3c Tecnologia

3c Tecnologia是一份国际专业期刊,致力于汇集全球范围内最优秀的-研究者,为他们提供一个展示最新研究成果、交流学术思想的平台。该期刊中文名称:3c科技,国际简称:3C TECNOL本刊是一本OA开放访问期刊,该刊预计审稿周期: 12 Weeks 。

基础信息
  • 是否预警:否
  • 影响因子:0.9
  • ISSN:2254-4143
  • 出版语言:Spanish
  • 出版商:Area de Innovación y Desarrollo S.L
  • 出版地区:Spain
  • 是否预警:否
  • 是否OA:开放
  • 出版地区:Spain
  • 影响因子:0.9
  • 年发文量:45
  • 研究类文章占比:100.00%
  • Gold OA文章占比:92.16%

期刊简介

3c Tecnologia杂志是一本开放获取期刊,由Area de Innovación y Desarrollo S.L出版。该杂志是领域方面发表综合文章的国际论坛。此外,该期刊还有助于促进这些研究领域的科学家之间的交流,从而开发新的研究机会,通过新发现推动该领域的发展,并接触到各个层次的科学家。该刊入选的论文应具有广泛意义的数据、综合研究或概念。

3c Tecnologia已被国际权威数据库SCIE收录。该刊欢迎来自所有及其相关领域的投稿,编辑们致力于迅速评估和发表提交的论文,同时坚持高标准,该期刊发表多种类型的内容,包括原创研究论文、综述、信件、通讯和评论,这些内容详细阐述了该领域的重大进展并涵盖热门话题。

JCR分区(2023-2024年最新版)

按JIF指标学科分区 收录子集 分区 排名 百分位
学科:ENGINEERING, MULTIDISCIPLINARY ESCI Q3 111 / 179

38.3%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:ENGINEERING, MULTIDISCIPLINARY ESCI Q4 144 / 180

20.28%

期刊指数

影响因子和CiteScore统计图

影响因子和CiteScore都是重要的学术评价指标,能够帮助研究者和学者了解期刊的学术影响力。影响因子(Impact Factor)和CiteScore在计算方式和覆盖范围上有所不同。影响因子主要关注期刊过去两年内发表的论文被引用的次数,而CiteScore则考虑了过去三年的数据。此外,影响因子是基于Web of Science数据库计算的,而CiteScore则是基于Scopus数据库。这使得两种指标在评估学术期刊时具有不同的侧重点和覆盖范围。

该期刊中国学者近期发表论文选摘

  • RESEARCH ON INNOVATION OF DAILY IDEOLOGICAL AND POLITICAL EDUCATION FOR COLLEGE STUDENTS BASED ON DEEP LEARNING MODEL Journal: 3C TECNOLOGIA. 2023; Vol. 12, Issue 1, pp. 108-125. DOI: 10.17993/3ctecno.2023.v12n1e43.108-125
  • USING CLIMATE MODELS TO PREDICT EXTREME RAINFALL TREND IN YANHE RIVERBASIN, CHINA Journal: 3C TECNOLOGIA. 2023; Vol. 12, Issue 1, pp. 15-31. DOI: 10.17993/3ctecno.2023.v12n1e43.15-31
  • THE SIGNIFICANCE OF THE CONVOLUTIONAL DEEP LEARNING MODEL IN THE INTELLIGENT COLLABORATIVE CORRECTION OF ENGLISH WRITING Journal: 3C TECNOLOGIA. 2023; Vol. 12, Issue 1, pp. 142-157. DOI: 10.17993/3ctecno.2023.v12n1e43.142-157
  • APPLICATION OF SURVEYING AND MAPPING TECHNOLOGY BASED ON DEEP LEARNING MODEL IN PETROLEUM GEOLOGICAL EXPLORATION Journal: 3C TECNOLOGIA. 2023; Vol. 12, Issue 1, pp. 159-174. DOI: 10.17993/3ctecno.2023.v12n1e43.159-174
  • RESEARCH ON PHYSICAL FITNESS TRAINING OF FOOTBALL PLAYERS BASED ON IMPROVED LSTM NEURAL NETWORK TO IMPROVE PHYSICAL ENERGY SAVING AND HEALTH Journal: 3C TECNOLOGIA. 2023; Vol. 12, Issue 1, pp. 127-140. DOI: 10.17993/3ctecno.2023.v12n1e43.127-140
  • APPLICATION OF DEEP NN OPTIMIZED BY MULTI-PARAMETER FUSION IN IDEOLOGICAL AND POLITICAL CONSTRUCTION OF PROFESSIONAL COURSES IN COLLEGES AND UNIVERSITIES Journal: 3C TECNOLOGIA. 2023; Vol. 12, Issue 1, pp. 54-68. DOI: 10.17993/3ctecno.2023.v12n1e43.54-68
  • Global stability of the Euler-Bernoulli beams excited by multiplicative white noises Journal: 3C TECNOLOGIA. 2023; Vol. 12, Issue 1, pp. 386-412. DOI: 10.17993/3ctecno.2023.v12n1e43.386-412
  • DEEP LEARNING NETWORK-BASED TEACHING QUALITY OF INTERNATIONAL CHINESE EDUCATION Journal: 3C TECNOLOGIA. 2023; Vol. 12, Issue 1, pp. 87-106. DOI: 10.17993/3ctecno.2023.v12n1e43.87-106
  • BASIC DIRECTION AND REALIZATION PATH OF PE TEACHING INNOVATION IN PSS BASED ON DEEP LEARNING MODEL Journal: 3C TECNOLOGIA. 2023; Vol. 12, Issue 1, pp. 70-85. DOI: 10.17993/3ctecno.2023.v12n1e43.70-85
  • APPLYING THE STRENGTH REDUCTION METHOD TO STUDY OF STABILITY OF RESIDUAL MOUNTAINS: A PARTICULAR APPLICATION Journal: 3C TECNOLOGIA. 2023; Vol. 12, Issue 1, pp. 33-52. DOI: 10.17993/3ctecno.2023.v12n1e43.33-52
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