Lu Meng

641 total citations
43 papers, 438 citations indexed

About

Lu Meng is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Lu Meng has authored 43 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Cognitive Neuroscience and 9 papers in Biomedical Engineering. Recurrent topics in Lu Meng's work include Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and EEG and Brain-Computer Interfaces (6 papers). Lu Meng is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and EEG and Brain-Computer Interfaces (6 papers). Lu Meng collaborates with scholars based in China, United States and Australia. Lu Meng's co-authors include Jing Xiang, Beilei Wang, Yunfeng Wu, Shanshan Yang, Suxian Cai, Fang Zheng, Sridhar Krishnan, Meihong Wu, Qianqian Zhang and Ge Kang and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Instrumentation and Measurement and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Lu Meng

38 papers receiving 416 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lu Meng China	11	135	111	94	84	79	43	438
Deepthi Rajashekar Canada	14	126 0.9×	134 1.2×	78 0.8×	92 1.1×	76 1.0×	35	636
Ting Ma China	15	194 1.4×	234 2.1×	66 0.7×	86 1.0×	72 0.9×	83	657
Chunlan Yang China	12	253 1.9×	181 1.6×	122 1.3×	60 0.7×	28 0.4×	37	528
Yuchuan Qiao United States	10	176 1.3×	82 0.7×	46 0.5×	67 0.8×	45 0.6×	32	423
Inas A. Yassine Egypt	9	150 1.1×	143 1.3×	60 0.6×	77 0.9×	63 0.8×	33	394
Mina Amiri Canada	9	102 0.8×	234 2.1×	46 0.5×	67 0.8×	64 0.8×	16	440
Jacob Levman Canada	12	229 1.7×	76 0.7×	40 0.4×	46 0.5×	167 2.1×	33	564
Tian Siva Tian United States	6	137 1.0×	187 1.7×	33 0.4×	46 0.5×	93 1.2×	10	520
Qingyu Zhao United States	15	220 1.6×	239 2.2×	48 0.5×	95 1.1×	187 2.4×	64	779
Matías Nicolás Bossa Spain	13	170 1.3×	78 0.7×	40 0.4×	151 1.8×	78 1.0×	29	547

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-authorship network of co-authors of Lu Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Meng. A scholar is included among the top collaborators of Lu Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lu Meng. Lu Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Yi, Lu Meng, & Yuying Fan. (2025). CMTS-GNN: a cross-modal temporal-spectral graph neural network with cognitive network explainability. Frontiers in Neurology. 16. 1700161–1700161.

Meng, Lu, et al.. (2024). TriageAgent: Towards Better Multi-Agents Collaborations for Large Language Model-Based Clinical Triage. 5747–5764. 1 indexed citations

Meng, Lu, et al.. (2024). Reconstruction of natural images from human fMRI using a three-stage multi-level deep fusion model. Journal of Neuroscience Methods. 411. 110269–110269.

Meng, Lu & Xiaoran Wang. (2024). TAWFN: a deep learning framework for protein function prediction. Bioinformatics. 40(10). 7 indexed citations

Meng, Lu, et al.. (2023). Dual-Guided Brain Diffusion Model: Natural Image Reconstruction from Human Visual Stimulus fMRI. Bioengineering. 10(10). 1117–1117. 3 indexed citations

Meng, Lu, et al.. (2023). Blockchain Security Mechanism Design Based on Chinese Cryptosystem SM2 Algorithm. Mathematics. 11(14). 3036–3036. 1 indexed citations

Meng, Lu & Qianqian Zhang. (2023). Research on early diagnosis of Alzheimer's disease based on dual fusion cluster graph convolutional network. Biomedical Signal Processing and Control. 86. 105212–105212. 12 indexed citations

Meng, Lu, et al.. (2022). Electrical status epilepticus during sleep electroencephalogram waveform identification and analysis based on a graph convolutional neural network. Biomedical Signal Processing and Control. 77. 103788–103788. 8 indexed citations

Liu, Yang, et al.. (2021). MAGAN: Mask Attention Generative Adversarial Network for Liver Tumor CT Image Synthesis. Journal of Healthcare Engineering. 2021. 1–11. 8 indexed citations

10.

Meng, Lu, et al.. (2020). Progress of artificial intelligence diagnosis and prognosis technology for COVID-19 medical imaging. Journal of Image and Graphics. 25(10). 2058–2067. 1 indexed citations

11.

Wu, Di, Caiyun Wu, Xiaoshan Wang, et al.. (2018). Neuromagnetic correlates of audiovisual word processing in the developing brain. International Journal of Psychophysiology. 128. 7–21. 5 indexed citations

12.

Chu, Jun, et al.. (2018). Writer Verification using CNN Feature Extraction. 181–186. 5 indexed citations

13.

Meng, Lu & Jing Xiang. (2018). Brain Network Analysis and Classification Based on Convolutional Neural Network. Frontiers in Computational Neuroscience. 12. 95–95. 18 indexed citations

14.

Wang, Beilei & Lu Meng. (2016). Functional brain network alterations in epilepsy: A magnetoencephalography study. Epilepsy Research. 126. 62–69. 30 indexed citations

15.

Meng, Lu & Jing Xiang. (2016). Frequency specific patterns of resting-state networks development from childhood to adolescence: A magnetoencephalography study. Brain and Development. 38(10). 893–902. 8 indexed citations

16.

Wu, Yunfeng, Shanshan Yang, Fang Zheng, et al.. (2014). Removal of artifacts in knee joint vibroarthrographic signals using ensemble empirical mode decomposition and detrended fluctuation analysis. Physiological Measurement. 35(3). 429–439. 35 indexed citations

17.

Meng, Lu. (2013). CUDA-based Acceleration Algorithm of SIFT Feature Extraction. Journal of Northeastern University. 1 indexed citations

18.

Meng, Lu, Suxian Cai, Fang Zheng, et al.. (2012). Adaptive noise removal of knee joint vibration signals using a signal power error minimization method. 1193–1196. 5 indexed citations

19.

Meng, Lu, Jing Xiang, Rupesh Kotecha, et al.. (2010). White matter abnormalities in children and adolescents with temporal lobe epilepsy. Magnetic Resonance Imaging. 28(9). 1290–1298. 34 indexed citations

20.

Wang, Xiaoshan, Jing Xiang, Yingying Wang, et al.. (2010). Identification of Abnormal Neuromagnetic Signatures in the Motor Cortex of Adolescent Migraine. Headache The Journal of Head and Face Pain. 50(6). 1005–1016. 20 indexed citations

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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