Shenlong Wang

5.0k total citations · 1 hit paper
68 papers, 1.8k citations indexed

About

Shenlong Wang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Civil and Structural Engineering. According to data from OpenAlex, Shenlong Wang has authored 68 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 13 papers in Aerospace Engineering and 11 papers in Civil and Structural Engineering. Recurrent topics in Shenlong Wang's work include Advanced Vision and Imaging (13 papers), Robotics and Sensor-Based Localization (12 papers) and Remote Sensing and LiDAR Applications (7 papers). Shenlong Wang is often cited by papers focused on Advanced Vision and Imaging (13 papers), Robotics and Sensor-Based Localization (12 papers) and Remote Sensing and LiDAR Applications (7 papers). Shenlong Wang collaborates with scholars based in China, United States and Canada. Shenlong Wang's co-authors include Raquel Urtasun, Lei Zhang, Quan Pan, Sanja Fidler, Liang Yan, Gellért Máttyus, Wei-Chiu Ma, Meng Yang, David Zhang and Justin Liang and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and Advanced Functional Materials.

In The Last Decade

Shenlong Wang

65 papers receiving 1.7k citations

Hit Papers

Semi-coupled dictionary learning with applications to ima... 2012 2026 2016 2021 2012 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
Shenlong Wang China 22 1.2k 316 308 250 244 68 1.8k
Chunxiang Wang China 24 864 0.7× 520 1.6× 138 0.4× 228 0.9× 116 0.5× 173 2.0k
Sridhar Lakshmanan United States 16 1.4k 1.2× 175 0.6× 204 0.7× 250 1.0× 102 0.4× 68 2.0k
Peize Sun Hong Kong 13 1.9k 1.6× 313 1.0× 274 0.9× 76 0.3× 109 0.4× 13 2.5k
N. M. Kwok Australia 24 1.1k 1.0× 790 2.5× 233 0.8× 105 0.4× 99 0.4× 110 2.6k
Suya You United States 23 1.3k 1.1× 634 2.0× 122 0.4× 655 2.6× 260 1.1× 108 2.1k
A.Y. Ng United States 16 1.5k 1.3× 513 1.6× 551 1.8× 197 0.8× 49 0.2× 18 2.2k
Peter Henry United States 11 1.9k 1.6× 1.2k 3.7× 268 0.9× 205 0.8× 137 0.6× 11 2.4k
Hassan Foroosh United States 22 1.7k 1.4× 358 1.1× 218 0.7× 288 1.2× 43 0.2× 135 2.4k
Liang Liu China 15 1.1k 0.9× 419 1.3× 210 0.7× 92 0.4× 72 0.3× 68 1.6k

Countries citing papers authored by Shenlong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shenlong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenlong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shenlong Wang. A scholar is included among the top collaborators of Shenlong 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 Shenlong Wang. Shenlong 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
1.
Hua, Xugang, et al.. (2025). Miura-origami inspired quasi-zero stiffness low-frequency vibration isolator. International Journal of Mechanical Sciences. 295. 110283–110283. 2 indexed citations
2.
Gao, Yuyu, Weili Deng, Shenlong Wang, et al.. (2025). A wearable all-in-one obstructive sleep apnea management system with flexible piezoelectric monitoring and soft magnetoelastic stimulating. Matter. 8(11). 102323–102323. 2 indexed citations
3.
Wang, Shenlong, et al.. (2025). VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction. 6761–6771. 1 indexed citations
4.
Wu, Di, et al.. (2024). Uncertainty quantification and stochastic response prediction for excavator systems under extreme operating conditions. Engineering Structures. 308. 117986–117986. 1 indexed citations
5.
Wang, Chun, Luyao Wang, Shenlong Wang, et al.. (2024). Theoretical and Experimental Research on the Short-Range Structure in Gallium Melts Based on the Wulff Cluster Model. Materials. 18(1). 133–133. 1 indexed citations
6.
Sun, Yue, Guo Tian, Tao Yang, et al.. (2024). Crosslinking‐Modulated Hydrogel Piezoionic Sensor for Pattern Security Authentication in Human‐Machine Interfaces. Advanced Functional Materials. 35(19). 10 indexed citations
7.
Wang, Shenlong, Guo Tian, Longchao Huang, et al.. (2024). Body temperature-triggered adhesive ionic conductive hydrogels for bioelectrical signal monitoring. Chemical Engineering Journal. 498. 155195–155195. 34 indexed citations
8.
Wang, Shenlong, et al.. (2023). Tool wear assessment and life prediction model based on image processing and deep learning. The International Journal of Advanced Manufacturing Technology. 126(3-4). 1303–1315. 9 indexed citations
9.
Wu, Chenrui, et al.. (2023). Geometric-aware dense matching network for 6D pose estimation of objects from RGB-D images. Pattern Recognition. 137. 109293–109293. 10 indexed citations
10.
Wang, Shenlong, et al.. (2023). A deep learning method based on prior knowledge with dual training for solving FPK equation. Chinese Physics B. 33(1). 10202–10202. 3 indexed citations
11.
Wang, Shenlong, et al.. (2021). Parameter identification of ship roll motion based on vibration tests and CFD method. Measurement Science and Technology. 32(10). 105014–105014. 3 indexed citations
12.
Chen, Yun, Frieda Rong, Shenlong Wang, et al.. (2021). GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving. 7226–7236. 61 indexed citations
13.
Ma, Wei-Chiu, Shenlong Wang, Rui Hu, Yuwen Xiong, & Raquel Urtasun. (2019). Deep Rigid Instance Scene Flow. 3609–3617. 80 indexed citations
14.
Wong, Kelvin, Shenlong Wang, Mengye Ren, Ming Liang, & Raquel Urtasun. (2019). Identifying Unknown Instances for Autonomous Driving. 384–393. 35 indexed citations
15.
Wang, Shenlong, et al.. (2018). Stochastic response analysis for nonlinear vibration systems with adjustable stiffness property under random excitation. PLoS ONE. 13(8). e0200922–e0200922. 3 indexed citations
16.
Wang, Shenlong, Min Bai, Gellért Máttyus, et al.. (2017). TorontoCity: Seeing the World with a Million Eyes. 3028–3036. 110 indexed citations
17.
Wang, Shenlong, Sanja Fidler, & Raquel Urtasun. (2016). Proximal Deep Structured Models. Neural Information Processing Systems. 29. 865–873. 23 indexed citations
18.
Wang, Shenlong, Sanja Fidler, & Raquel Urtasun. (2015). Lost Shopping! Monocular Localization in Large Indoor Spaces. 2695–2703. 48 indexed citations
19.
Wang, Shenlong, Alex Schwing, & Raquel Urtasun. (2014). Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials. Neural Information Processing Systems. 27. 936–944. 5 indexed citations
20.
Pan, Quan, et al.. (2012). Research on MEMS Gyroscope Signal Denoising Based Compressed Sensing Theory. 33(4). 769–773. 4 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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