Gu Wang

2.3k total citations · 2 hit papers
18 papers, 853 citations indexed

About

Gu Wang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Gu Wang has authored 18 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Control and Systems Engineering and 6 papers in Aerospace Engineering. Recurrent topics in Gu Wang's work include Robot Manipulation and Learning (7 papers), Human Pose and Action Recognition (6 papers) and Robotics and Sensor-Based Localization (6 papers). Gu Wang is often cited by papers focused on Robot Manipulation and Learning (7 papers), Human Pose and Action Recognition (6 papers) and Robotics and Sensor-Based Localization (6 papers). Gu Wang collaborates with scholars based in China, United States and Germany. Gu Wang's co-authors include Xiangyang Ji, Zhigang Li, Federico Tombari, Fabian Manhardt, Dieter Fox, Yi Li, Xiang Yu, Yan Di, Nassir Navab and Eric Brachmann and has published in prestigious journals such as Environmental Science & Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Gu Wang

15 papers receiving 829 citations

Hit Papers

align trajectories

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.

CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation

2019 283 citations Zhigang Li, Gu Wang et al. profile →
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation

2021 245 citations Gu Wang, Fabian Manhardt et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gu Wang China	9	598	560	465	131	99	18	853
Yunwang Li China	11	123 0.2×	204 0.4×	108 0.2×	92 0.7×	22 0.2×	27	374
Christian Rink Germany	6	113 0.2×	186 0.3×	176 0.4×	106 0.8×	6 0.1×	13	366
Iker Aguinaga Spain	10	63 0.1×	163 0.3×	54 0.1×	57 0.4×	58 0.6×	19	335
Liquan Jiang China	13	275 0.5×	236 0.4×	151 0.3×	43 0.3×	4 0.0×	50	535
Xiaoxiao Zhu China	9	138 0.2×	67 0.1×	39 0.1×	125 1.0×	35 0.4×	49	340
Hamid Taheri Iran	7	149 0.2×	155 0.3×	112 0.2×	83 0.6×	7 0.1×	9	378
Adrian Boeing Australia	8	112 0.2×	110 0.2×	62 0.1×	53 0.4×	16 0.2×	18	313
Carlos J. Pérez-del-Pulgar Spain	9	134 0.2×	283 0.5×	148 0.3×	109 0.8×	17 0.2×	34	455
Adrián Peidró Spain	9	153 0.3×	106 0.2×	74 0.2×	99 0.8×	7 0.1×	34	321

Countries citing papers authored by Gu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Gu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Gu Wang. A scholar is included among the top collaborators of Gu 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 Gu Wang. Gu Wang 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:

18 of 18 papers shown

Wang, Gu, et al.. (2025). GDRNPP: A Geometry-Guided and Fully Learning-Based Object Pose Estimator. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5742–5759. 1 indexed citations

Yang, Ye, et al.. (2025). Unlocking the Circular Economy Potential in China’s Hydrogen Industry: A Dynamic Stock Model Analysis. Environmental Science & Technology. 59(35). 19012–19025.

Di, Yan, Gu Wang, Fabian Manhardt, et al.. (2024). MOHO: Learning Single-View Hand-Held Object Reconstruction with Multi-View Occlusion-Aware Supervision. 9992–10002. 4 indexed citations

Geng, Yong, et al.. (2024). Uncovering the key features of iron metabolism in Pakistan from 2005 to 2020: A dynamic material flow analysis. Structural Change and Economic Dynamics. 71. 261–269.

Chen, Zeyu, et al.. (2024). UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images. 14248–14255.

Hodaň, Tomáš, Martin Sundermeyer, Yann Labbé, et al.. (2024). BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects. 5610–5619. 14 indexed citations

Wang, Gu, Yong Geng, Shijiang Xiao, Ziyan Gao, & Wendong Wei. (2023). The anthropogenic cycles of palladium in China during 2001–2020. The Science of The Total Environment. 904. 167248–167248. 8 indexed citations

Zhang, Zongwei, Gu Wang, Wenjun Liao, et al.. (2023). Targeted co-delivery of curcumin and erlotinib by MoS2 nanosheets for the combination of synergetic chemotherapy and photothermal therapy of lung cancer. Journal of Nanobiotechnology. 21(1). 333–333. 23 indexed citations

Sundermeyer, Martin, Tomáš Hodaň, Yann Labbé, et al.. (2023). BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. 2785–2794. 31 indexed citations

10.

Wang, Gu & Bin Zou. (2021). Optimal Fee Structure of Variable Annuities. SSRN Electronic Journal. 2 indexed citations

11.

Wang, Gu, et al.. (2021). A Survey upon College Students’ Consumption Behavior on Short Video Platforms. 5. 611–616. 1 indexed citations

12.

Di, Yan, Fabian Manhardt, Gu Wang, et al.. (2021). SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12376–12385. 97 indexed citations

13.

Wang, Gu, Fabian Manhardt, Federico Tombari, & Xiangyang Ji. (2021). GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. 16606–16616. 245 indexed citations breakdown →

14.

Jiang, Yuhang, et al.. (2020). PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation. 11451–11460. 22 indexed citations

15.

Li, Zhigang, Gu Wang, & Xiangyang Ji. (2019). CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation. 7677–7686. 283 indexed citations breakdown →

16.

Li, Yi, Gu Wang, Xiangyang Ji, Xiang Yu, & Dieter Fox. (2019). DeepIM: Deep Iterative Matching for 6D Pose Estimation. International Journal of Computer Vision. 128(3). 657–678. 120 indexed citations

17.

Wang, Gu, et al.. (2014). Method of Highway Facility Allocation Decisions in Comprehensive Transportation Corridors. 27. 272–279. 1 indexed citations

18.

Huang, Yan & Gu Wang. (1999). Reconstruction of Yuan Ming Yuan on Computer. Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia. 425–428. 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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