Baokun Han

2.5k citations
107 papers · 1.9k · 1 hit paper · h-index 23

Impact in

Papers in

Baokun Han

98 papers receiving 1.9k citations

Baokun Han's Hit Papers

Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis 2023 · 124 citations
1240+1+2Years since publication4080120

Peers

Baokun Han
Comparison fields: 5 of 118
  • Control and Systems Engineering 1.2k
  • Mechanical Engineering 800
  • Mechanics of Materials 364
  • Industrial and Manufacturing Engineering 122
  • Artificial Intelligence 291
Replace Jian-Da Wu with:
Jian-Da Wu Taiwan
H. Metin Ertunç Türkiye
Dandan Peng China
Demba Diallo France
Jianwei Yang China
Jian Ma China
Kun Yu China
Baokun Han relative to Jian-Da Wu Taiwan Jian-Da Wu's profile →
Citations per field
00.5×10×20×30×39×
Jian-Da Wu · 1×
Citations per year

Countries citing papers authored by Baokun Han

Since Specialization
Citations

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

Fields of papers citing papers by Baokun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018164
2
Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis
Hit paper breakdown →
2023124
3 202196
4 202286
5 202375
6 202074
7 201971
8 201970
9 201859
10 202156
11 202051
12 202243
13 202142
14 202140
15 202040
16 202039
17 202138
18 202135
19 202034
20 202131

About Baokun Han

Baokun Han is a scholar working on Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials, Electrical and Electronic Engineering and Civil and Structural Engineering, having authored 107 papers that have together received 1.9k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (76 papers), Gear and Bearing Dynamics Analysis (50 papers), Fault Detection and Control Systems (23 papers), Engineering Diagnostics and Reliability (20 papers), Non-Destructive Testing Techniques (8 papers), Structural Health Monitoring Techniques (7 papers), Spectroscopy and Chemometric Analyses (5 papers) and Advanced machining processes and optimization (5 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Mechanical Engineering (800 citations), Mechanics of Materials (364 citations), Industrial and Manufacturing Engineering (122 citations) and Artificial Intelligence (291 citations). Baokun Han has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinrui Wang, Huaiqian Bao, Zongzhen Zhang, Shanshan Ji, Xingxing Jiang, Tao Lü, Fanqianhui Yu, Guifang Liu, Shunming Li and Sixiang Jia. Their work appears in journals such as Measurement Science and Technology, IEEE Access, Measurement, IEEE Transactions on Instrumentation and Measurement and New Journal of Chemistry.

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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