Liye Mei

941 total citations
68 papers, 557 citations indexed

About

Liye Mei is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Liye Mei has authored 68 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 26 papers in Media Technology and 14 papers in Artificial Intelligence. Recurrent topics in Liye Mei's work include Remote-Sensing Image Classification (18 papers), AI in cancer detection (13 papers) and Digital Imaging for Blood Diseases (11 papers). Liye Mei is often cited by papers focused on Remote-Sensing Image Classification (18 papers), AI in cancer detection (13 papers) and Digital Imaging for Blood Diseases (11 papers). Liye Mei collaborates with scholars based in China, Japan and Australia. Liye Mei's co-authors include Xiaopeng Guo, Rencan Nie, Jinde Cao, Dongming Zhou, Kangjian He, Chuan Xu, Cheng Lei, Wei Yang, Zhaoyi Ye and Du Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Optics Letters.

In The Last Decade

Liye Mei

55 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liye Mei China 12 286 276 92 77 69 68 557
Y.J. Zhang China 3 207 0.7× 487 1.8× 106 1.2× 33 0.4× 60 0.9× 5 744
Xuechen Zhang China 6 304 1.1× 575 2.1× 42 0.5× 26 0.3× 67 1.0× 10 837
Alex Levinshtein Canada 9 309 1.1× 802 2.9× 76 0.8× 35 0.5× 37 0.5× 16 1.1k
Miguel Vega Spain 14 477 1.7× 572 2.1× 107 1.2× 23 0.3× 57 0.8× 55 808
Tao Lei China 14 120 0.4× 318 1.2× 68 0.7× 62 0.8× 31 0.4× 55 536
Shilpa Suresh India 11 204 0.7× 293 1.1× 138 1.5× 48 0.6× 31 0.4× 47 558
T. Randen Norway 7 260 0.9× 803 2.9× 132 1.4× 35 0.5× 41 0.6× 18 1.1k
Yanfeng Shang China 10 125 0.4× 182 0.7× 67 0.7× 81 1.1× 45 0.7× 24 352
Gabriel Martín Spain 15 618 2.2× 256 0.9× 87 0.9× 328 4.3× 114 1.7× 57 909

Countries citing papers authored by Liye Mei

Since Specialization
Citations

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

Fields of papers citing papers by Liye Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liye Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Liye Mei. A scholar is included among the top collaborators of Liye Mei 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 Liye Mei. Liye Mei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mei, Liye, Zhaoyi Ye, Zhiwei Ỹe, et al.. (2025). Visual fidelity and full-scale interaction driven network for infrared and visible image fusion. Pattern Recognition. 165. 111612–111612. 1 indexed citations
2.
Zou, Yujie, Yan Jin, Feng Zhang, et al.. (2025). High‐Throughput and Stain‐Free Morphological Analysis of Sperm Using Optofluidic Time‐Stretch Imaging Flow Cytometry. Journal of Biophotonics. 18(5). e202400560–e202400560.
3.
Huang, Jin, Yan Mao, Jingwen Deng, et al.. (2025). EMGANet: Edge-Aware Multi-Scale Group-Mix Attention Network for Breast Cancer Ultrasound Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(8). 5631–5641. 6 indexed citations
4.
Peng, Haoran, et al.. (2025). Highly‐Efficient Differentiation of Reactive Lymphocytes in Peripheral Blood Using Multi‐Object Detection Network With Large Kernels. Microscopy Research and Technique. 88(5). 1367–1382. 2 indexed citations
5.
Mei, Liye, et al.. (2025). ADMNet: adaptive deformable convolution large model combining multi-level progressive fusion for Building Change Detection. Geo-spatial Information Science. 28(5). 2326–2343. 4 indexed citations
6.
Mei, Liye, Zhaoyi Ye, Linfeng Tang, et al.. (2024). GTMFuse: Group-attention transformer-driven multiscale dense feature-enhanced network for infrared and visible image fusion. Knowledge-Based Systems. 293. 111658–111658. 22 indexed citations
7.
Wang, Mingwei, et al.. (2024). DAT-Net: Deep Aggregation Transformer Network for automatic nuclear segmentation. Biomedical Signal Processing and Control. 98. 106764–106764. 3 indexed citations
8.
Ma, Xiao, Jie Huang, Mengping Long, et al.. (2024). CellSAM: Advancing Pathologic Image Cell Segmentation via Asymmetric Large‐Scale Vision Model Feature Distillation Aggregation Network. Microscopy Research and Technique. 88(2). 501–515. 1 indexed citations
9.
Xu, Chuan, Zhaoyi Ye, Liye Mei, et al.. (2024). Hybrid Attention-Aware Transformer Network Collaborative Multiscale Feature Alignment for Building Change Detection. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 24 indexed citations
10.
Hu, Taobo, Mengping Long, Zhaoyi Ye, et al.. (2024). MRRM: Advanced Biomarker Alignment in Multi-Staining Pathology Images via Multi-Scale Ring Rotation-Invariant Matching. IEEE Journal of Biomedical and Health Informatics. 29(2). 1189–1198. 1 indexed citations
11.
Xu, Chuan, et al.. (2024). Rethinking Building Change Detection: Dual-Frequency Learnable Visual Encoder With Multiscale Integration Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 6174–6188. 9 indexed citations
12.
Mei, Liye, Jing He, Lan Dong, et al.. (2024). High‐Accuracy and Lightweight Image Classification Network for Optimizing Lymphoblastic Leukemia Diagnosis. Microscopy Research and Technique. 88(2). 489–500. 3 indexed citations
13.
Hu, Taobo, Mengping Long, Xiao Ma, et al.. (2024). MSGM: An Advanced Deep Multi-Size Guiding Matching Network for Whole Slide Histopathology Images Addressing Staining Variation and Low Visibility Challenges. IEEE Journal of Biomedical and Health Informatics. 28(10). 1–12. 3 indexed citations
15.
Chen, Xuhui, et al.. (2024). Global Semantic-Sense Aggregation Network for Salient Object Detection in Remote Sensing Images. Entropy. 26(6). 445–445. 2 indexed citations
16.
Shen, Hui, Liye Mei, Li Liu, et al.. (2023). Typing of acute leukemia by intelligent optical time-stretch imaging flow cytometry on a chip. Lab on a Chip. 23(6). 1703–1712. 12 indexed citations
17.
Xu, Chuan, Zhaoyi Ye, Liye Mei, et al.. (2023). Progressive Context-Aware Aggregation Network Combining Multi-Scale and Multi-Level Dense Reconstruction for Building Change Detection. Remote Sensing. 15(8). 1958–1958. 11 indexed citations
18.
Xu, Chuan, Qi Zhang, Liye Mei, et al.. (2023). Cross-Attention-Guided Feature Alignment Network for Road Crack Detection. ISPRS International Journal of Geo-Information. 12(9). 382–382. 10 indexed citations
19.
Xu, Chuan, Liye Mei, Zhaoyi Ye, et al.. (2023). Dense Multiscale Feature Learning Transformer Embedding Cross-Shaped Attention for Road Damage Detection. Electronics. 12(4). 898–898. 9 indexed citations
20.
Mei, Liye, Zhaoyi Ye, Ying Wang, et al.. (2023). Building Change Detection in Remote Sensing Imagery with Focal Self-Attention and Multi-Level Feature Fusion. Electronics. 12(13). 2796–2796. 1 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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