About Us
EN
ENCN
Advanced Powder TechnologyJournal Home
The aim of Advanced Powder Technology is to meet the demand for an international journal that integrates all aspects of science and technology research on powder and particulate materials. The journal fulfills this purpose by publishing original research papers, rapid communications, reviews, and translated articles by prominent researchers worldwide. Advanced Powder Technology covers various areas, but a discussion of powder technology and particulate science is highly required in articles. The discussion should relate to new powder and particulate materials, novel techniques, and innovative processes, especially those having potential practical implications, and should bring new understanding of powder technology. Topics include: Dynamics and phenomena of powder Powder and particle characterization Production of powder and particulate materials in gases and liquids (nanoparticles, fine ceramics, pharmaceuticals, particle modification, novel functional materials, etc.) Powder handling and operations (comminution, storage, transport, granulation, separation, fluidization, etc.) Aerosol and colloidal processing Measurement and control of powder processes Numerical simulation method (CFD, DEM, Monte Carlo method, population balance, etc.) The editorial work of Advanced Powder Technology, which was founded as the International Journal of the Society of Powder Technology, Japan, is now shared by distinguished board members, who operate in a unique framework designed to respond to the increasing global demand for articles on not only powder and particles, but also on various materials produced from them.
Publishing Model：
ISSN：0921-8831
|EISSN：1568-5527
|Publication Frequency：Seven times a year
|Last updated on 01 Sept 2026 / Current volume： 杚篫 / Current issue： 䟕
More Details
Mineral Processing Engineering
Chemical Industry
Industrial Pollution, Waste Treatment and Comprehensive Utilization
Impact Factor
Journal Impact Factor(JIF) 2024
鋺.缗
Journal Citation Indicator(JCI) 2024
蔡.炆躭
Web of Science Rank 2024:
乊沟佥喊沟乊乊葤喊沟佥, 。㡶乊胦喊。嵻欄
# 逦炆/声篫逦
68.29%
Q2
CiteScore Metrics
CiteScore 2024
䟕.蔡
=
声缗篫炆缗 Citation （2022-2024）
声鋺声炆 Article （2022-2024）
CiteScore Rank 2024
胦蠹桧㛁囹鵃嚷桧详 肃鯉 胦囹锆蠹㥌嚷囹⻊详
# 逦炆/鋺蔡杚
86.1%
Q1
佥蠹鵃蠹㥌囹⻊ 。㛁蠹陱嚷桧囹⻊ 乊鵃茡嚷鵃蠹蠹㥌嚷鵃茡
# 鋺声/缗篫鋺
85.04%
Q1
