Songyou Peng

2.7k total citations · 3 hit papers
20 papers, 907 citations indexed

About

Songyou Peng is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Songyou Peng has authored 20 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 8 papers in Aerospace Engineering and 4 papers in Computational Mechanics. Recurrent topics in Songyou Peng's work include Advanced Vision and Imaging (9 papers), Robotics and Sensor-Based Localization (8 papers) and Computer Graphics and Visualization Techniques (4 papers). Songyou Peng is often cited by papers focused on Advanced Vision and Imaging (9 papers), Robotics and Sensor-Based Localization (8 papers) and Computer Graphics and Visualization Techniques (4 papers). Songyou Peng collaborates with scholars based in Switzerland, United States and China. Songyou Peng's co-authors include Marc Pollefeys, Zhaopeng Cui, Zihan Zhu, Martin R. Oswald, Viktor Larsson, Weiwei Xu, Hujun Bao, Shaohui Liu, Yinda Zhang and Boxin Shi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The International Journal of Robotics Research and IEEE Transactions on Affective Computing.

In The Last Decade

Songyou Peng

18 papers receiving 881 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

2022 431 citations Zihan Zhu, Songyou Peng et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
OpenScene: 3D Scene Understanding with Open Vocabularies

2023 145 citations Songyou Peng, Kyle Genova et al. profile →
NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM

2024 70 citations Zihan Zhu, Songyou Peng et al. Lund University Publications (Lund University) profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Songyou Peng	628	397	260	201	166	20	907
Thorsten Thormählen	1.1k 1.7×	191 0.5×	467 1.8×	302 1.5×	153 0.9×	44	1.3k
Katrin Lasinger	891 1.4×	229 0.6×	106 0.4×	145 0.7×	152 0.9×	8	1.1k
Johan W. H. Tangelder	884 1.4×	202 0.5×	678 2.6×	211 1.0×	165 1.0×	18	1.1k
Avishek Chatterjee	517 0.8×	186 0.5×	148 0.6×	116 0.6×	86 0.5×	18	641
Tianjia Shao	847 1.3×	148 0.4×	435 1.7×	244 1.2×	150 0.9×	53	1.1k
Kejie Li	737 1.2×	415 1.0×	83 0.3×	58 0.3×	85 0.5×	80	992
Fangzhou Hong	581 0.9×	183 0.5×	333 1.3×	111 0.6×	155 0.9×	20	874
Mathias Eitz	1.4k 2.2×	246 0.6×	370 1.4×	215 1.1×	115 0.7×	13	1.5k
Steven Lovegrove	1.5k 2.4×	1.3k 3.4×	140 0.5×	160 0.8×	457 2.8×	10	1.8k
Forrester Cole	1.2k 2.0×	113 0.3×	712 2.7×	707 3.5×	141 0.8×	39	1.7k

Countries citing papers authored by Songyou Peng

Since Specialization

Citations

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

Fields of papers citing papers by Songyou Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songyou Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Songyou Peng. A scholar is included among the top collaborators of Songyou Peng 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 Songyou Peng. Songyou Peng 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

Lin, Haotong, Sida Peng, Jingxiao Chen, et al.. (2025). Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation. 17070–17080. 1 indexed citations

Xu, Haofei, Songyou Peng, Fangjinhua Wang, et al.. (2025). DepthSplat: Connecting Gaussian Splatting and Depth. 16453–16463. 2 indexed citations

Yu, Zehao, et al.. (2025). Free360: Layered Gaussian Splatting for Unbounded 360-Degree View Synthesis from Extremely Sparse and Unposed Views. 16377–16387. 1 indexed citations

Zhu, Zihan, et al.. (2025). WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments. 11461–11471. 2 indexed citations

Wang, Guangming, Songyou Peng, Shaohui Liu, et al.. (2025). NeRFs in robotics: A survey. The International Journal of Robotics Research.

Peng, Songyou, et al.. (2024). Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM. 7929–7936. 1 indexed citations

Zhu, Zihan, et al.. (2024). NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild. 8931–8940. 7 indexed citations

Li, Lei, Songyou Peng, Zehao Yu, et al.. (2024). 3D Neural Edge Reconstruction. 21219–21229. 2 indexed citations

Lin, Lixiang, et al.. (2024). FastHuman: Reconstructing High-Quality Clothed Human in Minutes. 280–290. 3 indexed citations

10.

Zhu, Zihan, Songyou Peng, Viktor Larsson, et al.. (2024). NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM. Lund University Publications (Lund University). 42–52. 70 indexed citations breakdown →

11.

Kúkelová, Zuzana, et al.. (2024). WildGaussians: 3D Gaussian Splatting In the Wild. 21271–21288. 2 indexed citations

12.

Peng, Songyou, et al.. (2023). DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models. 2139–2150. 10 indexed citations

13.

Peng, Songyou, Kyle Genova, Chiyu Jiang, et al.. (2023). OpenScene: 3D Scene Understanding with Open Vocabularies. 815–824. 145 indexed citations breakdown →

14.

Zhu, Zihan, Songyou Peng, Viktor Larsson, et al.. (2022). NICE-SLAM: Neural Implicit Scalable Encoding for SLAM. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12776–12786. 431 indexed citations breakdown →

15.

Peng, Songyou, et al.. (2021). Dynamic Plane Convolutional Occupancy Networks. 1828–1837. 23 indexed citations

16.

Liu, Shaohui, Yinda Zhang, Songyou Peng, et al.. (2020). DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing. 2016–2025. 152 indexed citations

17.

Peng, Songyou & Peter Sturm. (2019). Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty. HAL (Le Centre pour la Communication Scientifique Directe). 1497–1505. 21 indexed citations

18.

Peng, Songyou, et al.. (2019). Photometric Depth Super-Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(10). 2453–2464.

19.

Zhang, Le, Songyou Peng, & Stefan Winkler. (2019). PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship. IEEE Transactions on Affective Computing. 13(1). 298–305. 31 indexed citations

20.

Peng, Songyou, Le Zhang, Stefan Winkler, & Marianne Winslett. (2018). Give Me One Portrait Image, I Will Tell You Your Emotion and Personality. 1226–1227. 3 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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