Yue Lu

4.6k total citations · 1 hit paper
124 papers, 2.5k citations indexed

About

Yue Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yue Lu has authored 124 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Vision and Pattern Recognition, 34 papers in Artificial Intelligence and 14 papers in Media Technology. Recurrent topics in Yue Lu's work include Handwritten Text Recognition Techniques (35 papers), Advanced Image and Video Retrieval Techniques (30 papers) and Image Retrieval and Classification Techniques (26 papers). Yue Lu is often cited by papers focused on Handwritten Text Recognition Techniques (35 papers), Advanced Image and Video Retrieval Techniques (30 papers) and Image Retrieval and Classification Techniques (26 papers). Yue Lu collaborates with scholars based in China, United States and Singapore. Yue Lu's co-authors include ChengXiang Zhai, Leiliang Zhang, Hongning Wang, Junwen Luan, Chew Lim Tan, Qiaozhu Mei, Livia Polanyi, Alexandros Ntoulas, Panayiotis Tsaparas and Qingqing Wang and has published in prestigious journals such as PLoS ONE, Circulation Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Yue Lu

118 papers receiving 2.4k citations

Hit Papers

Latent aspect rating analysis on review text data 2010 2026 2015 2020 2010 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue Lu China 25 918 645 451 346 223 124 2.5k
Manjit Kaur India 31 1.2k 1.3× 898 1.4× 391 0.9× 149 0.4× 39 0.2× 81 3.4k
Volker Röth Switzerland 36 1.2k 1.4× 670 1.0× 484 1.1× 152 0.4× 119 0.5× 133 4.4k
Yunlong Wang China 23 369 0.4× 1.1k 1.7× 440 1.0× 370 1.1× 25 0.1× 180 3.3k
Roni Rosenfeld United States 36 2.9k 3.2× 617 1.0× 734 1.6× 183 0.5× 182 0.8× 134 5.5k
Chi‐Ren Shyu United States 28 622 0.7× 975 1.5× 313 0.7× 211 0.6× 68 0.3× 191 3.1k
Ying Zhao United States 21 1.3k 1.4× 435 0.7× 540 1.2× 82 0.2× 35 0.2× 80 2.8k
Satwinder Singh India 24 340 0.4× 176 0.3× 374 0.8× 120 0.3× 64 0.3× 100 2.9k
Chris Watkins United Kingdom 14 2.7k 2.9× 605 0.9× 219 0.5× 76 0.2× 304 1.4× 33 5.5k
Chuan Qin China 42 588 0.6× 4.1k 6.3× 349 0.8× 94 0.3× 47 0.2× 260 5.1k
Xiao-Ming Wu China 27 1.9k 2.1× 1.3k 2.0× 520 1.2× 87 0.3× 42 0.2× 165 3.9k

Countries citing papers authored by Yue Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yue Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Lu. A scholar is included among the top collaborators of Yue Lu 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 Yue Lu. Yue Lu 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.
Lu, Yue, et al.. (2024). GCENet: A geometric correspondence estimation network for tracking and loop detection in visual–inertial SLAM. Expert Systems with Applications. 262. 125659–125659.
2.
Pang, S. W., et al.. (2024). Diff-TST: Diffusion model for one-shot text-image style transfer. Expert Systems with Applications. 263. 125747–125747. 2 indexed citations
3.
Wang, Yao‐Chin, et al.. (2024). An AI Approach to Support Student Mental Health: Case of Developing an AI-Powered Web-Platform with Nature-Based Mindfulness. Journal of Hospitality & Tourism Education. 36(3). 267–280. 2 indexed citations
4.
Zhang, Lingjun, Xinyuan Chen, Yaohui Wang, Yue Lu, & Yu Qiao. (2024). Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 7215–7223. 5 indexed citations
5.
Xiong, Yu-Jie, et al.. (2024). Enhanced video clustering using multiple riemannian manifold-valued descriptors and audio-visual information. Expert Systems with Applications. 246. 123099–123099. 2 indexed citations
6.
Shivakumara, Palaiahnakote, et al.. (2024). TANet: Text region attention learning for vehicle re-identification. Engineering Applications of Artificial Intelligence. 133. 108448–108448. 8 indexed citations
7.
Shivakumara, Palaiahnakote, et al.. (2024). NDOrder: Exploring a novel decoding order for scene text recognition. Expert Systems with Applications. 249. 123771–123771. 2 indexed citations
8.
Yin, Zhaoxia, et al.. (2024). Adaptive watermarking with self-mutual check parameters in deep neural networks. Pattern Recognition Letters. 180. 9–15. 4 indexed citations
9.
Lu, Yue, et al.. (2024). VGTS: Visually Guided Text Spotting for novel categories in historical manuscripts. Expert Systems with Applications. 261. 125557–125557. 1 indexed citations
10.
Zhang, Kun, et al.. (2023). Crop type recognition of VGI road-side images via hierarchy structure based on semantic segmentation model Deeplabv3+. Displays. 81. 102574–102574. 10 indexed citations
11.
Chen, Xinyuan, et al.. (2023). Weakly supervised scene text generation for low-resource languages. Expert Systems with Applications. 237. 121622–121622. 4 indexed citations
12.
Lu, Yue, Xinlu Wang, Cheng Cheng, et al.. (2023). NPRC deletion attenuates cardiac fibrosis in diabetic mice by activating PKA/PKG and inhibiting TGF-β1/Smad pathways. Science Advances. 9(31). eadd4222–eadd4222. 53 indexed citations
14.
Zhou, Yong, Hui Ma, Li Liu, et al.. (2023). Feature fusion and decomposition: exploring a new way for Chinese calligraphy style classification. The Visual Computer. 40(3). 1631–1642. 1 indexed citations
15.
Lu, Yue, et al.. (2022). The emerging roles of retromer and sorting nexins in the life cycle of viruses. Virologica Sinica. 37(3). 321–330. 10 indexed citations
16.
Wang, Yan, Mei Zhou, Xinyuan Chen, et al.. (2021). Swin-Spectral Transformer for Cholangiocarcinoma Hyperspectral Image Segmentation. 1–6. 7 indexed citations
17.
Lu, Yue, et al.. (2020). Emerging Role for Acyl-CoA Binding Domain Containing 3 at Membrane Contact Sites During Viral Infection. Frontiers in Microbiology. 11. 608–608. 5 indexed citations
18.
Lu, Yue & Leiliang Zhang. (2020). Social media WeChat infers the development trend of COVID-19. Journal of Infection. 81(1). e82–e83. 34 indexed citations
19.
Zhang, Liangqing, Jingjing Wang, Du Feng, et al.. (2018). Propofol prevents human umbilical vein endothelial cell injury from Ang II-induced apoptosis by activating the ACE2-(1-7)-Mas axis and eNOS phosphorylation. PLoS ONE. 13(7). e0199373–e0199373. 20 indexed citations
20.
Lu, Yue, Xingyue Liu, Fumio Hayashi, Mengqing Wang, & Ding Yang. (2015). Molecular systematics of the fishfly genus Anachauliodes Kimmins, 1954 (Megaloptera: Corydalidae: Chauliodinae). Zootaxa. 3941(1). 91–103. 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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