Hao Song

36 papers and 474 indexed citations i.

About

Hao Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Hao Song has authored 36 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Computational Mechanics. Recurrent topics in Hao Song’s work include 3D Shape Modeling and Analysis (5 papers), Measurement Invariance in Structural Equation Modeling (3 papers) and Image Processing and 3D Reconstruction (3 papers). Hao Song is often cited by papers focused on 3D Shape Modeling and Analysis (5 papers), Measurement Invariance in Structural Equation Modeling (3 papers) and Image Processing and 3D Reconstruction (3 papers). Hao Song collaborates with scholars based in China, United States and Canada. Hao Song's co-authors include Hsi-Yung Feng, Jimmy de la Torre, Peter Flach, Meelis Kull, Wei Chen, Yifan Zhang, Raúl Santos‐Rodríguez, Chu Zhang, Tianying Yan and Yuan Hong and has published in prestigious journals such as The Astrophysical Journal, PLoS ONE and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Co-authorship network of co-authors of Hao Song i

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.

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).

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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2025