Lingxi Peng

899 citations
68 papers · 583 indexed · h-index 12
Topics
Artificial Immune Systems Applications (19 papers)Network Security and Intrusion Detection (11 papers)Anomaly Detection Techniques and Applications (9 papers)
Partner nations
ChinaSudanUnited States

In The Last Decade

Lingxi Peng

66 papers receiving 556 citations

Peers

Lingxi Peng
Comparison fields: 5 of 101
  • Computer Networks and Communications 185
  • Artificial Intelligence 169
  • Electrical and Electronic Engineering 96
  • Computer Vision and Pattern Recognition 88
  • Biomedical Engineering 78
Replace Kamal Gulati with:
Kamal Gulati India
Inayatul Haq China
T. P. Latchoumi India
Joy Iong‐Zong Chen Taiwan
M. Saravanan India
Xiaofan Cheng China
Ahmad O. Aseeri Saudi Arabia
Noor Zaman Saudi Arabia
S. Dhanasekaran India
Mohammad Khalid Imam Rahmani Saudi Arabia
Lingxi Peng relative to Kamal Gulati India Kamal Gulati's profile →
Citations per field
00.5×20×40×53×
Kamal Gulati · 1×
Citations per year

Countries citing papers authored by Lingxi Peng

Since Specialization
Citations

This map shows the geographic impact of Lingxi Peng'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 Lingxi Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingxi Peng more than expected).

Fields of papers citing papers by Lingxi Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lingxi Peng. 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 Lingxi Peng. The network helps show where Lingxi Peng may publish in the future.

Co-authorship network of co-authors of Lingxi Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Lingxi Peng. A scholar is included among the top collaborators of Lingxi Peng 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 Lingxi Peng. Lingxi Peng 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 3
2 1
3 1
4 7
5 6
6 15
7 2
8 5
9 9
10 3
11 13
12 58
13 10
14 36
15 1
16
Masquerade intrusion detection algorithm with immune and genetic
1
17 2
18
Data self-destruction method
2
19 12
20 5

About Lingxi Peng

Lingxi Peng is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 68 papers that have together received 583 indexed citations. Recurring topics across this work include Artificial Immune Systems Applications (19 papers), Network Security and Intrusion Detection (11 papers) and Anomaly Detection Techniques and Applications (9 papers). The work is most often cited by research in Computer Networks and Communications (185 citations), Health Information Management (35 citations) and Artificial Intelligence (169 citations). Lingxi Peng has collaborated with scholars based in China, Sudan and United States. Frequent co-authors include Jun Cai, Zhongwei Liang, Waixi Liu, Jinquan Zeng, Caiming Liu, Wenbin Chen, Wubai Zhou, Jin Yang, Jiandong Zhang and Haohuai Liu. Their work appears in journals such as IEEE Access, Pattern Recognition and Information 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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