Kaiwen Guo

2.2k total citations · 1 hit paper
24 papers, 898 citations indexed

About

Kaiwen Guo is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Kaiwen Guo has authored 24 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 6 papers in Aerospace Engineering. Recurrent topics in Kaiwen Guo's work include Advanced Vision and Imaging (17 papers), 3D Shape Modeling and Analysis (9 papers) and Computer Graphics and Visualization Techniques (6 papers). Kaiwen Guo is often cited by papers focused on Advanced Vision and Imaging (17 papers), 3D Shape Modeling and Analysis (9 papers) and Computer Graphics and Visualization Techniques (6 papers). Kaiwen Guo collaborates with scholars based in China, United States and United Kingdom. Kaiwen Guo's co-authors include Yebin Liu, Qionghai Dai, Tao Yu, Feng Xu, Zerong Zheng, Pengpeng Liu, Lan Xu, Jianhui Zhao, Yangang Wang and Xiaoyang Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and AIAA Journal.

In The Last Decade

Kaiwen Guo

24 papers receiving 873 citations

Hit Papers

Function4D: Real-time Human Volumetric Capture from Very ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaiwen Guo China 15 747 469 280 156 104 24 898
Loïc Barthe France 14 283 0.4× 407 0.9× 334 1.2× 27 0.2× 132 1.3× 31 681
Afzal Godil United States 18 825 1.1× 632 1.3× 171 0.6× 181 1.2× 30 0.3× 56 988
Henning Biermann United States 11 615 0.8× 635 1.4× 499 1.8× 192 1.2× 55 0.5× 17 1.1k
Stefanie Wuhrer Canada 15 466 0.6× 473 1.0× 150 0.5× 39 0.3× 84 0.8× 70 767
Enric Corona Spain 8 893 1.2× 486 1.0× 434 1.6× 82 0.5× 245 2.4× 11 1.1k
Yueshan Xiong China 14 496 0.7× 451 1.0× 273 1.0× 66 0.4× 43 0.4× 41 747
Steve Sullivan United States 7 618 0.8× 295 0.6× 240 0.9× 120 0.8× 312 3.0× 18 956
Tanner Schmidt United States 9 382 0.5× 108 0.2× 124 0.4× 142 0.9× 126 1.2× 11 496
Songyou Peng Switzerland 8 628 0.8× 260 0.6× 201 0.7× 397 2.5× 70 0.7× 20 907
Thiemo Alldieck United States 8 631 0.8× 520 1.1× 220 0.8× 27 0.2× 109 1.0× 13 775

Countries citing papers authored by Kaiwen Guo

Since Specialization
Citations

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

Fields of papers citing papers by Kaiwen Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiwen Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiwen Guo. A scholar is included among the top collaborators of Kaiwen Guo 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 Kaiwen Guo. Kaiwen Guo 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.
Guo, Kaiwen & Huang Yuan. (2024). Nonlocal fretting fatigue assessment for dovetail joints. International Journal of Fatigue. 185. 108337–108337. 5 indexed citations
2.
Guo, Kaiwen, Jia Li, Hang Cao, & Huang Yuan. (2022). Experimental and computational investigation of fretting fatigue characterized by nominal contact pressure in dovetail structures. Fatigue & Fracture of Engineering Materials & Structures. 45(10). 3102–3117. 7 indexed citations
3.
Zhang, Lan, et al.. (2022). HideSeeker. 682–695. 1 indexed citations
4.
Guo, Kaiwen, et al.. (2022). Mudra: A Multi-Modal Smartwatch Interactive System with Hand Gesture Recognition and User Identification. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. 100–109. 11 indexed citations
5.
Jiang, Yuheng, et al.. (2022). NeuralHOFusion: Neural Volumetric Rendering under Human-object Interactions. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 6145–6155. 26 indexed citations
6.
Guo, Kaiwen, et al.. (2022). Experimental and Computational Investigations on Fretting Fatigue Crack Growth in Dovetail Joints. AIAA Journal. 60(8). 4893–4905. 6 indexed citations
7.
Jiang, Yuheng, Pei Lin, Yingliang Zhang, et al.. (2021). NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Cameras. 6222–6233. 34 indexed citations
8.
Tan, Feitong, Danhang Tang, Mingsong Dou, et al.. (2021). HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1820–1830. 9 indexed citations
9.
Li, Zhe, Tao Yu, Zerong Zheng, Kaiwen Guo, & Yebin Liu. (2021). POSEFusion: Pose-guided Selective Fusion for Single-view Human Volumetric Capture. 14157–14167. 21 indexed citations
10.
Guo, Kaiwen, et al.. (2020). Experimental and computational investigations of nonlinear frictional behavior in threaded fasteners. Tribology International. 154. 106737–106737. 9 indexed citations
11.
Xie, Jing, et al.. (2020). ART: Adaptive and Real-time Fall Detection Using COTS Smart Watch. 33–40. 10 indexed citations
12.
Xu, Lan, Wei Cheng, Kaiwen Guo, et al.. (2019). FlyFusion: Realtime Dynamic Scene Reconstruction Using a Flying Depth Camera. IEEE Transactions on Visualization and Computer Graphics. 27(1). 68–82. 36 indexed citations
13.
Yu, Tao, Jianhui Zhao, Zerong Zheng, et al.. (2019). DoubleFusion: Real-Time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(10). 2523–2539. 41 indexed citations
14.
Tang, Danhang, Mingsong Dou, Peter Lincoln, et al.. (2018). Real-time compression and streaming of 4D performances. ACM Transactions on Graphics. 37(6). 1–11. 17 indexed citations
15.
Kowdle, Adarsh, Christoph Rhemann, Sean Fanello, et al.. (2018). The need 4 speed in real-time dense visual tracking. ACM Transactions on Graphics. 37(6). 1–14. 23 indexed citations
16.
Xu, Lan, Yebin Liu, Wei Cheng, et al.. (2017). FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Cameras. IEEE Transactions on Visualization and Computer Graphics. 24(8). 2284–2297. 48 indexed citations
17.
Yu, Tao, Kaiwen Guo, Feng Xu, et al.. (2017). BodyFusion: Real-Time Capture of Human Motion and Surface Geometry Using a Single Depth Camera. 910–919. 116 indexed citations
18.
Guo, Kaiwen, Feng Xu, Tao Yu, et al.. (2017). Real-Time Geometry, Albedo, and Motion Reconstruction Using a Single RGB-D Camera. ACM Transactions on Graphics. 36(3). 1–13. 51 indexed citations
19.
Guo, Kaiwen, Feng Xu, Tao Yu, et al.. (2017). Real-Time Geometry, Albedo, and Motion Reconstruction Using a Single RGB-D Camera. ACM Transactions on Graphics. 36(4). 1–1. 102 indexed citations
20.
Guo, Kaiwen, Feng Xu, Yangang Wang, Yebin Liu, & Qionghai Dai. (2017). Robust Non-Rigid Motion Tracking and Surface Reconstruction Using $L_0$ Regularization. IEEE Transactions on Visualization and Computer Graphics. 24(5). 1770–1783. 15 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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