Lei Lü

86 papers receiving 1.6k citations

Hit Papers

Industrial Big Data in an Industry 4.0 Environment: Challenges, Schemes, and Applications for Predictive Maintenance 2017 · 307 citations
3070+3+6Years since publication100200300

Peers

Lei Lü
Comparison fields: 5 of 163
  • Medical Laboratory Technology 39
  • Health Informatics 32
  • Industrial and Manufacturing Engineering 199
  • Control and Systems Engineering 284
  • Molecular Biology 468
Replace Chia‐Hung Lin with:
Chia‐Hung Lin Taiwan
Mei‐Ling Huang Taiwan
Vishal Jain India
Seokho Kang South Korea
Alessandro Massaro Italy
Guoyan Li China
Muhammad Awais Pakistan
Lei Lü relative to Chia‐Hung Lin Taiwan Chia‐Hung Lin's profile →
Citations per field
00.5×10×13×
Chia‐Hung Lin · 1×
Citations per year

Countries citing papers authored by Lei Lü

Since Specialization
Citations

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

Fields of papers citing papers by Lei Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Industrial Big Data in an Industry 4.0 Environment: Challenges, Schemes, and Applications for Predictive Maintenance
Hit paper breakdown →
2017307
2 2005212
3 2014157
4 201397
5 201388
6 201579
7 202370
8 201463
9 201460
10 201733
11 202428
12 201628
13 202227
14 202324
15 201621
16 202418
17 201117
18 202017
19 202017
20 202216

About Lei Lü

Lei Lü is a scholar working on Control and Systems Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, having authored 97 papers that have together received 1.7k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (8 papers), Fault Detection and Control Systems (7 papers), Machine Fault Diagnosis Techniques (7 papers), Non-Invasive Vital Sign Monitoring (6 papers), Heart Rate Variability and Autonomic Control (6 papers), Optical measurement and interference techniques (5 papers), Muscle activation and electromyography studies (5 papers) and Diabetes Treatment and Management (5 papers). The work is most often cited by research in Medical Laboratory Technology (39 citations), Health Informatics (32 citations), Industrial and Manufacturing Engineering (199 citations), Control and Systems Engineering (284 citations) and Molecular Biology (468 citations). Lei Lü has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Jihong Yan, Li Lin, Tiangang Liu, Fayin Zhu, Zixin Deng, Clarence W. de Silva, Xiaofang Zhong, David A. Clifton, David G. Whitten and Xinyan Shi. Their work appears in journals such as Optics Express, IEEE Journal of Biomedical and Health Informatics, Measurement, Applied Surface Science and IEEE Access.

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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