Yu Meng

1.1k total citations
42 papers, 710 citations indexed

About

Yu Meng is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, Yu Meng has authored 42 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 15 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Computer Networks and Communications. Recurrent topics in Yu Meng's work include Functional Brain Connectivity Studies (16 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Neonatal and fetal brain pathology (9 papers). Yu Meng is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Neonatal and fetal brain pathology (9 papers). Yu Meng collaborates with scholars based in United States, China and South Korea. Yu Meng's co-authors include Dinggang Shen, Gang Li, Weili Lin, Jing Li, Li Wang, John H. Gilmore, Zhengwang Wu, Fan Wang, Islem Rekik and Shi-Xiong Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Scientific Reports.

In The Last Decade

Yu Meng

39 papers receiving 692 citations

Peers

Yu Meng

RNMI

PPCH

EEE

CNC

Peter Van Hese Belgium

Jun‐Young Chung South Korea

Datian Ye China

Yunfeng Lu China

Mahboobeh Jafari Australia

Jing Xia China

Zhuo Zhang China

Tohid Yousefi Rezaii Iran

Barry Van Veen United States

Peter Van Hese Belgium

Yu Meng

395 ×1.5

101 ×0.4

RNMI

24 ×0.1

PPCH

63 ×0.5

EEE

17 ×0.1

CNC

Citations per year, relative to Yu Meng Yu Meng (= 1×) peers Peter Van Hese

Countries citing papers authored by Yu Meng

Since Specialization

Citations

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

Fields of papers citing papers by Yu Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Meng. A scholar is included among the top collaborators of Yu 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 Yu Meng. Yu 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

Meng, Yu, Jiawei Zhan, Kangshun Li, Fei Yan, & L. Zhang. (2025). A rapid and precise algorithm for maize leaf disease detection based on YOLO MSM. Scientific Reports. 15(1). 6016–6016. 5 indexed citations

Hu, Qinwen, et al.. (2025). FNSE-SBGAN: Far-field speech enhancement with Schrödinger bridge and generative adversarial networks. Applied Acoustics. 242. 111050–111050.

Meng, Yu, et al.. (2024). Multi-sensor-based intelligent monitoring system design for hazardous materials warehouse. IET conference proceedings.. 2023(49). 168–173.

Meng, Yu, et al.. (2023). Cognitive control subprocess deficits and compensatory modulation mechanisms in patients with frontal lobe injury revealed by EEG markers: a basic study to guide brain stimulation. General Psychiatry. 36(4). e101144–e101144. 6 indexed citations

Wang, Fan, Chunfeng Lian, Zhengwang Wu, et al.. (2019). Developmental topography of cortical thickness during infancy. Proceedings of the National Academy of Sciences. 116(32). 15855–15860. 78 indexed citations

Xia, Jing, Caiming Zhang, Fan Wang, et al.. (2018). A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants. PubMed. 2018. 683–686. 2 indexed citations

Duan, Dingna, Shunren Xia, Islem Rekik, et al.. (2018). Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications. NeuroImage. 185. 575–592. 22 indexed citations

Li, Gang, Li Wang, Pew‐Thian Yap, et al.. (2018). Computational neuroanatomy of baby brains: A review. NeuroImage. 185. 906–925. 121 indexed citations

Adeli, Ehsan, Yu Meng, Gang Li, Weili Lin, & Dinggang Shen. (2018). Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data. NeuroImage. 185. 783–792. 19 indexed citations

10.

Wu, Zhengwang, Gang Li, Yu Meng, et al.. (2017). 4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation. Lecture notes in computer science. 10433. 57–65. 10 indexed citations

11.

Adeli, Ehsan, Yu Meng, Gang Li, Weili Lin, & Dinggang Shen. (2017). Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data. Lecture notes in computer science. 10433. 40–48. 4 indexed citations

12.

Duan, Dingna, Shunren Xia, Yu Meng, et al.. (2017). Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information. Lecture notes in computer science. 10433. 12–20. 6 indexed citations

13.

Meng, Yu, Gang Li, Li Wang, et al.. (2016). Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset. Lecture notes in computer science. 9900. 10–18. 7 indexed citations

14.

Meng, Yu, Gang Li, Yaozong Gao, et al.. (2016). Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains. Lecture notes in computer science. 9601. 83–92. 1 indexed citations

15.

Wang, Bin, Xiaochun Yang, Guoren Wang, et al.. (2016). Energy efficient approximate self-adaptive data collection in wireless sensor networks. Frontiers of Computer Science. 10(5). 936–950. 6 indexed citations

16.

Meng, Yu, Gang Li, Weili Lin, John H. Gilmore, & Dinggang Shen. (2015). Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study. Lecture notes in computer science. 9351. 560–568. 2 indexed citations

17.

Meng, Yu, Gang Li, Yaozong Gao, & Dinggang Shen. (2015). Automatic parcellation of cortical surfaces using random forests. PubMed. 2015. 810–813. 7 indexed citations

18.

Meng, Yu, Gang Li, Weili Lin, John H. Gilmore, & Dinggang Shen. (2014). Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants. NeuroImage. 100. 206–218. 89 indexed citations

19.

Meng, Yu & Hui Zhang. (2011). Registration of point clouds using sample-sphere and adaptive distance restriction. The Visual Computer. 27(6-8). 543–553. 11 indexed citations

20.

Meng, Yu, et al.. (2010). EVALUATING SURVIVABILITY AND COSTS OF THREE VIRTUAL MACHINE BASED SERVER ARCHITECTURES. 478–485. 2 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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