Qiaolin Ye

4.3k total citations · 2 hit papers
153 papers, 3.2k citations indexed

About

Qiaolin Ye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Qiaolin Ye has authored 153 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Computer Vision and Pattern Recognition, 53 papers in Artificial Intelligence and 32 papers in Media Technology. Recurrent topics in Qiaolin Ye's work include Face and Expression Recognition (60 papers), Sparse and Compressive Sensing Techniques (24 papers) and Remote-Sensing Image Classification (23 papers). Qiaolin Ye is often cited by papers focused on Face and Expression Recognition (60 papers), Sparse and Compressive Sensing Techniques (24 papers) and Remote-Sensing Image Classification (23 papers). Qiaolin Ye collaborates with scholars based in China, United States and Nepal. Qiaolin Ye's co-authors include Liyong Fu, Ning Ye, Xiaobo Chen, Jian Yang, Chunxia Zhao, Zhao Zhang, Jun Liang, Tongming Yin, Xijian Fan and Shangbing Gao and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Qiaolin Ye

135 papers receiving 3.1k 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.

RemoteCLIP: A Vision Language Foundation Model for Remote Sensing

2024 179 citations Qiaolin Ye, Liyong Fu et al. IEEE Transactions on Geoscience and Remote Sensing profile →
Joint Classification of Hyperspectral and LiDAR Data Using a Hierarchical CNN and Transformer

2022 130 citations Qiaolin Ye 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
Qiaolin Ye China	30	1.5k	974	629	401	299	153	3.2k
Ruby C. Weng Taiwan	11	1.1k 0.7×	1.3k 1.4×	387 0.6×	176 0.4×	294 1.0×	24	3.2k
Zhong‐Qiu Zhao China	20	2.6k 1.7×	964 1.0×	535 0.9×	201 0.5×	136 0.5×	72	4.8k
Jun Guo China	39	3.1k 2.1×	2.0k 2.1×	737 1.2×	211 0.5×	118 0.4×	352	5.8k
Xin Ning China	38	2.1k 1.4×	1.2k 1.3×	375 0.6×	197 0.5×	101 0.3×	168	4.3k
Chenwei Deng China	22	1.5k 1.0×	1.1k 1.2×	726 1.2×	199 0.5×	67 0.2×	90	3.2k
Shaohui Liu China	34	2.8k 1.8×	600 0.6×	478 0.8×	291 0.7×	194 0.6×	187	4.7k
Jing‐Hao Xue United Kingdom	36	2.8k 1.9×	1.0k 1.0×	1.1k 1.7×	99 0.2×	79 0.3×	185	4.7k
Min Wang China	34	1.4k 0.9×	843 0.9×	1.3k 2.0×	104 0.3×	64 0.2×	205	3.5k
Bin Fang China	31	2.1k 1.4×	604 0.6×	723 1.1×	144 0.4×	90 0.3×	304	3.7k
Yong Zhou China	29	1.4k 0.9×	694 0.7×	579 0.9×	69 0.2×	743 2.5×	279	3.8k

Countries citing papers authored by Qiaolin Ye

Since Specialization

Citations

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

Fields of papers citing papers by Qiaolin Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiaolin Ye

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

Gao, Demin, et al.. (2025). Cracking the Code: LoRa Physical-Layer Insights and Signal Recovery Under Cross-Technology Interference. IEEE Transactions on Wireless Communications. 24(11). 9660–9671.

Chen, Pan, Xijian Fan, Tardi Tjahjadi, et al.. (2025). Vision Foundation Model Guided Multimodal Fusion Network for Remote Sensing Semantic Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 9409–9431. 2 indexed citations

Li, Minxian, et al.. (2025). RobustEMD: Domain robust matching for cross-domain few-shot medical image segmentation. Artificial Intelligence in Medicine. 167. 103197–103197. 1 indexed citations

Gao, Demin, Yongrui Chen, Qiaolin Ye, et al.. (2025). LoBee: Bidirectional Communication Between LoRa and ZigBee Based on Physical-Layer CTC. IEEE Transactions on Wireless Communications. 24(8). 6857–6868. 3 indexed citations

Sun, Lijuan, et al.. (2025). FVRFL: Federated Learning for Finger Vein Recognition Under Distributed Scenario. IEEE Transactions on Instrumentation and Measurement. 74. 1–12. 2 indexed citations

Ye, Qiaolin, et al.. (2024). Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning. Pattern Recognition. 152. 110451–110451. 5 indexed citations

Ye, Qiaolin, et al.. (2024). Fusing spatial and frequency features for compositional zero-shot image classification. Expert Systems with Applications. 258. 125230–125230.

Zhang, Xiaofang, Ram P. Sharma, Qiaolin Ye, et al.. (2024). Forest above-ground biomass estimation based on strongly collinear variables derived from airborne laser scanning data. Ecological Indicators. 166. 112517–112517. 1 indexed citations

Chen, Xiaobo, et al.. (2024). Composite Nonconvex Low-Rank Tensor Completion With Joint Structural Regression for Traffic Sensor Networks Data Recovery. IEEE Transactions on Computational Social Systems. 11(5). 6882–6896. 5 indexed citations

10.

Yan, He, Yan Liu, Yanmeng Li, et al.. (2023). Robust GEPSVM classifier: An efficient iterative optimization framework. Information Sciences. 657. 119986–119986. 2 indexed citations

11.

Yang, Xubing, Li Zhang, Xijian Fan, et al.. (2023). Preferred vector machine for forest fire detection. Pattern Recognition. 143. 109722–109722. 31 indexed citations

12.

Wang, Yang, Xubing Yang, Li Zhang, et al.. (2023). Individual tree segmentation and tree-counting using supervised clustering. Computers and Electronics in Agriculture. 205. 107629–107629. 13 indexed citations

13.

Chen, Xiaobo, et al.. (2023). Goal-Guided and Interaction-Aware State Refinement Graph Attention Network for Multi-Agent Trajectory Prediction. IEEE Robotics and Automation Letters. 9(1). 57–64. 18 indexed citations

14.

Fan, Xijian, et al.. (2022). BASNet: Burned Area Segmentation Network for Real-Time Detection of Damage Maps in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 54 indexed citations

15.

Zheng, Yuhui, et al.. (2022). Motion Stimulation for Compositional Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 33(5). 2061–2074. 30 indexed citations

16.

Chen, Xiaobo, et al.. (2022). Vehicle Trajectory Prediction Based on Intention-Aware Non-Autoregressive Transformer With Multi-Attention Learning for Internet of Vehicles. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 92 indexed citations

17.

Ye, Qiaolin, et al.. (2019). Remote sensing image classification based on deep learning features and support vector machine.. 4(2). 119–125. 2 indexed citations

18.

Zhang, Dong, Yunlian Sun, Qiaolin Ye, & Jinhui Tang. (2018). Recursive Discriminative Subspace Learning With $\ell_{1}$ -Norm Distance Constraint. IEEE Transactions on Cybernetics. 50(5). 2138–2151. 28 indexed citations

19.

Chen, Xiaobo, Cheng Chen, Yingfeng Cai, Hai Wang, & Qiaolin Ye. (2018). Kernel Sparse Representation with Hybrid Regularization for On-Road Traffic Sensor Data Imputation. Sensors. 18(9). 2884–2884. 5 indexed citations

20.

Ma, Xu, Qiaolin Ye, & He Yan. (2017). L2P-Norm Distance Twin Support Vector Machine. IEEE Access. 5. 23473–23483. 21 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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