Hao Lan

12 papers receiving 374 citations

Hao Lan's Hit Papers

WavCapsNet: An Interpretable Intelligent Compound Fault Diagnosis Method by Backward Tracking 2023 · 109 citations
1090+1+2Years since publication255075100

Peers

Hao Lan
Comparison fields: 5 of 47
  • Ocean Engineering 177
  • Civil and Structural Engineering 233
  • Mechanical Engineering 192
  • Control and Systems Engineering 91
  • Mechanics of Materials 83
Replace Reza Rahmani with:
Reza Rahmani Iran
Mauro Hugo Mathias Brazil
Lirong Wan China
U. Bhardwaj Portugal
Dimitris Chatzigeorgiou United States
Krzysztof Lalik Poland
Jian Fu China
VietHung Nguyen Singapore
Yifeng Zhang China
R. S. Kanchan India
Hao Lan relative to Reza Rahmani Iran Reza Rahmani's profile →
Citations per field
00.5×1.5×
Reza Rahmani · 1×
Citations per year

Countries citing papers authored by Hao Lan

Since Specialization
Citations

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

Fields of papers citing papers by Hao Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Hao Lan, 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 Hao Lan Line = papers co-authored together Hao Lan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
WavCapsNet: An Interpretable Intelligent Compound Fault Diagnosis Method by Backward Tracking
Hit paper breakdown →
2023109
2 201859
3 201754
4 201941
5 202025
6 201622
7 202116
8 202115
9 202315
10 201210
11 20197
12 20244

About Hao Lan

Hao Lan is a scholar working on Civil and Structural Engineering, Ocean Engineering, Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials, having authored 12 papers that have together received 377 indexed citations. Recurring topics across this work include Tunneling and Rock Mechanics (8 papers), Drilling and Well Engineering (7 papers), Advanced machining processes and optimization (3 papers), Machine Fault Diagnosis Techniques (2 papers), Advanced Surface Polishing Techniques (2 papers), Rock Mechanics and Modeling (2 papers), Energy and Environment Impacts (1 paper) and Supercapacitor Materials and Fabrication (1 paper). The work is most often cited by research in Ocean Engineering (177 citations), Civil and Structural Engineering (233 citations), Mechanical Engineering (192 citations), Control and Systems Engineering (91 citations) and Mechanics of Materials (83 citations). Hao Lan has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Yimin Xia, Zhiyong Ji, Junbin Chen, Ke Feng, Weihua Li, Ruyi Huang, Jie Fu, Bin Miao, Laikuang Lin and Xuhui Zhang. Their work appears in journals such as Tunnelling and Underground Space Technology, Energy, Scientific Reports, Chinese Journal of Mechanical Engineering 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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