Lu Meng

641 citations
43 papers · 438 · h-index 11

Impact in

Papers in

Lu Meng

38 papers receiving 416 citations

Peers

Lu Meng
Comparison fields: 5 of 84
  • Neurology 51
  • Radiology, Nuclear Medicine and Imaging 135
  • Cognitive Neuroscience 111
  • Computer Vision and Pattern Recognition 84
  • Psychiatry and Mental health 58
Replace Deepthi Rajashekar with:
Deepthi Rajashekar Canada
Delaram Sadeghi Australia
Chunlan Yang China
April Khademi Canada
Jiannan Zheng China
Jingyu Liu China
Giacomo Donato Cascarano Italy
Morteza Zabihi Finland
C. Jiménez-Mesa Spain
Lu Meng relative to Deepthi Rajashekar Canada Deepthi Rajashekar's profile →
Citations per field
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Deepthi Rajashekar · 1×
Citations per year

Countries citing papers authored by Lu Meng

Since Specialization
Citations

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

Fields of papers citing papers by Lu Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201963
2 201339
3 201435
4 201034
5 202131
6 201630
7 202127
8 201020
9 201818
10 201813
11 202312
12 20168
13 20218
14 20228
15 20228
16 20198
17 20247
18 20167
19 20116
20
Adaptive noise removal of knee joint vibration signals using a signal power error minimization method
20125

About Lu Meng

Lu Meng is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Biomedical Engineering, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 438 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Functional Brain Connectivity Studies (5 papers), Neural dynamics and brain function (5 papers), Advanced Neural Network Applications (4 papers), Cell Image Analysis Techniques (3 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Neurology (51 citations), Radiology, Nuclear Medicine and Imaging (135 citations), Cognitive Neuroscience (111 citations), Computer Vision and Pattern Recognition (84 citations) and Psychiatry and Mental health (58 citations). Lu Meng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jing Xiang, Beilei Wang, Yunfeng Wu, Shanshan Yang, Fang Zheng, Suxian Cai, Sridhar Krishnan, Qianqian Zhang, Meihong Wu and Zihuai Lin. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Biomedical Signal Processing and Control, Multimedia Tools and Applications, Epilepsy Research and Bioinformatics.

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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