JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

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期刊名

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

J NETW COMPUT APPL

ISSN / eISSN

1084-8045 / 1095-8592

目标和范围

The Journal of Network and Computer Applications welcomes research contributions, surveys and notes in all areas relating to computer networks and applications thereof.

研究方向

计算机：硬件

计算机：跨学科应用

计算机：软件工程

CiteScore

19.00

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CiteScore 学科排名

类别	分区	排名
Computer Science - Computer Science Applications	Q1	#14/792
Computer Science - Computer Networks and Communications	Q1	#9/379
Computer Science - Hardware and Architecture	Q1	#5/169

Web of Science 核心合集

Science Citation Index Expanded (SCIE)	Social Sciences Citation Index (SSCI)
Indexed	-

类别 (Journal Citation Reports 2023)	分区
COMPUTER SCIENCE, HARDWARE & ARCHITECTURE - SCIE	Q1
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS - SCIE	Q1
COMPUTER SCIENCE, SOFTWARE ENGINEERING - SCIE	Q1

H-index

出版国家或地区

ENGLAND

出版商

Academic Press Inc.

出版周期

Bimonthly

年文章数

137

Open Access

通讯方式

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 24-28 OVAL RD, LONDON, ENGLAND, NW1 7DX

同领域相关热门期刊
近期发表文章

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Two formal design solutions for the generalization of network segmentation: (2023) Mohammed Alabbad, Neerja Mhaskar, Ridha Khedri

Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review: (2023) Hamza Kheddar, Yassine Himeur, Ali Ismail Awad

Capturing spatial–temporal correlations with Attention based Graph Convolutional Network for network traffic prediction: (2023) Yingya Guo, Yufei Peng, Run Hao, Xiang Tang

NLP methods in host-based intrusion detection systems: A systematic review and future directions: (2023) Zarrin Tasnim Sworna, Zahra Mousavi, Muhammad Ali Babar

Boundary node detection in wireless networks with uneven node distribution on open surfaces: (2023) Linna Wei, Wenlong Huang, Wei Zhao, Xuangou Wu, Xiao Zheng

AI-powered intrusion detection in large-scale traffic networks based on flow sensing strategy and parallel deep analysis: (2023) Hoang V. Vo, Hanh P. Du, Hoa N. Nguyen

Defeating deep learning based de-anonymization attacks with adversarial example: (2023) Haoyu Yin, Yingjian Liu, Yue Li, Zhongwen Guo, Yu Wang

认证评论

注：认证评论选取于全球各个学术评论平台和社交媒体。

The review speed was extremely poor, with the first review taking nearly a year. During this period, I contacted the editor and chief editor numerous times. The chief editor passed the responsibility to the editor, who ignored my emails. In the end, I had no choice but to withdraw the paper. The chief editor replied, "I am sorry that the previous editor did not complete the review of this paper. I will be carrying out the rest of the review of your paper."

The opinions of the two reviewers did not contribute significantly to improving the quality of the paper. The chief editor rejected it, and I subsequently submitted it to another journal, where it was accepted.

2022-11-23

Submitted in mid-May, the first review was in early August with four reviewers. Two accepted directly, one suggested minor revisions, and one suggested major revisions. The editor provided feedback for the minor revisions, which were sent back in early September. Accepted on October 7th, the process was quick. Previously, the paper was submitted to mathematical journals such as AMM and AMC, as well as operations research journals like COR, but all were rejected by the editors. This time, it was submitted to a computer science journal, and the process went smoothly.

2022-10-07

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