Hao Lü

926 citations
38 papers · 653 · 1 hit paper · h-index 14

Impact in

Papers in

Hao Lü

36 papers receiving 634 citations

Hao Lü's Hit Papers

A physics-informed deep learning approach for bearing fault detection 2021 · 184 citations
1840+1+3Years since publication50100150

Peers

Hao Lü
Comparison fields: 5 of 100
  • Human-Computer Interaction 82
  • Control and Systems Engineering 244
  • Computer Science Applications 26
  • Mechanical Engineering 156
  • Computer Vision and Pattern Recognition 62
Replace Jian Wan with:
Jian Wan United Kingdom
Jingwei Wang China
Chunfang Liu China
Ye-Hoon Kim South Korea
Wenjing Li China
Pengfei Wang China
Hasan U. Zaman Bangladesh
Hao Lü relative to Jian Wan United Kingdom Jian Wan's profile →
Citations per field
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Jian Wan · 1×
Citations per year

Countries citing papers authored by Hao Lü

Since Specialization
Citations

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

Fields of papers citing papers by Hao Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A physics-informed deep learning approach for bearing fault detection
Hit paper breakdown →
2021184
2 202350
3 202238
4 202138
5 201136
6 201332
7 201430
8 201729
9
Cascaded treemaps: examining the visibility and stability of structure in treemaps
200823
10 200422
11 201518
12 202117
13 202313
14 202313
15 202312
16 202411
17 201911
18 202110
19 20148
20 20207

About Hao Lü

Hao Lü is a scholar working on Control and Systems Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Human-Computer Interaction and Cognitive Neuroscience, having authored 38 papers that have together received 653 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (8 papers), Gear and Bearing Dynamics Analysis (7 papers), Interactive and Immersive Displays (5 papers), Tactile and Sensory Interactions (4 papers), Advanced machining processes and optimization (2 papers), Virtual Reality Applications and Impacts (2 papers), Industrial Vision Systems and Defect Detection (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Human-Computer Interaction (82 citations), Control and Systems Engineering (244 citations), Computer Science Applications (26 citations), Mechanical Engineering (156 citations) and Computer Vision and Pattern Recognition (62 citations). Hao Lü has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Chao Hu, Venkat Pavan Nemani, Yang Li, Adam Thelen, James Fogarty, Andrew T. Zimmerman, Mohammadkazem Sadoughi, Sheng Shen, Matthew J. Darr and Shawn Kenny. Their work appears in journals such as Mechanical Systems and Signal Processing, Journal of Agricultural and Food Chemistry, Colloids and Surfaces A Physicochemical and Engineering Aspects, Optik and Neurocomputing.

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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