Express Briefs ·Dinghan Hu, Jiuwen Cao, Xiaoping Lai, Yaomin Wang, Shuang Wang, Yao Ding	2020	61
14	GTFN: GCN and Transformer Fusion Network With Spatial-Spectral Features for Hyperspectral Image Classification IEEE Transactions on Geoscience and Remote Sensing ·Aitao Yang, Min Li, Yao Ding, Danfeng Hong, Yilong Lv, Yujie He	2023	53
15	Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images IEEE Transactions on Geoscience and Remote Sensing ·Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Zhihua Cai, Richard Gloaguen	2022	50
16	High-efficiency concurrent dual-band class-F and inverse class-F power amplifier Electronics Letters ·Yao Ding, Yong‐Xin Guo, Falin Liu	2011	43
17	Temporal difference-guided network for hyperspectral image change detection International Journal of Remote Sensing ·Zhonghao Chen, Yuyang Wang, Hongmin Gao, Yao Ding, Qiqiang Zhong, Danfeng Hong, Bing Zhang	2023	41
18	Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction Expert Systems with Applications ·Qinghe Zheng, Xinyu Tian, Zhiguo Yu, Bo Jin, Nan Jiang, Yao Ding, Mingqiang Yang, Abdussalam Elhanashi, Sergio Saponara, Kidiyo Kpalma	2023	40
19	Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation Binghao Liu, Yao Ding, Jianbin Jiao, Xiangyang Ji, Qixiang Ye	2021	38
20	CDNet: Centripetal Direction Network for Nuclear Instance Segmentation 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Hongliang He, Zhongyi Huang, Yao Ding, Guoli Song, (unknown), Qian Ren, Pengxu Wei, Zhiqiang Gao, Jie Chen	2021	29

About Yao Ding

Yao Ding is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering and Atmospheric Science, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (40 papers), Advanced Image Fusion Techniques (16 papers), Image Retrieval and Classification Techniques (10 papers), Face and Expression Recognition (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Visual Attention and Saliency Detection (7 papers), Remote Sensing and Land Use (6 papers) and Image Enhancement Techniques (6 papers). The work is most often cited by research in Media Technology (1.1k citations), Computer Vision and Pattern Recognition (702 citations), Atmospheric Science (429 citations), Artificial Intelligence (439 citations) and Computational Mathematics (7 citations). Yao Ding has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Zhili Zhang, Xiaofeng Zhao, Wei Cai, Nengjun Yang, Danfeng Hong, Weiwei Cai, Ying Zhan, Yaoming Cai, Hongmin Gao and Bing Zhang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications, Remote Sensing, IEEE Geoscience and Remote Sensing Letters and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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