Beta Sieve
Beta Sieve is a combinatorial sieve method in number theory that distinguishes itself by employing a weighted counting approach with a parameterized beta function to optimize the sifting density in upper and lower bound estimates for prime-counting problems.
8
Publications
404
Citations
43
Authors
14
Institutions
Publications per year
2017–2026
3
Parents
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43
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14
Texas A&M University
College Station, United States
1 h-index
2 publications
50 citations
Fudan University
Shanghai, China
1 h-index
5 publications
670 citations
Qilu University of Technology
Jinan, China
1 h-index
10 publications
150 citations
Shandong Academy of Sciences
Jinan, China
1 h-index
10 publications
150 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
2 publications
56 citations
Sinopec (China)
Beijing, China
1 h-index
1 publications
16 citations
Qingdao University of Science and Technology
Qingdao, China
1 h-index
8 publications
128 citations
Jilin University
Changchun, China
1 h-index
4 publications
176 citations
1–8 of 14
1 publications · 44 citations
1
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JCB · 1 publications · 118 citations
1
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1 publications · 28 citations
1
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1 publications · 134 citations
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1 publications · 24 citations
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