Jinlong Fei

2.2k citations
27 papers · 1.4k indexed · 1 hit paper · h-index 5
Topics
Network Security and Intrusion Detection (19 papers)Internet Traffic Analysis and Secure E-voting (12 papers)Advanced Malware Detection Techniques (9 papers)
Partner nations
China

In The Last Decade

Jinlong Fei

24 papers receiving 1.3k citations

Hit Papers

A Deep Learning Approach for Intrusion Detection Using Re...201720262020202320174008001.2k

Peers

Jinlong Fei
Comparison fields: 5 of 77
  • Computer Networks and Communications 1.2k
  • Artificial Intelligence 1.1k
  • Signal Processing 698
  • Information Systems 148
  • Control and Systems Engineering 100
Replace Nathan Shone with:
Nathan Shone United Kingdom
Xinzheng He China
Arunan Sivanathan Australia
Jinlin Wang China
Xuewen Zeng China
Luiz F. Carvalho Brazil
S. Mercy Shalinie India
Sydney Mambwe Kasongo South Africa
Ritika Lohiya India
Yiqiang Sheng China
Jinlong Fei relative to Nathan Shone United Kingdom Nathan Shone's profile →
Citations per field
00.5×1.6×
Nathan Shone · 1×
Citations per year

Countries citing papers authored by Jinlong Fei

Since Specialization
Citations

This map shows the geographic impact of Jinlong Fei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jinlong Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinlong Fei more than expected).

Fields of papers citing papers by Jinlong Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinlong Fei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jinlong Fei. The network helps show where Jinlong Fei may publish in the future.

Co-authorship network of co-authors of Jinlong Fei

This figure shows the co-authorship network connecting the top 25 collaborators of Jinlong Fei. A scholar is included among the top collaborators of Jinlong Fei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinlong Fei. Jinlong Fei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 1
4 3
5 1
6 0
7 4
8 1
9 0
10 1
11 3
12 1
13 1
14 63
15
A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networksbreakdown →
1247
16 1
17 1
18 4
19 20
20 1

About Jinlong Fei

Jinlong Fei is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (19 papers), Internet Traffic Analysis and Secure E-voting (12 papers) and Advanced Malware Detection Techniques (9 papers). The work is most often cited by research in Signal Processing (698 citations), Computer Networks and Communications (1.2k citations) and Artificial Intelligence (1.1k citations). Jinlong Fei has collaborated with scholars based in China. Frequent co-authors include Yuefei Zhu, Xinzheng He, Shengli Liu, Yuefei Zhu, Chunxiang Gu, Xue Li, Jue Wang, Li Ding, Min Zhao and Yimin Liu. Their work appears in journals such as IEEE Access, Sensors and Applied Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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