Slas Technology

SCI SCIE

国际简称：SLAS TECHNOL 参考译名：斯拉斯科技

主要研究方向：Computer Science-Computer Science Applications 非预警期刊审稿周期：11 Weeks

《斯拉斯科技》(Slas Technology)是一本由SAGE Publications Inc.出版的以Computer Science-Computer Science Applications为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊，近三年没有被列入预警名单。

3区中科院分区
Q2 JCR分区
123 年发文量
3.7 IF影响因子
未开放 是否OA
3 H-index
1997 创刊年份
6 issues/year 出版周期
English 出版语言

SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.

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Slas Technology期刊信息

ISSN：2472-6303
出版语言：English
是否OA：未开放
E-ISSN：2472-6311
出版地区：United States
是否预警：否
出版商：SAGE Publications Inc.
出版周期：6 issues/year
创刊时间：1997
开源占比：0.8526
Gold OA文章占比：100.00%
OA被引用占比：
出版国人文章占比：0
出版撤稿占比：
研究类文章占比：98.37%

Slas Technology CiteScore评价数据（2026年6月最新版）

CiteScore

SJR

SNIP

CiteScore 指数

5.1

0.586

0.767

学科类别	分区	排名	百分位
大类：Health Professions 小类：Medical Laboratory Technology	Q1	10 / 42	77%
大类：Health Professions 小类：Computer Science Applications	Q2	366 / 1022	64%

名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。

Slas Technology中科院评价数据

《新锐期刊分区表》（2026年3月发布）

Top期刊	综述期刊	大类学科		小类学科
否	否	医学	3区	BIOCHEMICAL RESEARCH METHODS 生化研究方法 CHEMISTRY, ANALYTICAL 分析化学	2区 2区

Slas Technology JCR评价数据

2025-2026年最新版

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：BIOCHEMICAL RESEARCH METHODS	SCIE	Q2	27 / 85	68.8
学科：CHEMISTRY, ANALYTICAL	SCIE	Q2	40 / 110	64.1
学科：BIOCHEMICAL RESEARCH METHODS	SCIE	Q2	28 / 85	67.65
学科：CHEMISTRY, ANALYTICAL	SCIE	Q2	34 / 110	69.55

Slas Technology历年数据统计

影响因子

中科院分区

Slas Technology中国学者发文选摘

1、Integrative transcriptomic profiling reveals molecular signatures of disease progression from gastroesophageal reflux disease to Barrett's esophagus: A foundation for single-cell resolution studie
Author: Jiang, Shanshan; Wang, Xiumin; Chen, Yujun; Dong, Weihua; Xu, Jing; Zhang, Chunlan; Zhou, Chun; Yu, Chun

Journal: SLAS TECHNOLOGY. 2026; Vol. 38, Issue , pp. -. DOI: 10.1016/j.slast.2026.100412
2、Development and validation of a novel ion-pair hydrophilic interaction liquid chromatography method for the separation and quantification of oligonucleotide therapeutic
Author: Zhang, Qian; Li, Xinjie; Jiang, Yalin; Wang, Zhen

Journal: SLAS TECHNOLOGY. 2026; Vol. 38, Issue , pp. -. DOI: 10.1016/j.slast.2026.100415
3、Identification of a telomere-aging-related gene as a novel prognostic factor for intrahepatic cholangiocarcinoma: Machine learning-aided biomarker discovery and experimental verificatio
Author: Yin, Jianjian; Wang, Yingying; Zhang, Hongmei; Qu, Wenhao

Journal: SLAS TECHNOLOGY. 2026; Vol. 38, Issue , pp. -. DOI: 10.1016/j.slast.2026.100416
4、Single cell transcriptomic atlas reveals macrophage polarization dynamics and intercellular communication networks in gingival tissue of periodontitis patients undergoing orthodontic treatmen
Author: Wang, Cong; Wang, Jing

Journal: SLAS TECHNOLOGY. 2026; Vol. 38, Issue , pp. -. DOI: 10.1016/j.slast.2026.100402
5、The application and management of wearable optical sensing technology in precision medical and health monitoring for the elderl
Author: Chen, Wenshan; Ye, Peisong; Jiang, Xiuling

Journal: SLAS TECHNOLOGY. 2026; Vol. 38, Issue , pp. -. DOI: 10.1016/j.slast.2026.100401
6、Graphene-based SPR biosensor in octagon-cross-shaped optimized with Au-Ag and SiC ceramic nanomaterials investigation for cancerous cells and single-cell RNA detectio
Author: Shabaz, Mohammad; Santhoshi, P. Megana; Bali, Manohar; Qiao, Sibo; Alam, Mohammad Shabbir; Abidi, Mustufa Haider; Alkhalefah, Hisham

Journal: SLAS TECHNOLOGY. 2026; Vol. 38, Issue , pp. -. DOI: 10.1016/j.slast.2026.100403
7、An integrated deep learning framework leveraging NASNet and vision transformer with MixProcessing for accurate and precise diagnosis of lung disease
Author: Saleem, Sajjad; Sajid, Muhammad Zaheer; Sharif, Abida; Amjad, Jarrar; Ulhaq, Anwaar; Aldossary, Haya

Journal: SLAS TECHNOLOGY. 2026; Vol. 38, Issue , pp. -. DOI: 10.1016/j.slast.2026.100394
8、Diffusion tensor imaging (DTI) combined with diffusion tensor tractography (DTT) in the brain function and volumetric imaging in children with autis
Author: Huang, Feifei; Wei, Yong; Lv, Zidong; Lv, Yang; Fu, Jie

Journal: SLAS TECHNOLOGY. 2026; Vol. 38, Issue , pp. -. DOI: 10.1016/j.slast.2026.100400