Xiaojiang Du

28.7k citations
628 papers · 19.8k indexed · 13 hit papers · h-index 71

Impact in

Papers in

Xiaojiang Du

597 papers receiving 19.1k citations

Hit Papers

A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security 2022 · 577 citations
5772006202620122019200400600

Peers

Xiaojiang Du
Comparison fields: 5 of 156
  • Computer Networks and Communications 11.0k
  • Information Systems 7.1k
  • Signal Processing 2.8k
  • Artificial Intelligence 7.0k
  • Computer Vision and Pattern Recognition 2.1k
Replace Mamoun Alazab with:
Mamoun Alazab Australia
Houbing Song United States
Naixue Xiong China
Jianfeng Ma China
Sherali Zeadally United States
Mauro Conti Italy
Abdullah Gani Malaysia
Yang Xiang Australia
Gautam Srivastava Canada
Kui Ren United States
Xiaojiang Du relative to Mamoun Alazab Australia Mamoun Alazab's profile →
Citations per field
00.5×10×15×17.8×
Mamoun Alazab · 1×
Citations per year

Countries citing papers authored by Xiaojiang Du

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojiang Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaojiang Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaojiang Du Line = papers co-authored together Xiaojiang Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20242
4 20242
5 20230
6 202319
7
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
Hit paper breakdown →
2022577
8 20224
9 20215
10 202135
11 20207
12 202043
13 202056
14 202077
15 201972
16 201985
17 201912
18 2019132
19 201827
20 20174

About Xiaojiang Du

Xiaojiang Du is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Computer Science Applications, having authored 628 papers that have together received 19.8k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (102 papers), Cryptography and Data Security (91 papers), Advanced Malware Detection Techniques (90 papers), Network Security and Intrusion Detection (80 papers), Blockchain Technology Applications and Security (74 papers), IoT and Edge/Fog Computing (58 papers), Mobile Ad Hoc Networks (55 papers) and Energy Efficient Wireless Sensor Networks (53 papers). The work is most often cited by research in Computer Networks and Communications (11.0k citations), Information Systems (7.1k citations), Signal Processing (2.8k citations), Artificial Intelligence (7.0k citations) and Computer Vision and Pattern Recognition (2.1k citations). Xiaojiang Du has collaborated with scholars based in United States, China and Qatar. Frequent co-authors include Mohsen Guizani, Zhihong Tian, Yang Xiao, Liehuang Zhu, Hsiao‐Hwa Chen, Meng Shen, Longfei Wu, Nadra Guizani, Hongfang Yu and Zhitao Guan. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, IEEE Network, IEEE Transactions on Vehicular Technology and IEEE Wireless Communications.

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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