Xiaofang Xia

757 citations
36 papers · 475 · h-index 13

Impact in

Papers in

Xiaofang Xia

32 papers receiving 453 citations

Peers

Xiaofang Xia
Comparison fields: 5 of 63
  • Control and Systems Engineering 213
  • Electrical and Electronic Engineering 283
  • Safety, Risk, Reliability and Quality 33
  • Artificial Intelligence 105
  • Civil and Structural Engineering 69
Replace U. Qasim with:
U. Qasim Pakistan
Stefanie Kuenzel United Kingdom
Sangho Choe South Korea
Yukun Fang China
Maryam Farajzadeh-Zanjani Canada
Huailiang Zheng China
Subhash Lakshminarayana United Kingdom
Muhammad Sameer Sheikh China
Nitin Singh India
Xiaofang Xia relative to U. Qasim Pakistan U. Qasim's profile →
Citations per field
00.5×4.4×
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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202285
2 202346
3 202442
4 201837
5 201936
6 202227
7 201924
8 202119
9 201818
10 202417
11 201516
12 201514
13 202412
14 20249
15 20238
16 20227
17 20247
18 20236
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 36 papers that have together received 475 indexed citations. Recurring topics across this work include Electricity Theft Detection Techniques (12 papers), Smart Grid Security and Resilience (11 papers), Water Systems and Optimization (4 papers), Adversarial Robustness in Machine Learning (4 papers), Privacy-Preserving Technologies in Data (4 papers), Robotics and Sensor-Based Localization (3 papers), Non-Destructive Testing Techniques (3 papers) and Advanced Data and IoT Technologies (2 papers). The work is most often cited by research in Control and Systems Engineering (213 citations), Electrical and Electronic Engineering (283 citations), Safety, Risk, Reliability and Quality (33 citations), Artificial Intelligence (105 citations) and Civil and Structural Engineering (69 citations). Xiaofang Xia has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yang Xiao, Wei Liang, Jiangtao Cui, Meng Zheng, Bo Yang, Jian Lin, Huaguang Shi, Chaofan Ma, Buhong Wang and Qiannan Jia. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Information Forensics and Security, IEEE Access, IEEE Internet of Things Journal 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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