Meng Gan

922 total citations · 1 hit paper
22 papers, 801 citations indexed

About

Meng Gan is a scholar working on Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Meng Gan has authored 22 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Control and Systems Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Meng Gan's work include Medical Image Segmentation Techniques (7 papers), Machine Fault Diagnosis Techniques (7 papers) and Retinal Imaging and Analysis (6 papers). Meng Gan is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Machine Fault Diagnosis Techniques (7 papers) and Retinal Imaging and Analysis (6 papers). Meng Gan collaborates with scholars based in China and United States. Meng Gan's co-authors include Changan Zhu, Cong Wang, Cong Wang, Cong Wang, Zujun Hou, Cong Wang, Miao Zhang, Na Yang, Deyin Li and Ting Yang and has published in prestigious journals such as IEEE Access, Medical Physics and Mechanical Systems and Signal Processing.

In The Last Decade

Meng Gan

19 papers receiving 782 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings

2015 477 citations Meng Gan, Cong Wang et al. Mechanical Systems and Signal Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meng Gan China	12	594	389	242	90	62	22	801
Xufeng Huang China	10	501 0.8×	370 1.0×	188 0.8×	138 1.5×	85 1.4×	24	796
Tingli Xie China	14	270 0.5×	223 0.6×	154 0.6×	108 1.2×	42 0.7×	34	727
Di Yuan United States	11	324 0.5×	237 0.6×	97 0.4×	95 1.1×	81 1.3×	17	605
Huaiqian Bao China	14	569 1.0×	353 0.9×	182 0.8×	143 1.6×	71 1.1×	52	816
Yafei Deng China	13	434 0.7×	433 1.1×	164 0.7×	88 1.0×	221 3.6×	14	974
Li Pin China	7	640 1.1×	474 1.2×	240 1.0×	73 0.8×	78 1.3×	23	875
Alexander E. Prosvirin South Korea	15	514 0.9×	338 0.9×	183 0.8×	68 0.8×	52 0.8×	21	673
Gaoliang Peng China	7	632 1.1×	411 1.1×	201 0.8×	83 0.9×	54 0.9×	7	792
Rahul K. Sevakula India	13	300 0.5×	156 0.4×	69 0.3×	212 2.4×	35 0.6×	35	675
Wenguang Yang China	11	994 1.7×	639 1.6×	338 1.4×	254 2.8×	80 1.3×	22	1.3k

Countries citing papers authored by Meng Gan

Since Specialization

Citations

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

Fields of papers citing papers by Meng Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Gan. A scholar is included among the top collaborators of Meng Gan 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 Meng Gan. Meng Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tan, Xiao, et al.. (2025). Graph convolutional network model with a feature compensation module and dual-channel second-order pooling module for multimodal emotion recognition in conversation. Journal of King Saud University - Computer and Information Sciences. 37(5).

Gan, Meng, et al.. (2024). Efficient labeling for fine‐tuning chest X‐ray bone‐suppression networks for pediatric patients. Medical Physics. 52(2). 978–992. 2 indexed citations

Gan, Meng, et al.. (2024). Noninvasive assessment of single kidney glomerular filtration rate using multiple diffusion weighted imaging models. Abdominal Radiology. 50(1). 336–345. 1 indexed citations

Gan, Meng, et al.. (2024). Coronary artery segmentation framework based on three types of U-Net and voting ensembles. Health Information Science and Systems. 13(1). 6–6.

Wang, Cong & Meng Gan. (2023). Few‐shot segmentation for esophageal OCT images based on self‐supervised vision transformer. International Journal of Imaging Systems and Technology. 34(2). 1 indexed citations

Gan, Meng, et al.. (2022). A comparative study between deep learning and radiomics models in grading liver tumors using hepatobiliary phase contrast-enhanced MR images. BMC Medical Imaging. 22(1). 218–218. 11 indexed citations

Wang, Cong & Meng Gan. (2022). Wavelet attention network for the segmentation of layer structures on OCT images. Biomedical Optics Express. 13(12). 6167–6167. 4 indexed citations

Wang, Xue, Meng Gan, Lan Li, et al.. (2021). MRI-based radiomics model for distinguishing endometrial carcinoma from benign mimics: A multicenter study. European Journal of Radiology. 146. 110072–110072. 17 indexed citations

Wang, Cong & Meng Gan. (2021). Tissue self-attention network for the segmentation of optical coherence tomography images on the esophagus. Biomedical Optics Express. 12(5). 2631–2631. 7 indexed citations

10.

Wang, Cong, Meng Gan, Miao Zhang, & Deyin Li. (2020). Adversarial convolutional network for esophageal tissue segmentation on OCT images. Biomedical Optics Express. 11(6). 3095–3095. 13 indexed citations

11.

Gan, Meng, et al.. (2019). Fast esophageal layer segmentation in OCT images of guinea pigs based on sparse Bayesian classification and graph search. Biomedical Optics Express. 10(2). 978–978. 11 indexed citations

12.

Gan, Meng, et al.. (2018). Robust layer segmentation of esophageal OCT images based on graph search using edge-enhanced weights. Biomedical Optics Express. 9(9). 4481–4481. 14 indexed citations

13.

Zhang, Miao, Cong Wang, Meng Gan, et al.. (2018). Automated Segmentation of Esophagus Layers from OCT Images Using Fast Marching Method. 39 7. 117–122.

14.

Gan, Meng, et al.. (2016). A supervised sparsity-based wavelet feature for bearing fault diagnosis. Journal of Intelligent Manufacturing. 30(1). 229–239. 25 indexed citations

15.

Gan, Meng, et al.. (2015). Non-negative EMD manifold for feature extraction in machinery fault diagnosis. Measurement. 70. 188–202. 39 indexed citations

16.

Gan, Meng, Cong Wang, & Changan Zhu. (2015). Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings. Mechanical Systems and Signal Processing. 72-73. 92–104. 477 indexed citations breakdown →

17.

Gan, Meng, Cong Wang, & Changan Zhu. (2015). Multiple-domain manifold for feature extraction in machinery fault diagnosis. Measurement. 75. 76–91. 44 indexed citations

18.

Wang, Cong, Meng Gan, & Changan Zhu. (2015). Intelligent fault diagnosis of rolling element bearings using sparse wavelet energy based on overcomplete DWT and basis pursuit. Journal of Intelligent Manufacturing. 28(6). 1377–1391. 42 indexed citations

19.

Gan, Meng, Cong Wang, & Changan Zhu. (2015). Fault feature enhancement for rotating machinery based on quality factor analysis and manifold learning. Journal of Intelligent Manufacturing. 29(2). 463–480. 12 indexed citations

20.

Gan, Meng. (2014). Airport Runway Detection Based on Line Feature Detection of Partitioned Remote Sensing Images. Acta Aeronautica et Astronautica Sinica. 3 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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