Ye Zhang

6.1k total citations
312 papers, 3.7k citations indexed

About

Ye Zhang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Ye Zhang has authored 312 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Media Technology, 148 papers in Computer Vision and Pattern Recognition and 81 papers in Atmospheric Science. Recurrent topics in Ye Zhang's work include Remote-Sensing Image Classification (139 papers), Remote Sensing and Land Use (81 papers) and Advanced Image Fusion Techniques (72 papers). Ye Zhang is often cited by papers focused on Remote-Sensing Image Classification (139 papers), Remote Sensing and Land Use (81 papers) and Advanced Image Fusion Techniques (72 papers). Ye Zhang collaborates with scholars based in China, United States and United Kingdom. Ye Zhang's co-authors include Junping Zhang, Yanfeng Gu, Tong Li, Byron Wallace, Iain Marshall, Shengwei Zhong, Shahid Karim, Shoulin Yin, Chandra Kambhamettu and Di You and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Journal of Materials Chemistry A.

In The Last Decade

Ye Zhang

286 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Zhang China 30 1.9k 1.4k 905 647 350 312 3.7k
Fang Liu China 30 1.6k 0.8× 1.1k 0.8× 646 0.7× 475 0.7× 513 1.5× 150 3.1k
Qian Zhang China 28 1.0k 0.5× 1.6k 1.1× 399 0.4× 485 0.7× 274 0.8× 175 3.8k
Shiv Ram Dubey India 31 1.6k 0.8× 1.9k 1.3× 885 1.0× 825 1.3× 143 0.4× 69 4.7k
Zhengxia Zou China 34 2.0k 1.0× 3.0k 2.1× 497 0.5× 762 1.2× 781 2.2× 113 5.4k
Jiaqi Zhao China 29 862 0.4× 1.4k 0.9× 351 0.4× 583 0.9× 297 0.8× 227 3.4k
Hongjun Su China 30 2.8k 1.4× 1.2k 0.8× 1.7k 1.9× 584 0.9× 200 0.6× 145 3.9k
Xu Tang China 38 2.1k 1.1× 2.2k 1.5× 836 0.9× 723 1.1× 513 1.5× 166 4.0k
Mengmeng Zhang China 30 3.0k 1.5× 1.3k 0.9× 1.4k 1.5× 747 1.2× 351 1.0× 164 4.5k
Wei He China 38 3.2k 1.7× 3.1k 2.2× 619 0.7× 270 0.4× 247 0.7× 184 5.3k
Shuang Wang China 31 1.1k 0.6× 1.5k 1.0× 411 0.5× 478 0.7× 1.0k 2.9× 196 3.1k

Countries citing papers authored by Ye Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ye Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Zhang. A scholar is included among the top collaborators of Ye Zhang 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 Ye Zhang. Ye Zhang 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.
Zhou, Zheng, et al.. (2025). Seismic damage prediction of rockfill dams based on crest settlement and missing data imputation. Engineering Structures. 330. 119959–119959. 1 indexed citations
3.
Liu, Shuai, et al.. (2024). Monitoring the circumferential cracking of inner concrete core in prestressed concrete cylinder pipe during wire-wrapping using distributed optical fiber sensors. Tunnelling and Underground Space Technology. 157. 106330–106330. 6 indexed citations
4.
Zhang, Ye, Wenwei Zhang, Yanlong Li, Lifeng Wen, & Xinjian Sun. (2024). AF-OS-ELM-MVE: A new online sequential extreme learning machine of dam safety monitoring model for structure deformation estimation. Advanced Engineering Informatics. 60. 102345–102345. 34 indexed citations
5.
Zhang, Ye, Wenwei Zhang, Yanlong Li, Lifeng Wen, & Xinjian Sun. (2024). A multi-output prediction model for the high arch dam displacement utilizing the VMD-DTW partitioning technique and long-term temperature. Expert Systems with Applications. 267. 126135–126135. 3 indexed citations
6.
Kang, Xinyu, et al.. (2024). PCA-IEM-DARNN: An enhanced dual-stage deep learning prediction model for concrete dam deformation based on feature decomposition. Measurement. 242. 115664–115664. 7 indexed citations
7.
Zhang, Junping, et al.. (2024). Multisource Domain Generalization Two-Branch Network for Hyperspectral Image Cross-Domain Classification. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 8 indexed citations
8.
Zhang, Ye, Wen Zhong, Yanlong Li, & Lifeng Wen. (2023). A deep learning prediction model of DenseNet-LSTM for concrete gravity dam deformation based on feature selection. Engineering Structures. 295. 116827–116827. 51 indexed citations
9.
Zhang, Ye, et al.. (2023). Deep ensemble learning for quantitative geological fracture analysis using borehole televiewer images. Journal of Applied Geophysics. 213. 105046–105046. 2 indexed citations
10.
Zhang, Junping, et al.. (2023). A Lightweight Object Detection and Recognition Method Based on Light Global-Local Module for Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 8 indexed citations
11.
Zhang, Junping, et al.. (2023). Multiview Feature Learning and Multilevel Information Fusion for Joint Classification of Hyperspectral and LiDAR Data. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 17 indexed citations
12.
Zhang, Junping, et al.. (2022). Heterogeneous Spectral-Spatial Feature Transfer With Structure Preserved Distribution Alignment for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 5545–5558. 4 indexed citations
13.
Zhang, Ye, et al.. (2022). Hierarchical CNN Classification of Hyperspectral Images Based on 3-D Attention Soft Augmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 4217–4233. 7 indexed citations
14.
Zhang, Junping, et al.. (2021). A Multiview Spectral–Spatial Feature Extraction and Fusion Framework for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 7 indexed citations
15.
Cao, Pei, Hao Chen, Ye Zhang, & Gang Wang. (2019). Multi-View Frustum Pointnet for Object Detection in Autonomous Driving. 3896–3899. 29 indexed citations
17.
Zhang, Junping, et al.. (2017). Target Detection for Polarized Hyperspectral Images Based on Tensor Decomposition. IEEE Geoscience and Remote Sensing Letters. 14(5). 674–678. 17 indexed citations
18.
Tian, Shu, Ye Zhang, Junping Zhang, & Nan Su. (2017). A Novel Deep Embedding Network for Building Shape Recognition. IEEE Geoscience and Remote Sensing Letters. 14(11). 2127–2131. 5 indexed citations
19.
Lu, Xiaochen, et al.. (2016). Pan-Sharpening by Multilevel Interband Structure Modeling. IEEE Geoscience and Remote Sensing Letters. 13(7). 892–896. 11 indexed citations
20.
Zhang, Ye, et al.. (2008). Vehicle number plate recognition using hybrid mathematical morphological techniques. International Conference on Signal Processing. 382(9890). 127–133. 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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