Yao Ding

2.7k total citations · 4 hit papers
74 papers, 1.9k citations indexed

About

Yao Ding is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yao Ding has authored 74 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Media Technology, 30 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in Yao Ding's work include Remote-Sensing Image Classification (40 papers), Advanced Image Fusion Techniques (16 papers) and Image Retrieval and Classification Techniques (10 papers). Yao Ding is often cited by papers focused on Remote-Sensing Image Classification (40 papers), Advanced Image Fusion Techniques (16 papers) and Image Retrieval and Classification Techniques (10 papers). Yao Ding collaborates with scholars based in China, United States and Italy. Yao Ding's co-authors include Zhili Zhang, Xiaofeng Zhao, Wei Cai, Nengjun Yang, Danfeng Hong, Weiwei Cai, Yaoming Cai, Ying Zhan, Zhonghao Chen and Bing Zhang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Yao Ding

68 papers receiving 1.8k 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.

Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification

2022 171 citations Yao Ding, Xiaofeng Zhao et al. Neurocomputing profile →
Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification

2023 103 citations Yao Ding, Xiaofeng Zhao et al. Expert Systems with Applications profile →
Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification

2023 86 citations Yao Ding, Xiaofeng Zhao et al. Expert Systems with Applications profile →
Adaptive Homophily Clustering: Structure Homophily Graph Learning With Adaptive Filter for Hyperspectral Image

2025 16 citations Yao Ding, Jie Feng et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yao Ding China	22	1.1k	677	425	423	136	74	1.9k
Junjue Wang China	19	795 0.8×	911 1.3×	380 0.9×	301 0.7×	132 1.0×	49	2.1k
Zhixi Feng China	22	622 0.6×	974 1.4×	585 1.4×	211 0.5×	280 2.1×	97	2.2k
Yang Xu China	19	975 0.9×	478 0.7×	290 0.7×	398 0.9×	129 0.9×	121	1.5k
Yuhui Zheng China	27	931 0.9×	1.6k 2.3×	435 1.0×	331 0.8×	142 1.0×	96	2.6k
Mingyang Zhang China	27	1.1k 1.1×	515 0.8×	512 1.2×	682 1.6×	142 1.0×	118	2.0k
Zhiqiang Gong China	18	723 0.7×	403 0.6×	306 0.7×	436 1.0×	184 1.4×	55	1.5k
Hongmin Gao China	27	1.2k 1.1×	576 0.9×	265 0.6×	598 1.4×	239 1.8×	173	2.0k
Liejun Wang China	22	542 0.5×	843 1.2×	443 1.0×	269 0.6×	121 0.9×	172	2.0k
Zhaobin Wang China	23	829 0.8×	941 1.4×	236 0.6×	134 0.3×	167 1.2×	66	2.0k

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-authorship network of co-authors of Yao Ding

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

Chen, Zhonghao, Hongmin Gao, Yiyan Zhang, et al.. (2025). MDA-HTD: Mask-driven dual autoencoders meet hyperspectral target detection. Information Processing & Management. 62(4). 104106–104106. 8 indexed citations

Su, Juan, et al.. (2025). Self cycle strategy for unpaired visible-to-infrared image translation. Pattern Recognition. 171. 112253–112253.

Ahmad, Muhammad, Salvatore Distefano, Adil Khan, et al.. (2025). A comprehensive survey for Hyperspectral Image Classification: The evolution from conventional to transformers and Mamba models. Neurocomputing. 644. 130428–130428. 9 indexed citations

Li, Min, et al.. (2025). CTFN: Multi-scale CNN and transformer with graph encodings fusion network for hyperspectral image classification. Expert Systems with Applications. 288. 128063–128063. 2 indexed citations

Li, Min, et al.. (2025). A robust low-pass filtering graph diffusion clustering framework for hyperspectral images. Knowledge-Based Systems. 324. 113782–113782.

Ding, Yao, et al.. (2024). BiDiCOS: Camouflaged object segmentation via bilateral diffusion model. Expert Systems with Applications. 255. 124747–124747. 2 indexed citations

Li, Min, et al.. (2024). GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 24 indexed citations

Ding, Yun, Mingyang Hou, Yao Ding, et al.. (2024). Exploring Positional Distributions of Labeled Superpixels Within Graph Convolutional Networks for Hyperspectral Image. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 4 indexed citations

Jin, Fei, et al.. (2024). Multitask Siamese Network Guided by Enhanced Change Information for Semantic Change Detection in Bitemporal Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 61–77. 6 indexed citations

10.

Li, Min, et al.. (2024). An Efficient and Lightweight Spectral-Spatial Feature Graph Contrastive Learning Framework for Hyperspectral Image Clustering. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 7 indexed citations

11.

Ding, Yao, et al.. (2024). Lightweight Design for Infrared Dim and Small Target Detection in Complex Environments. Remote Sensing. 16(20). 3761–3761. 2 indexed citations

12.

Zheng, Qinghe, Xinyu Tian, Zhiguo Yu, et al.. (2023). Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction. Expert Systems with Applications. 245. 123008–123008. 37 indexed citations

13.

Zhang, Liangji, Guoxiong Zhou, Chao Lu, et al.. (2023). MDMASNet: A dual-task interactive semi-supervised remote sensing image segmentation method. Signal Processing. 212. 109152–109152. 8 indexed citations

14.

Chen, Zhonghao, Guoyong Wu, Hongmin Gao, et al.. (2023). Local aggregation and global attention network for hyperspectral image classification with spectral-induced aligned superpixel segmentation. Expert Systems with Applications. 232. 120828–120828. 63 indexed citations

15.

Ding, Yao, et al.. (2023). Camouflaged Object Detection Based on Ternary Cascade Perception. Remote Sensing. 15(5). 1188–1188. 12 indexed citations

16.

Cai, Yaoming, Zijia Zhang, Pedram Ghamisi, et al.. (2023). Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. ACM Transactions on Intelligent Systems and Technology. 14(3). 1–23. 6 indexed citations

17.

Ding, Yao, et al.. (2023). Camouflaged Object Segmentation Based on Joint Salient Object for Contrastive Learning. IEEE Transactions on Instrumentation and Measurement. 72. 1–16. 16 indexed citations

18.

Gao, Qinhe, et al.. (2022). Evaluation of Vehicle Camouflage Effectiveness Under a Complex Background Based on the Time-Limited Search Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 6133–6143. 1 indexed citations

19.

Zhao, Xiaofeng, et al.. (2022). Hyperspectral Image Classification Based on Graph Transformer Network and Graph Attention Mechanism. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 20 indexed citations

20.

Cai, Yaoming, Zijia Zhang, Pedram Ghamisi, et al.. (2022). Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 50 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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