Yaolin Hou

936 citations
11 papers · 655 · 1 hit paper · h-index 6

Impact in

Papers in

Yaolin Hou

11 papers receiving 641 citations

Yaolin Hou's Hit Papers

Graph Attention Convolution for Point Cloud Semantic Segmentation 2019 · 519 citations
5190+2+4Years since publication100200300400500

Peers

Yaolin Hou
Comparison fields: 5 of 75
  • Geology 333
  • Computer Graphics and Computer-Aided Design 92
  • Environmental Engineering 313
  • Computational Mechanics 345
  • Computer Vision and Pattern Recognition 208
Replace Tian Fang with:
Tian Fang Hong Kong
Jiju Peethambaran Canada
Saifullahi Aminu Bello China
Anh-Vu Vo Ireland
Michal Jančošek Czechia
Julie Digne France
Mathieu Brédif France
Andrés Serna France
Rico Richter Germany
Florent Poux Belgium
Yaolin Hou relative to Tian Fang Hong Kong Tian Fang's profile →
Citations per field
00.5×4.7×
Tian Fang · 1×
Citations per year

Countries citing papers authored by Yaolin Hou

Since Specialization
Citations

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

Fields of papers citing papers by Yaolin Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Yaolin Hou, 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 Yaolin Hou Line = papers co-authored together Yaolin Hou links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Graph Attention Convolution for Point Cloud Semantic Segmentation
Hit paper breakdown →
2019519
2 201778
3 201819
4 202114
5 20146
6 20225
7 20165
8 20194
9 20163
10 20201
11 20131

About Yaolin Hou

Yaolin Hou is a scholar working on Geology, Computer Vision and Pattern Recognition, Environmental Engineering, Aerospace Engineering and Surgery, having authored 11 papers that have together received 655 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (6 papers), Remote Sensing and LiDAR Applications (5 papers), Advanced Vision and Imaging (4 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Hydrology and Watershed Management Studies (1 paper), 3D Shape Modeling and Analysis (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Geology (333 citations), Computer Graphics and Computer-Aided Design (92 citations), Environmental Engineering (313 citations), Computational Mechanics (345 citations) and Computer Vision and Pattern Recognition (208 citations). Yaolin Hou has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Jie Shan, Shenman Zhang, Lei Wang, Yuchun Huang, Zhi‐Hua Hu, Pengjie Tao, Zhichao Zhang, Jian Yao, Kao Zhang and Tong He. Their work appears in journals such as Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, Biochemical Pharmacology, SHILAP Revista de lepidopterología and ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences.

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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