Hao Song

48 papers receiving 604 citations

Peers

Hao Song
Comparison fields: 5 of 133
  • Geology 80
  • Computer Graphics and Computer-Aided Design 49
  • Computational Mathematics 6
  • Computer Vision and Pattern Recognition 140
  • Analytical Chemistry 55
Replace Kris De Brabanter with:
Kris De Brabanter United States
Zhen Liu China
Bo Mao China
Shuang Song United States
Xin Zheng China
Xu Zhong China
Prudhvi Gurram United States
Shu Zhang China
Jiawei Yang China
Hao Song relative to Kris De Brabanter United States Kris De Brabanter's profile →
Citations per field
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Kris De Brabanter · 1×
Citations per year

Countries citing papers authored by Hao Song

Since Specialization
Citations

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

Fields of papers citing papers by Hao Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hao Song, 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 Hao Song Line = papers co-authored together Hao Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202274
2 200766
3 200961
4 202358
5 200947
6 202428
7
OPTICAL OBSERVATIONS OF THE TYPE IA SUPERNOVA SN 2011fe IN M101 FOR NEARLY 500 DAYS
201928
8 201723
9 202122
10 200720
11 201820
12 201119
13 201217
14 201516
15 201511
16 201811
17 201210
18 200610
19 20209
20 20198

About Hao Song

Hao Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Electrical and Electronic Engineering and Management Science and Operations Research, having authored 52 papers that have together received 645 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (5 papers), Gamma-ray bursts and supernovae (4 papers), Context-Aware Activity Recognition Systems (4 papers), Medical Image Segmentation Techniques (4 papers), Image Processing and 3D Reconstruction (3 papers), Psychometric Methodologies and Testing (3 papers), Anomaly Detection Techniques and Applications (3 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Geology (80 citations), Computer Graphics and Computer-Aided Design (49 citations), Computational Mathematics (6 citations), Computer Vision and Pattern Recognition (140 citations) and Analytical Chemistry (55 citations). Hao Song has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hsi-Yung Feng, Jimmy de la Torre, Weixing Wang, Peter Flach, Miquel Perelló-Nieto, Meelis Kull, Telmo M. Silva Filho, Raúl Santos‐Rodríguez, Wei Chen and Wei Xu. Their work appears in journals such as International Journal of Hydrogen Energy, Applied Psychological Measurement, Computer-Aided Design, Asia-Pacific Journal of Ophthalmology and The International Journal of Advanced Manufacturing Technology.

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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