Yaoming Cai

1.8k total citations · 2 hit papers
47 papers, 1.3k citations indexed

About

Yaoming Cai is a scholar working on Media Technology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yaoming Cai has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Media Technology, 21 papers in Artificial Intelligence and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yaoming Cai's work include Remote-Sensing Image Classification (36 papers), Remote Sensing and Land Use (14 papers) and Advanced Image Fusion Techniques (12 papers). Yaoming Cai is often cited by papers focused on Remote-Sensing Image Classification (36 papers), Remote Sensing and Land Use (14 papers) and Advanced Image Fusion Techniques (12 papers). Yaoming Cai collaborates with scholars based in China, Germany and Austria. Yaoming Cai's co-authors include Zhihua Cai, Xiaobo Liu, Zijia Zhang, Yao Ding, Zhili Zhang, Xiaofeng Zhao, Meng Zeng, Weiwei Cai, Yongshan Zhang and Pedram Ghamisi and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yaoming Cai

46 papers receiving 1.3k 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.

BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image

2019 214 citations Yaoming Cai, Xiaobo Liu et al. IEEE Transactions on Geoscience and Remote Sensing profile →
Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification

2023 86 citations Zhili Zhang, Yao Ding et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaoming Cai China	23	952	446	445	352	140	47	1.3k
Yang Xu China	19	975 1.0×	398 0.9×	478 1.1×	290 0.8×	178 1.3×	121	1.5k
Xianghai Cao China	21	1.2k 1.3×	736 1.7×	455 1.0×	273 0.8×	150 1.1×	50	1.6k
Shou Feng China	20	808 0.8×	371 0.8×	397 0.9×	224 0.6×	65 0.5×	76	1.2k
Liangpei Zhang China	13	945 1.0×	509 1.1×	412 0.9×	165 0.5×	134 1.0×	17	1.3k
Tiecheng Song China	17	583 0.6×	299 0.7×	719 1.6×	167 0.5×	103 0.7×	62	1.3k
Amit Banerjee United States	18	618 0.6×	254 0.6×	414 0.9×	252 0.7×	120 0.9×	75	1.4k
Frédéric Ratle Switzerland	9	564 0.6×	287 0.6×	408 0.9×	390 1.1×	62 0.4×	13	1.1k
Rui Song China	24	906 1.0×	214 0.5×	992 2.2×	281 0.8×	117 0.8×	95	1.7k
Taiping Zhang China	17	550 0.6×	169 0.4×	818 1.8×	286 0.8×	86 0.6×	68	1.3k
Muhammad Jaleed Khan Pakistan	14	417 0.4×	156 0.3×	419 0.9×	259 0.7×	125 0.9×	36	1.2k

Countries citing papers authored by Yaoming Cai

Since Specialization

Citations

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

Fields of papers citing papers by Yaoming Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoming Cai

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

Zhang, Zijia, et al.. (2025). MMAGL: Multiobjective Multiview Attributed Graph Learning for Joint Clustering of Hyperspectral and LiDAR Data. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 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.

Li, Kun, Yingqian Wang, Qiang Ling, Yaoming Cai, & Yao Qin. (2025). A cascaded autoencoder unmixing network for Hyperspectral anomaly detection. International Journal of Applied Earth Observation and Geoinformation. 136. 104405–104405. 1 indexed citations

Ding, Yao, Zhili Zhang, Yaoming Cai, et al.. (2025). SLCGC: A lightweight Self-supervised Low-Pass Contrastive Graph Clustering Network for Hyperspectral Images. IEEE Transactions on Multimedia. 27. 8251–8262. 5 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

Cai, Yaoming, et al.. (2024). Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6341–6354. 21 indexed citations

Cai, Yaoming, Zijia Zhang, Pedram Ghamisi, et al.. (2023). Transformer-based contrastive prototypical clustering for multimodal remote sensing data. Information Sciences. 649. 119655–119655. 24 indexed citations

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

Zhang, Zhili, Yao Ding, Xiaofeng Zhao, et al.. (2023). Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification. Expert Systems with Applications. 217. 119508–119508. 86 indexed citations breakdown →

10.

Zhang, Zijia, Yaoming Cai, Xiaobo Liu, Min Zhang, & Yan Meng. (2023). An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification. Remote Sensing. 16(1). 37–37. 3 indexed citations

11.

Zhang, Zijia, Yaoming Cai, & Wenyin Gong. (2022). Semi-supervised learning with graph convolutional extreme learning machines. Expert Systems with Applications. 213. 119164–119164. 22 indexed citations

12.

Zhang, Zijia, Yaoming Cai, & Wenyin Gong. (2022). Evolution-Driven Randomized Graph Convolutional Networks. IEEE Transactions on Systems Man and Cybernetics Systems. 52(12). 7516–7526. 11 indexed citations

13.

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

14.

Zhang, Zijia, Yaoming Cai, Wenyin Gong, et al.. (2021). Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 676–686. 12 indexed citations

15.

Cai, Yaoming, Zijia Zhang, Zhihua Cai, Xiaobo Liu, & Xinwei Jiang. (2021). Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 40 indexed citations

16.

Zeng, Meng, Bin Ning, Chunyang Hu, et al.. (2020). Hyper-Graph Regularized Kernel Subspace Clustering for Band Selection of Hyperspectral Image. IEEE Access. 8. 135920–135932. 5 indexed citations

17.

Cai, Yaoming, Zijia Zhang, Xiaobo Liu, & Zhihua Cai. (2020). Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 4869–4880. 48 indexed citations

18.

Zhang, Zijia, Yaoming Cai, & Dongfang Zhang. (2020). Solving Ordinary Differential Equations With Adaptive Differential Evolution. IEEE Access. 8. 128908–128922. 11 indexed citations

19.

Cai, Yaoming, et al.. (2020). Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine. Sensors. 20(5). 1262–1262. 11 indexed citations

20.

Liu, Xiaobo, et al.. (2019). Emotion Recognition Based on Multi-Composition Deep Forest and Transferred Convolutional Neural Network. Journal of Advanced Computational Intelligence and Intelligent Informatics. 23(5). 883–890. 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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