Xiaojia Han

491 citations
19 papers · 334 · h-index 10

Impact in

Papers in

Xiaojia Han

19 papers receiving 331 citations

Peers

Xiaojia Han
Comparison fields: 5 of 53
  • Control and Systems Engineering 188
  • Automotive Engineering 44
  • Computer Networks and Communications 83
  • Artificial Intelligence 88
  • Safety, Risk, Reliability and Quality 22
Replace Benkuan Wang with:
Benkuan Wang China
Benjamin Lussier France
Xunhua Dai China
Suraj Bijjahalli Australia
Junjie Yang China
Chung-Hao Huang Taiwan
George K. Fourlas Greece
Radovan Miucic United States
Chenglin Wu China
Jeich Mar Taiwan
Xiaojia Han relative to Benkuan Wang China Benkuan Wang's profile →
Citations per field
00.5×
Benkuan Wang · 1×
Citations per year

Countries citing papers authored by Xiaojia Han

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojia Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202054
2 202352
3 201841
4 202233
5 202130
6 202128
7 202122
8 202018
9 202015
10 202011
11 20188
12 20217
13 20194
14 20243
15 20163
16 20252
17 20211
18 20241
19 20181

About Xiaojia Han

Xiaojia Han is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications and Mechanical Engineering, having authored 19 papers that have together received 334 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (8 papers), Smart Grid Security and Resilience (5 papers), Machine Fault Diagnosis Techniques (3 papers), Anomaly Detection Techniques and Applications (2 papers), Network Security and Intrusion Detection (2 papers), Mineral Processing and Grinding (2 papers), Cryptographic Implementations and Security (2 papers) and Security and Verification in Computing (2 papers). The work is most often cited by research in Control and Systems Engineering (188 citations), Automotive Engineering (44 citations), Computer Networks and Communications (83 citations), Artificial Intelligence (88 citations) and Safety, Risk, Reliability and Quality (22 citations). Xiaojia Han has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Chao Pei, Yang Xiao, Wei Liang, Aidong Xu, Anhuan Xie, Seung Ho Hong, Haishan Huang, Kai Wang, Ning Zhang and Xiaobo Wang. Their work appears in journals such as IEEE Access, IEEE Sensors Journal, IEEE Transactions on Network Science and Engineering, IEEE Aerospace and Electronic Systems Magazine and EURASIP Journal on Wireless Communications and Networking.

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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