Hao Yin

906 citations
12 papers · 516 indexed · 1 hit paper · h-index 6
Topics
Complex Network Analysis Techniques (5 papers)Opinion Dynamics and Social Influence (2 papers)Bioinformatics and Genomic Networks (2 papers)
Journals
SHILAP Revista de lepidopterologíaElectronicsPhysical review. E

In The Last Decade

Hao Yin

12 papers receiving 503 citations

Hit Papers

Local Higher-Order Graph Clustering20172026202020232017100200300

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 Joyce Jiyoung Whang with:
Joyce Jiyoung Whang South Korea
Andreas Lommatzsch Germany
Yubao Wu United States
Koji Hino United States
Chaobo He China
Amin Mantrach Spain
Karthik Subbian United States
Sucheta Soundarajan United States
Guoyong Cai China
Shitian Shen United States
Hao Yin relative to Joyce Jiyoung Whang South Korea Joyce Jiyoung Whang's profile →
Citations per field
00.5×1.5×2.1×
Joyce Jiyoung Whang · 1×
Citations per year

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
#WorkIndexed 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 Clusteringbreakdown →
354
11 1
12 2

About Hao Yin

Hao Yin is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics and Computer Science Applications, having authored 12 papers that have together received 516 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (350 citations), Computational Mathematics (9 citations) and Artificial Intelligence (233 citations). Hao Yin has collaborated with scholars based in United States, China and United Kingdom. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Electronics and Physical review. E.

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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