Guofeng Mei

1.1k total citations · 1 hit paper
23 papers, 619 citations indexed

About

Guofeng Mei is a scholar working on Computational Mechanics, Geology and Aerospace Engineering. According to data from OpenAlex, Guofeng Mei has authored 23 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 13 papers in Geology and 8 papers in Aerospace Engineering. Recurrent topics in Guofeng Mei's work include 3D Surveying and Cultural Heritage (13 papers), 3D Shape Modeling and Analysis (12 papers) and Robotics and Sensor-Based Localization (8 papers). Guofeng Mei is often cited by papers focused on 3D Surveying and Cultural Heritage (13 papers), 3D Shape Modeling and Analysis (12 papers) and Robotics and Sensor-Based Localization (8 papers). Guofeng Mei collaborates with scholars based in Australia, China and Italy. Guofeng Mei's co-authors include Jian Zhang, Xiaoshui Huang, Xiaoqun Wu, Jun-an Lu, Guanrong Chen, Yingfei Wang, Mi Hu, Juan Liu, Qiang Wu and Jinhu Lü and has published in prestigious journals such as Scientific Reports, International Journal of Computer Vision and IEEE Transactions on Cybernetics.

In The Last Decade

Guofeng Mei

22 papers receiving 594 citations

Hit Papers

Feature-Metric Registration: A Fast Semi-Supervised Appro... 2020 2026 2022 2024 2020 50 100 150
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.

  1. Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences
    2020 197 citations Xiaoshui Huang, Guofeng Mei et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guofeng Mei Australia 10 246 235 181 159 145 23 619
Xiang Ying China 12 228 0.9× 22 0.1× 35 0.2× 26 0.2× 39 0.3× 50 531
Jan Eric Lenssen Germany 9 119 0.5× 34 0.1× 24 0.1× 14 0.1× 32 0.2× 23 403
Xiaoshuai Zhang China 11 226 0.9× 64 0.3× 76 0.4× 5 0.0× 5 0.0× 20 777
Wenju Wang China 9 30 0.1× 15 0.1× 26 0.1× 206 1.3× 22 0.2× 24 645
Lars Nyland United States 12 47 0.2× 26 0.1× 35 0.2× 67 0.4× 9 0.1× 26 332
Diego Nehab United States 19 381 1.5× 207 0.9× 76 0.4× 30 0.2× 2 0.0× 53 1.3k
Greg Coombe United States 8 128 0.5× 16 0.1× 18 0.1× 40 0.3× 9 0.1× 13 476
Kei Iwasaki Japan 15 219 0.9× 25 0.1× 17 0.1× 64 0.4× 3 0.0× 89 646
Gaihua Wang China 12 39 0.2× 28 0.1× 22 0.1× 8 0.1× 87 0.6× 42 400
Alexander Keller Germany 15 322 1.3× 20 0.1× 12 0.1× 47 0.3× 6 0.0× 46 840

Countries citing papers authored by Guofeng Mei

Since Specialization
Citations

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

Fields of papers citing papers by Guofeng Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guofeng Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Guofeng Mei. A scholar is included among the top collaborators of Guofeng Mei 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 Guofeng Mei. Guofeng Mei 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.
Mei, Guofeng, et al.. (2025). Free-form language-based robotic reasoning and grasping. 17672–17679.
2.
Mei, Guofeng, et al.. (2025). Vocabulary-Free 3D Instance Segmentation with Vision-Language Assistant. 1197–1210. 1 indexed citations
3.
Mei, Guofeng, et al.. (2024). Geometrically-Driven Aggregation for Zero-Shot 3D Point Cloud Understanding. 27896–27905. 3 indexed citations
4.
Zhou, Youjie, et al.. (2024). Multimodal Fusion SLAM With Fourier Attention. IEEE Robotics and Automation Letters. 10(2). 1050–1057. 1 indexed citations
5.
Mei, Guofeng, Cristiano Saltori, Elisa Ricci, et al.. (2024). Unsupervised Point Cloud Representation Learning by Clustering and Neural Rendering. International Journal of Computer Vision. 132(8). 3251–3269. 2 indexed citations
6.
Xiao, Zheng, Xiaoshui Huang, Guofeng Mei, et al.. (2024). Point Cloud Pre-Training with Diffusion Models. 22935–22945. 10 indexed citations
7.
Shen, Yaqi, et al.. (2023). Graph Matching Optimization Network for Point Cloud Registration. 5320–5325. 1 indexed citations
8.
Huang, Xiaoshui, Guofeng Mei, & Jian Zhang. (2023). Cross-source point cloud registration: Challenges, progress and prospects. Neurocomputing. 548. 126383–126383. 28 indexed citations
9.
Zhou, Youjie, Guofeng Mei, Yiming Wang, Fabio Poiesi, & Yi Wan. (2023). Attentive Multimodal Fusion for Optical and Scene Flow. IEEE Robotics and Automation Letters. 8(10). 6091–6098. 2 indexed citations
10.
Mei, Guofeng, Hao Tang, Xiaoshui Huang, et al.. (2023). Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration. 13611–13620. 41 indexed citations
11.
Liu, Juan, Guofeng Mei, Xiaoqun Wu, & Yuanqing Xia. (2023). A unified inferring framework of multiplex epidemic networks under multiple interlayer interaction modes. IEEE Transactions on Network Science and Engineering. 1–11. 3 indexed citations
12.
Mei, Guofeng, Fabio Poiesi, Cristiano Saltori, et al.. (2023). Overlap-guided Gaussian Mixture Models for Point Cloud Registration. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 4500–4509. 23 indexed citations
13.
Huang, Xiaoshui, et al.. (2022). Robust real-world point cloud registration by inlier detection. Computer Vision and Image Understanding. 224. 103556–103556. 14 indexed citations
14.
Mei, Guofeng, Xiaoshui Huang, Jian Zhang, & Qiang Wu. (2022). Partial Point Cloud Registration Via Soft Segmentation. 2022 IEEE International Conference on Image Processing (ICIP). 681–685. 2 indexed citations
15.
Mei, Guofeng, Xiaoshui Huang, Juan Liu, Jian Zhang, & Qiang Wu. (2022). Unsupervised Point Cloud Pre-Training Via Contrasting and Clustering. 2022 IEEE International Conference on Image Processing (ICIP). 66–70. 8 indexed citations
16.
17.
Huang, Xiaoshui, Guofeng Mei, & Jian Zhang. (2020). Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences. 11363–11371. 197 indexed citations breakdown →
18.
Liu, Juan, Guofeng Mei, Xiaoqun Wu, & Jinhu Lü. (2018). Robust Reconstruction of Continuously Time-Varying Topologies of Weighted Networks. IEEE Transactions on Circuits and Systems I Regular Papers. 65(9). 2970–2982. 33 indexed citations
19.
Mei, Guofeng, Xiaoqun Wu, Yingfei Wang, et al.. (2017). Compressive-Sensing-Based Structure Identification for Multilayer Networks. IEEE Transactions on Cybernetics. 48(2). 754–764. 135 indexed citations
20.
Mei, Guofeng, Xiaoqun Wu, Guanrong Chen, & Jun-an Lu. (2016). Identifying structures of continuously-varying weighted networks. Scientific Reports. 6(1). 26649–26649. 21 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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