2026 Xiangjian He: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	49	5839	5672	179	178	421	10815

Overview

Xiangjian He is affiliated with the University of Technology Sydney in Australia. Their research spans multiple areas within Computer Science and Engineering, with a particular focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and Computer Networks and Communications, among other subfields.

The main fields of study reflected in their work include:

Computer Science
Engineering

More specific subfields of study cover:

Computer Vision and Pattern Recognition
Artificial Intelligence
Computer Networks and Communications
Radiology, Nuclear Medicine and Imaging
Electrical and Electronic Engineering

Their research contributions frequently address topics such as:

Anomaly Detection Techniques and Applications
Advanced Neural Network Applications
AI in cancer detection
Network Security and Intrusion Detection
Video Surveillance and Tracking Methods
Human Pose and Action Recognition
Domain Adaptation and Few-Shot Learning

Xiangjian He has published extensively, with prominent venues including:

arXiv (Cornell University)
SSRN Electronic Journal
IEEE Access
IEEE Transactions on Multimedia
Neurocomputing

Among recent papers, notable works include:

Security and Privacy in IoT Using Machine Learning and Blockchain, 2020, ACM Computing Surveys
RTVD: A Real-Time Volumetric Detection Scheme for DDoS in the Internet of Things, 2020, IEEE Access
An Optimized IoT-Enabled Big Data Analytics Architecture for Edge-Cloud Computing, 2022, IEEE Internet of Things Journal
Multi-frame feature-fusion-based model for violence detection, 2020, The Visual Computer
BuildSenSys: Reusing Building Sensing Data for Traffic Prediction With Cross-Domain Learning, 2020, IEEE Transactions on Mobile Computing

They collaborate frequently with several co-authors, including:

Wenjing Jia
Priyadarsi Nanda
Xiaochen Fan
Gengfa Fang
Chengpei Xu

Best Publications

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

Mohammad Hesam Hesamian;Wenjing Jia;Xiangjian He;Paul J. Kennedy

1559
Citations
Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm

Mohammed A. Ambusaidi;Xiangjian He;Priyadarsi Nanda;Zhiyuan Tan

698
Citations
A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis

Zhiyuan Tan;Aruna Jamdagni;Xiangjian He;Priyadarsi Nanda

402
Citations
A Novel Convolutional Neural Network Based Indoor Localization Framework With WiFi Fingerprinting

Xudong Song;Xiaochen Fan;Chaocan Xiang;Qianwen Ye

248
Citations
Learning-Based License Plate Detection Using Global and Local Features

Huaifeng Zhang;Wenjing Jia;Xiangjian He;Qiang Wu

232
Citations
Region-based license plate detection

Wenjing Jia;Huaifeng Zhang;Xiangjian He

227
Citations
Detection of Denial-of-Service Attacks Based on Computer Vision Techniques

Zhiyuan Tan;Aruna Jamdagni;Xiangjian He;Priyadarsi Nanda

178
Citations
A Sybil attack detection scheme for a forest wildfire monitoring application

Mian Ahmad Jan;Mian Ahmad Jan;Priyadarsi Nanda;Xiangjian He;Ren Ping Liu

156
Citations
PASCCC: Priority-based application-specific congestion control clustering protocol

Mian Ahmad Jan;Mian Ahmad Jan;Priyadarsi Nanda;Xiangjian He;Ren Ping Liu

153
Citations
A Robust Authentication Scheme for Observing Resources in the Internet of Things Environment

Mian Ahmad Jan;Priyadarsi Nanda;Xiangjian He;Zhiyuan Tan

149
Citations
Security and Privacy in IoT Using Machine Learning and Blockchain: Threats and Countermeasures

Nazar Waheed;Xiangjian He;Muhammad Ikram;Muhammad Usman

139
Citations
A new method for violence detection in surveillance scenes

Tao Zhang;Zhijie Yang;Wenjing Jia;Baoqing Yang

138
Citations
Mean shift for accurate license plate localization

Wenjing Jia;Huaifeng Zhang;Xiangjian He;M. Piccardi

132
Citations
PAWN: a payload-based mutual authentication scheme for wireless sensor networks

Mian Ahmad Jan;Priyadarsi Nanda;Muhammad Usman;Xiangjian He

126
Citations
Blockchain Based Secured Identity Authentication and Expeditious Revocation Framework for Vehicular Networks

Nisha Malik;Priyadarsi Nanda;Arushi Arora;Xiangjian He

125
Citations
Hexagonal Structure for Intelligent Vision

Xiangjian He;Wenjing Jia

112
Citations
A Sybil Attack Detection Scheme for a Centralized Clustering-Based Hierarchical Network

Mian Ahmad Jan;Priyadarsi Nanda;Xiangjian He;Ren Ping Liu

111
Citations
Enhancing Big Data Security with Collaborative Intrusion Detection

Zhiyuan Tan;Upasana T. Nagar;Xiangjian He;Priyadarsi Nanda

107
Citations
An effective document image deblurring algorithm

Xiaogang Chen;Xiangjian He;Jie Yang;Qiang Wu

104
Citations
Review Article: RePIDS: A multi tier Real-time Payload-based Intrusion Detection System

Aruna Jamdagni;Zhiyuan Tan;Xiangjian He;Priyadarsi Nanda

101
Citations
Discriminative Dictionary Learning With Motion Weber Local Descriptor for Violence Detection

Tao Zhang;Wenjing Jia;Xiangjian He;Jie Yang

96
Citations
Denial-of-service attack detection based on multivariate correlation analysis

Zhiyuan Tan;Aruna Jamdagni;Xiangjian He;Priyadarsi Nanda

76
Citations

Frequent Co-Authors

Min Xu University of Technology Sydney

Ren Ping Liu University of Technology Sydney

Wei-Chang Yeh National Tsing Hua University

Jinjun Chen Swinburne University of Technology

Kin-Man Lam Hong Kong Polytechnic University

Deepak Puthal United Arab Emirates University

Changsheng Xu Chinese Academy of Sciences

Yue M. Lu Beijing University of Posts and Telecommunications

Michael Blumenstein University of Technology Sydney

Bijan Samali Western Sydney University

External Links

Personal website of Xiangjian He Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens doors to diverse career journeys, and you don’t have to follow a traditional four-year pathway to achieve your goals. Many students explore associates degree online options, which offer a flexible and affordable entry point into tech fields—often allowing you to enter the workforce sooner.

If you’re eager to upskill quickly, consider 3-month certificate programs that pay well. These focused programs can boost your resume with in-demand certifications and help you start earning faster in areas like coding, network administration, or cybersecurity.

For those seeking advanced roles or specialization, pursuing the fastest online master's degree can help you earn higher credentials in a short time frame—sometimes in a year or less. When evaluating options, it’s wise to look into graduate degrees that are worth it in the tech sector, which consistently offer strong job prospects and earning potential.

With flexible learning formats and targeted programs, there’s a pathway for every ambition in computer science, whether you’re just starting out or advancing your career.