Long Yu

906 total citations
43 papers, 581 citations indexed

About

Long Yu is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Long Yu has authored 43 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Information Systems and 9 papers in Artificial Intelligence. Recurrent topics in Long Yu's work include Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Spam and Phishing Detection (4 papers). Long Yu is often cited by papers focused on Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Spam and Phishing Detection (4 papers). Long Yu collaborates with scholars based in China, Spain and Singapore. Long Yu's co-authors include Shengwei Tian, Junlong Cheng, Hongchun Lu, Xin Ning, Xinyu Shi, Xia Sun, Yilin Yan, Xiaoyi Lv, Jiong Yu and Shengwei Tian and has published in prestigious journals such as PLoS ONE, IEEE Access and Energy.

In The Last Decade

Long Yu

40 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Yu China 15 148 133 122 112 92 43 581
Ali Yaşar Türkiye 15 94 0.6× 60 0.5× 222 1.8× 49 0.4× 58 0.6× 36 732
Yuhai Zhao China 16 141 1.0× 152 1.1× 421 3.5× 85 0.8× 134 1.5× 95 790
Xiaofeng Zou China 14 36 0.2× 144 1.1× 204 1.7× 73 0.7× 62 0.7× 70 910
Barbara Pes Italy 12 77 0.5× 125 0.9× 270 2.2× 51 0.5× 154 1.7× 47 563
N. Yuvaraj India 16 85 0.6× 92 0.7× 206 1.7× 155 1.4× 25 0.3× 50 625
Rui Tang China 15 87 0.6× 79 0.6× 328 2.7× 68 0.6× 60 0.7× 44 675
Yi Zhuang China 9 106 0.7× 129 1.0× 117 1.0× 95 0.8× 13 0.1× 50 464
Yue Chen China 15 56 0.4× 418 3.1× 261 2.1× 178 1.6× 116 1.3× 67 1.1k
Heba G. Mohamed Saudi Arabia 17 73 0.5× 165 1.2× 147 1.2× 101 0.9× 50 0.5× 73 695

Countries citing papers authored by Long Yu

Since Specialization
Citations

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

Fields of papers citing papers by Long Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Long Yu. A scholar is included among the top collaborators of Long Yu 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 Long Yu. Long Yu 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.
Yu, Long, et al.. (2025). Lightweight dual-stream multi-scale feature fusion medical image multi-disease adaptation classification network based on guided enhancement. Engineering Applications of Artificial Intelligence. 163. 113083–113083.
2.
Tian, Shengwei, et al.. (2025). OD-DDA: Real-Time Object Detector with Dual Dynamic Adaptation in Variable Scenes. Knowledge-Based Systems. 320. 113611–113611.
3.
Tian, Shengwei, Long Yu, Xing Fan, et al.. (2025). Mdcsnet: multi-scale dynamic spatial information fusion with criticality sampling for point cloud classification. The Journal of Supercomputing. 81(2). 3 indexed citations
4.
Zhang, Haonan, et al.. (2025). Characteristic band selection of hyperspectral unmixing based on pixel simulation experiment. Spectroscopy Letters. 58(8). 794–806. 1 indexed citations
5.
Fan, Xin, et al.. (2024). PS-YOLO: a small object detector based on efficient convolution and multi-scale feature fusion. Multimedia Systems. 30(5). 13 indexed citations
6.
Wei, Wei, et al.. (2024). A novel monitoring method based on the fusion of sound and image signals for laser welding penetration status. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 239(11). 1607–1619. 1 indexed citations
7.
Ren, Shaojie, et al.. (2024). DHC-YOLO: An Improved YOLOv8 for Lesion Detection in Medical Images*. 167–171. 1 indexed citations
8.
Wang, Jing, Long Yu, & Shengwei Tian. (2024). Cross-attention interaction learning network for multi-model image fusion via transformer. Engineering Applications of Artificial Intelligence. 139. 109583–109583. 10 indexed citations
9.
Fan, Xin, et al.. (2024). ECRNet: Hybrid Network for Skin Cancer Identification. IEEE Access. 12. 67880–67888. 6 indexed citations
10.
Wang, Guoqi, et al.. (2023). PCTN: Point cloud data transformation network. Displays. 81. 102610–102610. 10 indexed citations
11.
Yu, Long, et al.. (2022). Diagnosis of Alzheimer’s disease using 2D dynamic magnetic resonance imaging. Journal of Ambient Intelligence and Humanized Computing. 14(8). 10153–10163. 9 indexed citations
12.
Lu, Hongchun, Shengwei Tian, Long Yu, et al.. (2021). DCACNet: Dual context aggregation and attention-guided cross deconvolution network for medical image segmentation. Computer Methods and Programs in Biomedicine. 214. 106566–106566. 11 indexed citations
13.
Cheng, Junlong, Shengwei Tian, Long Yu, Hongchun Lu, & Xiaoyi Lv. (2020). Fully convolutional attention network for biomedical image segmentation. Artificial Intelligence in Medicine. 107. 101899–101899. 57 indexed citations
14.
Yu, Long, et al.. (2020). End‐to‐end analysis modeling of vibrational spectroscopy based on deep learning approach. Journal of Chemometrics. 34(10). 10 indexed citations
15.
Liu, Zhiqiang, et al.. (2019). Fork-free hybrid consensus with flexible Proof-of-Activity. Future Generation Computer Systems. 96. 515–524. 31 indexed citations
16.
Wang, Huanhuan, et al.. (2019). Bidirectional LSTM Malicious webpages detection algorithm based on convolutional neural network and independent recurrent neural network. Applied Intelligence. 49(8). 3016–3026. 34 indexed citations
17.
Zhu, Bo, Lichun Sun, Wei Luo, et al.. (2017). Activated Notch signaling augments cell growth in hepatocellular carcinoma via up-regulating the nuclear receptor NR4A2. Oncotarget. 8(14). 23289–23302. 16 indexed citations
18.
Chen, Jianhong, et al.. (2012). Ciphertext Policy Attribute-Based Parallel Key-Insulated Encryption. Journal of Software. 23(10). 2795–2804.
19.
Xu, Min, Lu Yu, Bo Wan, Long Yu, & Qiang Huang. (2011). Predicting Inactive Conformations of Protein Kinases Using Active Structures: Conformational Selection of Type-II Inhibitors. PLoS ONE. 6(7). e22644–e22644. 20 indexed citations
20.
Yu, Long, Pingzhao Zhang, Jianming Jiang, et al.. (2002). Human neuronal calcium sensor-1 shows the highest expression level in cerebral cortex. Neuroscience Letters. 319(2). 67–70. 16 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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