Jiangyun Li

3.4k total citations · 1 hit paper
71 papers, 1.5k citations indexed

About

Jiangyun Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Control and Systems Engineering. According to data from OpenAlex, Jiangyun Li has authored 71 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 19 papers in Media Technology and 10 papers in Control and Systems Engineering. Recurrent topics in Jiangyun Li's work include Remote-Sensing Image Classification (16 papers), Advanced Neural Network Applications (15 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Jiangyun Li is often cited by papers focused on Remote-Sensing Image Classification (16 papers), Advanced Neural Network Applications (15 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Jiangyun Li collaborates with scholars based in China, United States and United Kingdom. Jiangyun Li's co-authors include Tianxiang Zhang, Zhiyong Xu, Jiahui Geng, Weicun Zhang, Yixin Yin, Zhifang Yang, Meng Ding, Xianzhong Chen, Jinya Su and Chen Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemosphere and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Jiangyun Li

67 papers receiving 1.4k citations

Hit Papers

Real-time Detection of Steel Strip Surface Defects Based ... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangyun Li China 18 612 488 273 194 163 71 1.5k
Zhen Liu China 26 916 1.5× 296 0.6× 198 0.7× 109 0.6× 78 0.5× 134 2.2k
Xin Xu China 23 326 0.5× 434 0.9× 54 0.2× 211 1.1× 144 0.9× 105 1.7k
Dong-Chen He Canada 17 859 1.4× 578 1.2× 59 0.2× 224 1.2× 254 1.6× 40 1.7k
Xingxing Xie China 15 1.2k 2.0× 964 2.0× 144 0.5× 145 0.7× 265 1.6× 21 2.0k
Pablo Martínez-González Spain 5 563 0.9× 130 0.3× 60 0.2× 84 0.4× 69 0.4× 8 1.3k
Konstantinos Makantasis Greece 15 425 0.7× 686 1.4× 49 0.2× 105 0.5× 436 2.7× 50 1.4k
Charles A. Harlow United States 14 886 1.4× 359 0.7× 354 1.3× 150 0.8× 100 0.6× 41 1.8k
Alfian Abdul Halin Malaysia 16 266 0.4× 131 0.3× 70 0.3× 118 0.6× 100 0.6× 65 1.1k
Li Wei China 9 415 0.7× 1.3k 2.6× 79 0.3× 199 1.0× 842 5.2× 55 1.8k
Panqu Wang United States 3 895 1.5× 280 0.6× 83 0.3× 47 0.2× 60 0.4× 6 1.4k

Countries citing papers authored by Jiangyun Li

Since Specialization
Citations

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

Fields of papers citing papers by Jiangyun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangyun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangyun Li. A scholar is included among the top collaborators of Jiangyun Li 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 Jiangyun Li. Jiangyun Li 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.
Wang, Hong, Xianzhong Chen, Tianxiang Zhang, et al.. (2025). CATNet: A Small Sample Transfer Learning Method for Key Point Detection of Blast Furnace Burden Surface. ISIJ International. 65(2). 246–256.
2.
Zhang, Tianxiang, et al.. (2025). Referring Remote Sensing Image Segmentation via Multiscale Spatially-Guided Joint Prediction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 19. 2796–2811.
3.
Zhuang, Peixian, Xiaochen Zhang, Hao Wang, et al.. (2025). FAHM: Frequency-Aware Hierarchical Mamba for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 6299–6313. 5 indexed citations
4.
Li, Jiangyun, et al.. (2024). Hyper-S3NN: Spatial–spectral spiking neural network for hyperspectral image classification. Infrared Physics & Technology. 138. 105251–105251. 5 indexed citations
5.
Zhuang, Peixian, Jiangyun Li, Qing Li, Lei Cai, & Sam Kwong. (2024). Decomposition–Estimation–Reconstruction: An Automatic and Accurate Neuron Extraction Paradigm. IEEE Transactions on Cybernetics. 54(10). 5938–5951. 7 indexed citations
6.
Li, Jiangyun, et al.. (2024). A review of remote sensing image segmentation by deep learning methods. International Journal of Digital Earth. 17(1). 30 indexed citations
7.
Wang, Wenxuan, et al.. (2024). CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation. IEEE Transactions on Multimedia. 26. 6906–6916. 8 indexed citations
8.
Wang, Jing, et al.. (2024). Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5463–5471. 7 indexed citations
9.
Ma, Jinge, et al.. (2023). UCTNet with Dual-Flow Architecture: Snow Coverage Mapping with Sentinel-2 Satellite Imagery. Remote Sensing. 15(17). 4213–4213. 5 indexed citations
10.
Li, Jiangyun, et al.. (2023). Positive–negative equal contrastive loss for semantic segmentation. Neurocomputing. 535. 13–24. 4 indexed citations
11.
Jiang, Yu, Yu Shang, Wei Zhang, et al.. (2022). Assessing the effect of SiO2 and TiO2 nanoparticles on granule stability and microbial community shift in aerobic granular sludge process. Chemosphere. 307(Pt 2). 135677–135677. 12 indexed citations
12.
Li, Jiangyun, Hong Yu, Chen Chen, Meng Ding, & Sen Zha. (2022). Category guided attention network for brain tumor segmentation in MRI. Physics in Medicine and Biology. 67(8). 85014–85014. 14 indexed citations
13.
Yu, Hong, et al.. (2021). Image‐Based Iron Slag Segmentation via Graph Convolutional Networks. Complexity. 2021(1). 2 indexed citations
14.
Zhang, Tianxiang, et al.. (2021). Sentinel-2 Satellite Imagery for Urban Land Cover Classification by Optimized Random Forest Classifier. Applied Sciences. 11(2). 543–543. 84 indexed citations
15.
Zeng, Chan, et al.. (2019). Real-Time Conveyor Belt Deviation Detection Algorithm Based on Multi-Scale Feature Fusion Network. Algorithms. 12(10). 205–205. 29 indexed citations
16.
Liu, Jing, Yuhang Wang, Yong Li, et al.. (2018). Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation. IEEE Transactions on Neural Networks and Learning Systems. 29(11). 5655–5666. 48 indexed citations
17.
Li, Jiangyun, et al.. (2012). A water flow control method of quenching cooling system based on smith predictor. 31. 459–462. 1 indexed citations
18.
Li, Jiangyun. (2009). Constrained generalized predictive control of mould level based on genetic algorithm. Kongzhi yu juece. 3 indexed citations
19.
Li, Jiangyun. (2008). Discrete variable structure control based on neural network on looper system. Kongzhi yu juece. 1 indexed citations
20.
Li, Jiangyun. (2004). Structure-parameter Optimized Study of Self-exicited Oscillation Pulsation-jet Nozzle in Low-press and Amount-flux. Fluid Machinery. 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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