Hanyun Wang

3.7k citations
68 papers · 2.5k indexed · 2 hit papers · h-index 20
Topics
Remote Sensing and LiDAR Applications (26 papers)3D Surveying and Cultural Heritage (25 papers)3D Shape Modeling and Analysis (19 papers)
Partner nations
ChinaCanadaAustralia

In The Last Decade

Hanyun Wang

60 papers receiving 2.4k citations

Hit Papers

Deep Learning for 3D Point Clouds: A Survey2020202620222024202020234008001.2k

Peers

Hanyun Wang
Comparison fields: 5 of 115
  • Environmental Engineering 1.1k
  • Geology 1.0k
  • Computer Vision and Pattern Recognition 930
  • Computational Mechanics 861
  • Aerospace Engineering 408
Replace Bruno Vallet with:
Bruno Vallet France
Daniel Maturana United States
Qingyong Hu China
Suya You United States
Alexandre Boulch France
Lingfei Ma China
Florent Lafarge France
Daniel G. Aliaga United States
Yusheng Xu China
Yongbin Sun China
Hanyun Wang relative to Bruno Vallet France Bruno Vallet's profile →
Citations per field
00.5×
Bruno Vallet · 1×
Citations per year

Countries citing papers authored by Hanyun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hanyun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanyun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hanyun Wang. A scholar is included among the top collaborators of Hanyun 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 Hanyun Wang. Hanyun Wang 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
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 1
6 2
7 3
8 13
9 9
10 0
11 0
12 8
13 1
14 21
15 14
16
Deep Learning for 3D Point Clouds: A Surveybreakdown →
1394
17 12
18 39
19 22
20 6

About Hanyun Wang

Hanyun Wang is a scholar working on Geology, Environmental Engineering and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (26 papers), 3D Surveying and Cultural Heritage (25 papers) and 3D Shape Modeling and Analysis (19 papers). The work is most often cited by research in Geology (1.0k citations), Environmental Engineering (1.1k citations) and Computer Graphics and Computer-Aided Design (221 citations). Hanyun Wang has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Yulan Guo, Qingyong Hu, Hao Liu, Mohammed Bennamoun, Li Liu, Jonathan Li, Cheng Wang, Yongtao Yu, Huan Luo and Chenglu Wen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

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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