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Makale detayı · 2021 · article

Estimation of (n,p) reaction cross sections at 14.5 ∓0.5 MeV neutron energy by using artificial neural network

ISSN0969-8043
YÖKSİS OpenAlex Üst %10
Yıl2021
Atıf27OpenAlex
Yüzdelik%98,8
FWCI21,081,00 = dünya ortalaması
Scopus (SJR)Q3
WoS (JCR)Q2

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıApplied Radiation and Isotopes
  • Katalog eşleşmesi (ISSN)Applied Radiation and Isotopes
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

Özet henüz derlenmedi; DergiPark / OpenAlex kuyruğu işlenince burada görünecek.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

27atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 38 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2023 Estimations for (n,α) reaction cross sections at around 14.5MeV using Levenberg-Marquardt algorithm-based artificial neural networkAtıf 39 · OpenAlex
  2. 2023 Estimations for (n,α) reaction cross sections at around 14.5MeV using Levenberg-Marquardt algorithm-based artificial neural networkAtıf 39 · OpenAlex
  3. 2023 Estimations for (n,α) reaction cross sections at around 14.5MeV using Levenberg-Marquardt algorithm-based artificial neural networkAtıf 36 · OpenAlex
  4. 2023 Estimations for (n,α) reaction cross sections at around 14.5MeV using Levenberg-Marquardt algorithm-based artificial neural networkAtıf 36 · OpenAlex
  5. 2024 Neural network predictions of (α,n) reaction cross sections at 18.5±3 MeV using the Levenberg-Marquardt algorithmAtıf 29 · OpenAlex
  6. 2024 Neural network predictions of (α,n) reaction cross sections at 18.5±3 MeV using the Levenberg-Marquardt algorithmAtıf 29 · OpenAlex
  7. 2024 Neural network predictions of (α,n) reaction cross sections at 18.5±3 MeV using the Levenberg-Marquardt algorithmAtıf 29 · OpenAlex
  8. 2023 Estimations for the Production Cross Sections of Medical 61, 64, 67Cu Radioisotopes by Using Bayesian Regularized Artificial Neural Networks in (p, α) ReactionsAtıf 25 · OpenAlex
  9. 2023 Estimations for the Production Cross Sections of Medical 61, 64, 67Cu Radioisotopes by Using Bayesian Regularized Artificial Neural Networks in (p, α) ReactionsAtıf 25 · OpenAlex
  10. 2021 A study on the estimations of (n,t) reaction cross-sections at 14.5 MeV by using artificial neural networkAtıf 20 · OpenAlex

Yazarlar

1
  1. HASAN ÖZDOĞAN ANTALYA BİLİM ÜNİVERSİTESİ 1