Xiaofang Xia

34 papers receiving 508 citations

Xiaofang Xia's Hit Papers

LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection 2024 · 52 citations
520+1Years since publication1020304050

Peers

Xiaofang Xia
Comparison fields: 5 of 63
  • Control and Systems Engineering 228
  • Electrical and Electronic Engineering 298
  • Safety, Risk, Reliability and Quality 36
  • Computer Networks and Communications 82
  • Artificial Intelligence 113
Replace U. Qasim with:
U. Qasim Pakistan
Sangho Choe South Korea
W. M. Eden Hong Kong
Bo Mi China
Maryam Farajzadeh-Zanjani Canada
Stefanie Kuenzel United Kingdom
Yuzhang Lin United States
Yukun Fang China
Subhash Lakshminarayana United Kingdom
Huailiang Zheng China
Xiaofang Xia relative to U. Qasim Pakistan U. Qasim's profile →
Citations per field
00.5×5.7×
U. Qasim · 1×
Citations per year

Countries citing papers authored by Xiaofang Xia

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofang Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaofang Xia, 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 Xiaofang Xia Line = papers co-authored together Xiaofang Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202288
2
LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection
Hit paper breakdown →
202452
3 202350
4 201838
5 201937
6 202234
7 201924
8 202120
9 201818
10 202417
11 202416
12 201516
13 201514
14 202413
15 20239
16 20249
17 20228
18 20238
19 20236
20 20225

About Xiaofang Xia

Xiaofang Xia is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 37 papers that have together received 520 indexed citations. Recurring topics across this work include Electricity Theft Detection Techniques (12 papers), Smart Grid Security and Resilience (11 papers), Privacy-Preserving Technologies in Data (4 papers), Adversarial Robustness in Machine Learning (4 papers), Water Systems and Optimization (4 papers), Non-Destructive Testing Techniques (3 papers), Robotics and Sensor-Based Localization (3 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Control and Systems Engineering (228 citations), Electrical and Electronic Engineering (298 citations), Safety, Risk, Reliability and Quality (36 citations), Computer Networks and Communications (82 citations) and Artificial Intelligence (113 citations). Xiaofang Xia has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yang Xiao, Wei Liang, Jiangtao Cui, Bo Yang, Meng Zheng, Huaguang Shi, Chao Shen, Buhong Wang, Jian Lin and Jiwei Tian. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Expert Systems with Applications, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Instrumentation and Measurement and IEEE Internet of Things Journal.

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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