CYPBL: Crop Yield Prediction using Bi-Directional LSTM under PySpark interface DOI

Yashi Chaudhary,

Heman Pathak

Multimedia Tools and Applications, Год журнала: 2024, Номер 83(31), С. 75781 - 75800

Опубликована: Фев. 20, 2024

Язык: Английский

Global research trends and emerging hotspots in nano-drug delivery systems for lung cancer: a comprehensive bibliometric analysis (1998–2024) DOI Creative Commons
Yu Cao, Chunhai Fan, Y. Chen

и другие.

Discover Oncology, Год журнала: 2025, Номер 16(1)

Опубликована: Янв. 11, 2025

Nano-drug delivery systems (NDDS) have become a promising alternative and adjunctive strategy for lung cancer (LC) treatment. However, comprehensive bibliometric analyses examining global research efforts on NDDS in LC are scarce. This study aims to fill this gap by identifying key trends, emerging hotspots, collaboration networks within the field of LC. A total 2452 publications, spanning from 1998 2024, were extracted Web Science Core Collection. The data analyzed using tools such as VOSviewer, CiteSpace, R package 'bibliometrix'. analysis covered contributions 12,539 researchers affiliated with 2689 institutions across 55 countries, their work published 551 different journals. Research output has increased steadily, China United States leading both publication volume impact. Major contributors include Chinese Academy Sciences Shanghai Jiao Tong University. International Journal Nanomedicine most articles, while Controlled Release ranked highest co-citations. Kamal Dua authored papers, Maeda, H. was frequently co-cited author. Key areas encompass "active targeting", "drug optimization", "overcoming drug resistance", "nanocarriers", "pulmonary delivery". Emerging hotspots "epithelial mesenchymal transition", "mucus penetration", "lipid nanoparticles", "hydrogels", "immune checkpoint inhibitors". analysis, first LC, identifies targeting" nanoparticles" These findings provide essential insights guide future optimize treatment strategies.

Язык: Английский

Процитировано

1

CYPBL: Crop Yield Prediction using Bi-Directional LSTM under PySpark interface DOI

Yashi Chaudhary,

Heman Pathak

Multimedia Tools and Applications, Год журнала: 2024, Номер 83(31), С. 75781 - 75800

Опубликована: Фев. 20, 2024

Язык: Английский

Процитировано

1