Shenlong Wang

2.2k total citations
20 papers, 364 citations indexed

About

Shenlong Wang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Shenlong Wang has authored 20 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Control and Systems Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Shenlong Wang's work include Advanced Vision and Imaging (6 papers), Computer Graphics and Visualization Techniques (4 papers) and Fuel Cells and Related Materials (3 papers). Shenlong Wang is often cited by papers focused on Advanced Vision and Imaging (6 papers), Computer Graphics and Visualization Techniques (4 papers) and Fuel Cells and Related Materials (3 papers). Shenlong Wang collaborates with scholars based in United States, China and Canada. Shenlong Wang's co-authors include Haolin Tang, Mu Pan, Yuan Run-zhang, Raquel Urtasun, Mengye Ren, Namdar Homayounfar, Gellért Máttyus, Shrinidhi Kowshika Lakshmikanth, Min Bai and Sivabalan Manivasagam and has published in prestigious journals such as Journal of Power Sources, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Robotics.

In The Last Decade

Shenlong Wang

16 papers receiving 351 citations

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 United States 8 150 130 127 98 47 20 364
Vedang Chauhan United States 10 220 1.5× 60 0.5× 73 0.6× 102 1.0× 57 1.2× 28 407
Yueqiu Jiang China 9 116 0.8× 70 0.5× 18 0.1× 103 1.1× 16 0.3× 48 397
Atallah Benalia Algeria 11 371 2.5× 30 0.2× 111 0.9× 116 1.2× 47 1.0× 47 549
S. Piva Italy 12 38 0.3× 60 0.5× 83 0.7× 16 0.2× 56 1.2× 45 408
Tom Fletcher United Kingdom 8 327 2.2× 62 0.5× 42 0.3× 334 3.4× 26 0.6× 10 476
Christian Schuss Finland 13 279 1.9× 28 0.2× 191 1.5× 104 1.1× 5 0.1× 37 416
M. Belsam Jeba Ananth India 11 136 0.9× 52 0.4× 14 0.1× 43 0.4× 37 0.8× 27 386
Jiyong Zhang China 8 161 1.1× 45 0.3× 29 0.2× 128 1.3× 21 0.4× 29 306
Yang He China 17 57 0.4× 30 0.2× 60 0.5× 13 0.1× 25 0.5× 36 586
Amir Hossein Karami Iran 9 36 0.2× 94 0.7× 80 0.6× 9 0.1× 11 0.2× 10 309

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.
Jiang, Hanxiao, Shaowei Liu, Saurabh Gupta, et al.. (2025). PhysGen3D: Crafting a Miniature Interactive World from a Single Image. 6178–6189.
4.
Cheng, Sheng, et al.. (2024). DiffTune-MPC: Closed-Loop Learning for Model Predictive Control. IEEE Robotics and Automation Letters. 9(8). 7294–7301. 5 indexed citations
5.
Cheng, Sheng, et al.. (2024). DiffTune: Autotuning Through Autodifferentiation. IEEE Transactions on Robotics. 40. 4085–4101. 8 indexed citations
6.
Huzaifa, Muhammad, et al.. (2024). Towards Energy-Efficiency by Navigating the Trilemma of Energy, Latency, and Accuracy. 913–922. 1 indexed citations
7.
Ummenhofer, Benjamin, Yixing Lao, Kai Zhang, et al.. (2024). Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting. 137–147. 3 indexed citations
8.
Shen, Yüan, et al.. (2023). Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving. IEEE Robotics and Automation Letters. 8(12). 8192–8199. 4 indexed citations
9.
Liu, Shaowei, Saurabh Gupta, & Shenlong Wang. (2023). Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds. 21138–21147. 7 indexed citations
10.
Liu, Shaowei, et al.. (2023). ContactGen: Generative Contact Modeling for Grasp Generation. 20552–20563. 10 indexed citations
11.
Liu, Zhijian, et al.. (2023). MapPrior: Bird’s-Eye View Map Layout Estimation with Generative Models. 8194–8205. 6 indexed citations
12.
Wang, Shenlong, et al.. (2023). PEANUT: Predicting and Navigating to Unseen Targets. 10892–10901. 11 indexed citations
13.
Liu, Weiquan, Yu Zang, Lei Zhao, et al.. (2022). Intracity Temperature Estimation by Physics Informed Neural Network Using Modeled Forcing Meteorology and Multispectral Satellite Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 3 indexed citations
14.
Ma, Wei-Chiu, et al.. (2022). NeurMiPs: Neural Mixture of Planar Experts for View Synthesis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 15681–15691. 17 indexed citations
15.
Ma, Wei-Chiu, Anqi Yang, Shenlong Wang, Raquel Urtasun, & Antonio Torralba. (2022). Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 15903–15913. 12 indexed citations
16.
Wong, Kelvin, et al.. (2021). SceneGen: Learning to Generate Realistic Traffic Scenes. 892–901. 59 indexed citations
17.
Lu, Guo, Ren Yang, Shenlong Wang, Shan Liu, & Radu Timofte. (2021). Deep Learning for Visual Data Compression. 5683–5685. 5 indexed citations
18.
Bai, Min, Gellért Máttyus, Namdar Homayounfar, et al.. (2018). Deep Multi-Sensor Lane Detection. 3102–3109. 59 indexed citations
19.
Tang, Haolin, et al.. (2007). Performance of DMFCs prepared by hot-pressed MEA and catalyst-coated membrane. Fuel Cells Bulletin. 2007(5). 12–16. 6 indexed citations
20.
Tang, Haolin, Shenlong Wang, Mu Pan, & Yuan Run-zhang. (2007). Porosity-graded micro-porous layers for polymer electrolyte membrane fuel cells. Journal of Power Sources. 166(1). 41–46. 148 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026