Hao Yin

906 total citations · 1 hit paper
12 papers, 516 citations indexed

About

Hao Yin is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Hao Yin has authored 12 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistical and Nonlinear Physics, 3 papers in Computational Mechanics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Hao Yin's work include Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (2 papers) and Bioinformatics and Genomic Networks (2 papers). Hao Yin is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (2 papers) and Bioinformatics and Genomic Networks (2 papers). Hao Yin collaborates with scholars based in United States, China and United Kingdom. Hao Yin's co-authors include Jure Leskovec, Austin R. Benson, David F. Gleich, Tao Huang, Hao Zhang, Sannyuya Liu, Johan Ugander, Xuanyue Mao, Mengdi Wang and Dongdong Ge and has published in prestigious journals such as SHILAP Revista de lepidopterología, Electronics and Physical review. E.

In The Last Decade

Hao Yin

12 papers receiving 503 citations

Hit Papers

Local Higher-Order Graph Clustering 2017 2026 2020 2023 2017 100 200 300

Peers

Hao Yin
Comparison fields: 5 of 81
  • Statistical and Nonlinear Physics 350
  • Artificial Intelligence 233
  • Computer Networks and Communications 86
  • Molecular Biology 77
  • Computer Vision and Pattern Recognition 74
Replace Christos Giatsidis with:
Christos Giatsidis France
Andreas Lommatzsch Germany
Joyce Jiyoung Whang South Korea
Sucheta Soundarajan United States
Ken Wakita Japan
Koji Hino United States
Yubao Wu United States
J. Ignacio Alvarez-Hamelin Argentina
Karl Jiang United States
Thomas A. J. Schweiger United States
Christos Giatsidis France View profile →
Citations per field, relative to Hao Yin
Hao Yin · 1×
Citations per year, relative to Hao Yin
Hao Yin · 1×

Countries citing papers authored by Hao Yin

Since Specialization
Citations

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

Fields of papers citing papers by Hao Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Yin. A scholar is included among the top collaborators of Hao Yin 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 Hao Yin. Hao Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 1
2 6
3 2
4 8
5 49
6 25
7 1
8 63
9
Strong NP-hardness for sparse optimization with concave penalty functions
4
10
Local Higher-Order Graph Clustering breakdown →
354
11 1
12 2

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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