Yulong Wang

1.5k total citations · 2 hit papers
40 papers, 1.1k citations indexed

About

Yulong Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Yulong Wang has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 17 papers in Computational Mechanics and 14 papers in Media Technology. Recurrent topics in Yulong Wang's work include Sparse and Compressive Sensing Techniques (17 papers), Remote-Sensing Image Classification (13 papers) and Face and Expression Recognition (10 papers). Yulong Wang is often cited by papers focused on Sparse and Compressive Sensing Techniques (17 papers), Remote-Sensing Image Classification (13 papers) and Face and Expression Recognition (10 papers). Yulong Wang collaborates with scholars based in China, Macao and United States. Yulong Wang's co-authors include Yuan Yan Tang, Xiaoqiang Lu, Yuan Yuan, Cuiming Zou, Kit Ian Kou, Anyong Qin, Zhaowei Shang, Jinyu Tian, Taiping Zhang and Luoqing Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Hazardous Materials and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Yulong Wang

37 papers receiving 1.1k citations

Hit Papers

Spectral–Spatial Graph Convolutional Networks for Sem... 2013 2026 2017 2021 2018 2013 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulong Wang China 14 608 572 253 221 183 40 1.1k
Taiping Zhang China 17 818 1.3× 550 1.0× 72 0.3× 286 1.3× 169 0.9× 68 1.3k
Yang Xu China 19 478 0.8× 975 1.7× 159 0.6× 290 1.3× 398 2.2× 121 1.5k
Minchao Ye China 15 515 0.8× 831 1.5× 131 0.5× 208 0.9× 396 2.2× 67 1.2k
Lixia Yang China 13 431 0.7× 454 0.8× 57 0.2× 128 0.6× 108 0.6× 38 941
Zengmao Wang China 15 405 0.7× 357 0.6× 47 0.2× 490 2.2× 140 0.8× 46 1.1k
Hongbing Ma China 19 525 0.9× 452 0.8× 69 0.3× 110 0.5× 69 0.4× 93 1.0k
Ruxin Wang China 16 851 1.4× 470 0.8× 70 0.3× 199 0.9× 46 0.3× 46 1.1k
Sei‐ichiro Kamata Japan 18 891 1.5× 288 0.5× 49 0.2× 163 0.7× 50 0.3× 193 1.2k
Minh N. Dao Australia 18 232 0.4× 221 0.4× 156 0.6× 144 0.7× 61 0.3× 62 913
ArulMurugan Ambikapathi Taiwan 13 263 0.4× 706 1.2× 183 0.7× 134 0.6× 283 1.5× 35 1.0k

Countries citing papers authored by Yulong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yulong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yulong Wang. A scholar is included among the top collaborators of Yulong Wang 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 Yulong Wang. Yulong Wang 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
2.
Wang, Yulong, et al.. (2025). Tensor Nuclear Norm-Based Multi-Channel Atomic Representation for Robust Face Recognition. IEEE Transactions on Image Processing. 34. 1311–1325. 1 indexed citations
3.
Deng, Yongjing, Qianxi Li, Ning Ding, et al.. (2025). Regulating charge transfer of copper( i ) coordination compounds via conformation engineering for highly efficient radioluminescence and 3D X-ray imaging. Chemical Science. 16(47). 22690–22700. 1 indexed citations
4.
Wang, Yulong, et al.. (2024). A hierarchical residual correction-based hyperspectral inversion method for soil heavy metals considering spatial heterogeneity. Journal of Hazardous Materials. 479. 135699–135699. 6 indexed citations
5.
Zhai, Ruifang, He Ren, Xinwei He, et al.. (2024). Crops3D: a diverse 3D crop dataset for realistic perception and segmentation toward agricultural applications. Scientific Data. 11(1). 1438–1438. 4 indexed citations
6.
Wang, Libin, Yulong Wang, Hao Deng, & Hong Chen. (2023). Attention reweighted sparse subspace clustering. Pattern Recognition. 139. 109438–109438. 18 indexed citations
7.
Liu, Wei, et al.. (2023). Change Detection in SAR Images through Clustering Fusion Algorithm and Deep Neural Networks. Photogrammetric Engineering & Remote Sensing. 89(6). 373–384. 4 indexed citations
9.
Wang, Yulong, Kit Ian Kou, Hong Chen, Yuan Yan Tang, & Luoqing Li. (2023). Double Auto-Weighted Tensor Robust Principal Component Analysis. IEEE Transactions on Image Processing. 32. 5114–5125. 5 indexed citations
10.
Wang, Yulong, Kit Ian Kou, Cuiming Zou, & Yuan Yan Tang. (2021). Robust Sparse Representation in Quaternion Space. IEEE Transactions on Image Processing. 30. 3637–3649. 19 indexed citations
11.
Zou, Cuiming, Kit Ian Kou, Yulong Wang, & Yuan Yan Tang. (2020). Quaternion block sparse representation for signal recovery and classification. Signal Processing. 179. 107849–107849. 13 indexed citations
12.
Qin, Anyong, Zhaowei Shang, Jinyu Tian, et al.. (2018). Spectral–Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 16(2). 241–245. 297 indexed citations breakdown →
13.
Wang, Yulong, Yuan Yan Tang, Lina Yang, & Cuiming Zou. (2017). Information-theoretic generalized orthogonal matching pursuit for robust pattern classification. 33. 501–506. 1 indexed citations
14.
Zou, Cuiming, Kit Ian Kou, & Yulong Wang. (2016). Quaternion Collaborative and Sparse Representation With Application to Color Face Recognition. IEEE Transactions on Image Processing. 25(7). 3287–3302. 138 indexed citations
15.
Wang, Yulong, Yuan Yan Tang, & Luoqing Li. (2016). Correntropy Matching Pursuit With Application to Robust Digit and Face Recognition. IEEE Transactions on Cybernetics. 47(6). 1354–1366. 46 indexed citations
16.
Luo, Huiwu, Yuan Yan Tang, Yulong Wang, et al.. (2016). Hyperspectral Image Classification Based on Spectral–Spatial One-Dimensional Manifold Embedding. IEEE Transactions on Geoscience and Remote Sensing. 54(9). 5319–5340. 19 indexed citations
17.
Chen, Hong & Yulong Wang. (2016). Kernel-based sparse regression with the correntropy-induced loss. Applied and Computational Harmonic Analysis. 44(1). 144–164. 24 indexed citations
18.
Tang, Yuan Yan, Yulong Wang, Luoqing Li, & C. L. Philip Chen. (2015). Structural Atomic Representation for Classification. IEEE Transactions on Cybernetics. 45(12). 2905–2913. 8 indexed citations
19.
Luo, Huiwu, Yuan Yan Tang, Yulong Wang, et al.. (2015). Hyperspectral image classification using One Dimensional Manifold Embedding with Spectral-Spatial based affinity metric. 8. 394–398. 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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