Degang Yang

946 total citations · 1 hit paper
59 papers, 515 citations indexed

About

Degang Yang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Degang Yang has authored 59 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 21 papers in Computer Vision and Pattern Recognition and 15 papers in Artificial Intelligence. Recurrent topics in Degang Yang's work include Neural Networks Stability and Synchronization (17 papers), Nonlinear Dynamics and Pattern Formation (10 papers) and Advanced Neural Network Applications (9 papers). Degang Yang is often cited by papers focused on Neural Networks Stability and Synchronization (17 papers), Nonlinear Dynamics and Pattern Formation (10 papers) and Advanced Neural Network Applications (9 papers). Degang Yang collaborates with scholars based in China, Hong Kong and Qatar. Degang Yang's co-authors include Yong Wang, Kwok‐Wo Wong, Xiaofeng Liao, Jie Zhou, Huaqian Yang, Tingting Song, Xiaofeng Liao, Yingze Song, Tao Xiang and Wanli Zhang and has published in prestigious journals such as Expert Systems with Applications, Analytica Chimica Acta and Physics Letters A.

In The Last Decade

Degang Yang

55 papers receiving 482 citations

Hit Papers

LDConv: Linear deformable convolution for improving convo... 2024 2026 2025 2024 20 40 60
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.

  1. LDConv: Linear deformable convolution for improving convolutional neural networks
    2024 69 citations Yingze Song, Tingting Song et al. Image and Vision Computing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Degang Yang China 13 211 140 128 96 39 59 515
Yongfeng Yin China 11 69 0.3× 103 0.7× 73 0.6× 32 0.3× 9 0.2× 56 404
Amir Rikhtehgar Ghiasi Iran 13 34 0.2× 120 0.9× 103 0.8× 60 0.6× 44 1.1× 45 606
Xiangli Yang China 3 215 1.0× 28 0.2× 322 2.5× 20 0.2× 16 0.4× 7 670
Qiang He China 10 79 0.4× 53 0.4× 169 1.3× 13 0.1× 21 0.5× 39 419
Jorge Gomes Portugal 11 60 0.3× 138 1.0× 247 1.9× 7 0.1× 40 1.0× 31 473
Lida Zhou China 5 132 0.6× 36 0.3× 218 1.7× 58 0.6× 15 0.4× 7 391

Countries citing papers authored by Degang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Degang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Degang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Degang Yang. A scholar is included among the top collaborators of Degang Yang 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 Degang Yang. Degang Yang 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
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Zhou, Jie, et al.. (2024). Improved YOLOv7 models based on modulated deformable convolution and swin transformer for object detection in fisheye images. Image and Vision Computing. 144. 104966–104966. 6 indexed citations
3.
Feng, Ji, et al.. (2024). Hierarchical clustering algorithm based on Crystallized neighborhood graph for identifying complex structured datasets. Expert Systems with Applications. 265. 125714–125714. 1 indexed citations
4.
Liu, Yongli, et al.. (2024). YOLO-SSP: an object detection model based on pyramid spatial attention and improved downsampling strategy for remote sensing images. The Visual Computer. 41(3). 1467–1484. 14 indexed citations
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Chen, Guo, et al.. (2024). Privacy-preserving incentive mechanism for integrated demand response: A homomorphic encryption-based approach. International Journal of Electrical Power & Energy Systems. 164. 110407–110407. 4 indexed citations
7.
Yang, Degang, et al.. (2024). Lightweight object detection algorithm for road scenes based on YOLOV8. 54–54. 2 indexed citations
8.
Song, Tingting, et al.. (2023). Lightweight detection network based on receptive-field feature enhancement convolution and three dimensions attention for images captured by UAVs. Image and Vision Computing. 140. 104855–104855. 6 indexed citations
9.
Yang, Degang, et al.. (2023). Evaluating Landslide Susceptibility Using Sampling Methodology and Multiple Machine Learning Models. ISPRS International Journal of Geo-Information. 12(5). 197–197. 24 indexed citations
10.
Yang, Degang, Jie Zhou, Tingting Song, Xin Zhang, & Yingze Song. (2023). PGDS-YOLOv8s: An Improved YOLOv8s Model for Object Detection in Fisheye Images. Applied Sciences. 14(1). 44–44. 4 indexed citations
11.
Li, Ke, et al.. (2023). Image Style Transfer Based on Dynamic Convolutional Manifold Alignment of Halo Attention. Electronics. 12(8). 1881–1881. 1 indexed citations
12.
Yang, Degang, et al.. (2023). Finite-Time Bipartite Synchronization of Networked Systems with Time-Varying and Random Coupling Delays. Circuits Systems and Signal Processing. 42(11). 6544–6563. 3 indexed citations
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Li, Mingyong, et al.. (2022). Semantic-guided autoencoder adversarial hashing for large-scale cross-modal retrieval. Complex & Intelligent Systems. 8(2). 1603–1617. 4 indexed citations
15.
Feng, Ji, et al.. (2021). An Effective Clustering Algorithm Using Adaptive Neighborhood and Border Peeling Method. Computational Intelligence and Neuroscience. 2021(1). 6785580–6785580. 3 indexed citations
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Yang, Degang, et al.. (2008). New delay-dependent exponential stability criteria of BAM neural networks with time delays. Mathematics and Computers in Simulation. 79(5). 1679–1697. 9 indexed citations
18.
Wang, Yong, et al.. (2007). One-Way Hash Function Construction Based on Iterating a Chaotic Map. 791–794. 10 indexed citations
19.
Yang, Degang, Xiaofeng Liao, Yong Chen, Songtao Guo, & Hui Wang. (2007). New delay-dependent global asymptotic stability criteria of delayed Hopfield neural networks. Nonlinear Analysis Real World Applications. 9(5). 1894–1904. 13 indexed citations
20.
Yang, Degang. (2004). A Research into Application of Data Mining Technology in Intrusion Detection. 2 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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