Lu Yang

1.8k total citations
70 papers, 1.0k citations indexed

About

Lu Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Lu Yang has authored 70 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 11 papers in Aerospace Engineering. Recurrent topics in Lu Yang's work include Advanced Image and Video Retrieval Techniques (18 papers), Advanced Vision and Imaging (13 papers) and Advanced Neural Network Applications (12 papers). Lu Yang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (18 papers), Advanced Vision and Imaging (13 papers) and Advanced Neural Network Applications (12 papers). Lu Yang collaborates with scholars based in China, Japan and United States. Lu Yang's co-authors include Fang Chen, Bo Yu, Qing Song, Qing Song, Mengjie Hu, Hong Cheng, He Jiang, Jun Guo, Chun Liu and Song‐Chun Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Lu Yang

63 papers receiving 989 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lu Yang China	17	569	291	177	81	79	70	1.0k
Weiqing Yan China	19	600 1.1×	247 0.8×	236 1.3×	109 1.3×	41 0.5×	76	1.1k
Ezequiel López‐Rubio Spain	20	731 1.3×	422 1.5×	200 1.1×	107 1.3×	80 1.0×	119	1.3k
Pengfei Chen China	10	994 1.7×	340 1.2×	302 1.7×	45 0.6×	152 1.9×	18	1.6k
Chun-Fu Richard Chen United States	6	797 1.4×	395 1.4×	199 1.1×	70 0.9×	153 1.9×	12	1.4k
Quan Zhou China	22	1.1k 1.9×	537 1.8×	174 1.0×	55 0.7×	144 1.8×	102	1.7k
Yaping Huang China	19	607 1.1×	266 0.9×	193 1.1×	61 0.8×	61 0.8×	92	1.2k
Abdussalam Elhanashi Italy	19	393 0.7×	304 1.0×	56 0.3×	109 1.3×	119 1.5×	36	1.1k
Mingliang Gao China	17	685 1.2×	302 1.0×	289 1.6×	41 0.5×	38 0.5×	97	1.1k
Yang Lu China	20	577 1.0×	463 1.6×	233 1.3×	57 0.7×	24 0.3×	106	1.3k
İlkay Ulusoy Türkiye	14	387 0.7×	210 0.7×	231 1.3×	42 0.5×	33 0.4×	67	921

Countries citing papers authored by Lu Yang

Since Specialization

Citations

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

Fields of papers citing papers by Lu Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Yang. A scholar is included among the top collaborators of Lu 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 Lu Yang. Lu Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Lu, et al.. (2025). E4C: Enhance Editability for Text-Based Image Editing by Harnessing Efficient CLIP Guidance. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 7167–7180.

Zhao, Wenyi, et al.. (2025). Constructing Balanced Training Samples: A New Perspective on Long-Tailed Classification. IEEE Transactions on Multimedia. 27. 5130–5143. 2 indexed citations

Yang, Lu, et al.. (2025). 497-km distributed acoustic sensing with 20-m spatial resolution 45-pε/√Hz strain resolution and broad-bandwidth. 281–281.

Yang, Fan, et al.. (2024). ECCT: Efficient Contrastive Clustering via Pseudo-Siamese Vision Transformer and Multi-view Augmentation. Neural Networks. 180. 106684–106684. 1 indexed citations

Yang, Lu, et al.. (2024). Deep Learning Technique for Human Parsing: A Survey and Outlook. International Journal of Computer Vision. 132(8). 3270–3301. 9 indexed citations

Zhang, Shi-Xiong, et al.. (2024). Weakly supervised anomaly detection based on sparsity prior. Electronic Research Archive. 32(6). 3728–3741. 1 indexed citations

Yang, Lu, Qin Li, Xiangdong Zhang, & Quanxue Gao. (2024). Deep contrastive representation learning for multi-modal clustering. Neurocomputing. 581. 127523–127523. 4 indexed citations

Zhao, Wenyi, Lu Yang, Weidong Zhang, et al.. (2023). Learning What and Where to Learn: A New Perspective on Self-Supervised Learning. IEEE Transactions on Circuits and Systems for Video Technology. 34(8). 6620–6633. 11 indexed citations

Yang, Lu, et al.. (2023). TIVE: A toolbox for identifying video instance segmentation errors. Neurocomputing. 545. 126321–126321. 5 indexed citations

10.

Zhang, Shixiong, Jiao Li, & Lu Yang. (2023). Survey on low-level controllable image synthesis with deep learning. Electronic Research Archive. 31(12). 7385–7426. 1 indexed citations

11.

Yang, Lu, He Jiang, Qing Song, & Jun Guo. (2022). A Survey on Long-Tailed Visual Recognition. International Journal of Computer Vision. 130(7). 1837–1872. 81 indexed citations

12.

Yang, Xiao, Xiaoming Xi, Lu Yang, et al.. (2022). Multi-modality relation attention network for breast tumor classification. Computers in Biology and Medicine. 150. 106210–106210. 12 indexed citations

13.

Wei, Xing, et al.. (2020). Multiscale information-based conditional generative adversarial nets for downhole track detection. Journal of Image and Graphics. 25(2). 282–293. 2 indexed citations

14.

Yang, Lu, et al.. (2019). Change points detection and parameter estimation for multivariate time series. Soft Computing. 24(9). 6395–6407. 3 indexed citations

15.

Yang, Lu, et al.. (2018). Attention Inspiring Receptive-Fields Network for Learning Invariant Representations. IEEE Transactions on Neural Networks and Learning Systems. 30(6). 1744–1755. 27 indexed citations

16.

He, Yuhang, Lu Yang, & Long Chen. (2017). Real-Time Fashion-Guided Clothing Semantic Parsing: A Lightweight Multi-Scale Inception Neural Network and Benchmark.. National Conference on Artificial Intelligence. 2 indexed citations

17.

Song, Qing, et al.. (2016). Recognition of the smart card iconic numbers. SHILAP Revista de lepidopterología. 44. 2087–2087. 1 indexed citations

18.

Cheng, Hong, et al.. (2014). Kernelized pyramid nearest-neighbor search for object categorization. Machine Vision and Applications. 25(4). 931–941. 3 indexed citations

19.

Zou, Bin, et al.. (2013). The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling. IEEE Transactions on Cybernetics. 44(9). 1497–1507. 12 indexed citations

20.

Yang, Lu, Tomohiro Yendo, Mehrdad Panahpour Tehrani, Toshiaki Fujii, & Masayuki Tanimoto. (2011). View Synthesis Using Probabilistic Reliability Reasoning for FTV. Journal of information processing. 6(2). 539–545. 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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