Haixia Hou

1.6k citations
8 papers · 1.1k indexed · 2 hit papers · h-index 7
Topics
Anomaly Detection Techniques and Applications (5 papers)Network Security and Intrusion Detection (4 papers)Internet Traffic Analysis and Secure E-voting (2 papers)
Partner nations
ChinaUnited Kingdom

In The Last Decade

Haixia Hou

8 papers receiving 981 citations

Hit Papers

Machine Learning and Deep Learning Methods for Cybersecurity201820262020202320182019200400600

Peers

Haixia Hou
Comparison fields: 5 of 102
  • Computer Networks and Communications 739
  • Artificial Intelligence 643
  • Signal Processing 473
  • Information Systems 176
  • Control and Systems Engineering 106
Replace Hongliang Zhu with:
Hongliang Zhu China
Anwar Haque Canada
Kangfeng Zheng China
Raouf Khayami Iran
Sang C. Suh United States
Zeeshan Ahmad Saudi Arabia
Euclides Carlos Pinto Neto Canada
Opeyemi Osanaiye Nigeria
Khalid Alsubhi Saudi Arabia
Xiaoyue Wan China
Haixia Hou relative to Hongliang Zhu China Hongliang Zhu's profile →
Citations per field
00.5×1.5×
Hongliang Zhu · 1×
Citations per year

Countries citing papers authored by Haixia Hou

Since Specialization
Citations

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

Fields of papers citing papers by Haixia Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixia Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Haixia Hou. A scholar is included among the top collaborators of Haixia Hou 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 Haixia Hou. Haixia Hou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 8
2 6
3 14
4 14
5 24
6
Robust detection for network intrusion of industrial IoT based on multi-CNN fusionbreakdown →
243
7
Machine Learning and Deep Learning Methods for Cybersecuritybreakdown →
737
8 5

About Haixia Hou

Haixia Hou is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Network Security and Intrusion Detection (4 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Signal Processing (473 citations), Computer Networks and Communications (739 citations) and Artificial Intelligence (643 citations). Haixia Hou has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Zhi Liu, Yang Xin, Yanmiao Li, Hongliang Zhu, Chunhua Wang, Yuling Chen, Lizhen Cui, Yuefeng Zhao, Wei Guo and Yujun Li. Their work appears in journals such as IEEE Access, Future Generation Computer Systems and IEEE Transactions on Instrumentation and Measurement.

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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