Gu Wang

2.4k citations
26 papers · 1.7k · 3 hit papers · h-index 11

Impact in

Papers in

Gu Wang

22 papers receiving 1.7k citations

Gu Wang's Hit Papers

GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation 2021 · 328 citations
3280+2+5Years since publication100200300400

Peers

Gu Wang
Comparison fields: 5 of 42
  • Computer Vision and Pattern Recognition 1.2k
  • Control and Systems Engineering 1.2k
  • Computational Mechanics 669
  • Aerospace Engineering 132
  • Industrial and Manufacturing Engineering 26
Replace Bertram Drost with:
Bertram Drost Germany
Tomáš Hodaň Czechia
Maximilian Durner Germany
Wadim Kehl Germany
Anders Glent Buch Denmark
Frank Michel Germany
Mahdi Rad Austria
Yuichi Taguchi United States
Kuan Fang United States
Gu Wang relative to Bertram Drost Germany Bertram Drost's profile →
Citations per field
00.5×1.5×1.9×
Bertram Drost · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Gu Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gu Wang Line = papers co-authored together Gu Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DeepIM: Deep Iterative Matching for 6D Pose Estimation
Hit paper breakdown →
2018427
2
CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation
Hit paper breakdown →
2019371
3
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation
Hit paper breakdown →
2021328
4 2019150
5 2021122
6 2020118
7 202353
8 202030
9 202430
10 202226
11 202311
12 20247
13 20257
14 20245
15 20172
16 20242
17 20252
18 19991
19 20141
20 20211

About Gu Wang

Gu Wang is a scholar working on Computational Mechanics, Control and Systems Engineering, Computer Vision and Pattern Recognition, Environmental Engineering and Computer Graphics and Computer-Aided Design, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (16 papers), Robot Manipulation and Learning (16 papers), Advanced Neural Network Applications (13 papers), Advanced Image and Video Retrieval Techniques (2 papers), Sustainability and Ecological Systems Analysis (2 papers), Extraction and Separation Processes (2 papers), Digital Marketing and Social Media (1 paper) and Transportation Planning and Optimization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Control and Systems Engineering (1.2k citations), Computational Mechanics (669 citations), Aerospace Engineering (132 citations) and Industrial and Manufacturing Engineering (26 citations). Gu Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiangyang Ji, Zhigang Li, Federico Tombari, Fabian Manhardt, Dieter Fox, Xiang Yu, Nassir Navab, Yi Li, Yan Di and Tomáš Hodaň. Their work appears in journals such as International Journal of Computer Vision, Environmental Science & Technology, The Science of The Total Environment, IEEE Transactions on Pattern Analysis and Machine Intelligence and Mathematical Methods of Operations Research.

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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