Skip to content
akaturk Academic measurement

OpenAlex topic

Lepidoptera: Biology and Taxonomy

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 1,402 works 58 author topics

Works

1,402 works

  1. OpenAlex top 10% OpenAlex 98.1%

    Summary 1. Despite great concern about the effects of fragmentation on biodiversity, quantitative studies are still scarce with respect to many major groups and important environments. Well‐studied natural reference sites are few. 2. Extensive light trapping surveys for moths were thus carried out in both dry and wet…

  2. OpenAlex top 10% OpenAlex 98.2%

    Butterflies in the large Palearctic genus Agrodiaetus (Lepidoptera: Lycaenidae) are extremely uniform and exhibit few distinguishing morphological characters. However, these insects are distinctive in one respect: as a group they possess among the greatest interspecific karyotype diversity in the animal kingdom, with…

  3. YÖKSİS OpenAlex top 10% OpenAlex 91.9%

    No abstract yet.

  4. YÖKSİS SJR Q2 JCR Q2 OpenAlex top 1% OpenAlex 99.2%

    No abstract yet.

  5. YÖKSİS SJR Q2 JCR Q2 OpenAlex top 1% OpenAlex 99.2%

    No abstract yet.

  6. YÖKSİS SJR Q2 JCR Q2 OpenAlex top 1% OpenAlex 99.2%

    No abstract yet.

  7. YÖKSİS SJR Q2 JCR Q2 OpenAlex top 1% OpenAlex 99.2%

    No abstract yet.

  8. YÖKSİS OpenAlex top 10% OpenAlex 97.2%

    In this study, we present an application of extreme learning machine (ELM) and image processing techniques for identifying butterfly species as an alternative to conventional diagnostic methods. This paper evaluates the capability of butterfly species classification by using texture features of butterfly images. Two t…

  9. YÖKSİS SJR Q3 JCR Q3 OpenAlex top 10% OpenAlex 97.2%

    In this study, we present an application of extreme learning machine (ELM) and image processing techniques for identifying butterfly species as an alternative to conventional diagnostic methods. This paper evaluates the capability of butterfly species classification by using texture features of butterfly images. Two t…

  10. YÖKSİS SJR Q3 JCR Q3 OpenAlex top 10% OpenAlex 97.2%

    In this study, we present an application of extreme learning machine (ELM) and image processing techniques for identifying butterfly species as an alternative to conventional diagnostic methods. This paper evaluates the capability of butterfly species classification by using texture features of butterfly images. Two t…

  11. YÖKSİS SJR Q4 JCR Q4 OpenAlex 89.4%

    The Zygaenidae fauna of the Thrace Region (European Turkey) was studied by using attractant traps as well as by netting specimens in biotopes. Esters of 2-dodecenoic acid and stereoisomers of 2-butanol were used as sex attractants. Sixteen Zygaenidae species from five genera were found: Theresimima Strand, 1917 (1 spe…

  12. YÖKSİS SJR Q4 JCR Q4 OpenAlex 89.4%

    The Zygaenidae fauna of the Thrace Region (European Turkey) was studied by using attractant traps as well as by netting specimens in biotopes. Esters of 2-dodecenoic acid and stereoisomers of 2-butanol were used as sex attractants. Sixteen Zygaenidae species from five genera were found: Theresimima Strand, 1917 (1 spe…

Academicians

58 academicians