Ming Meng

2.7k total citations
63 papers, 1.8k citations indexed

About

Ming Meng is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and General Economics, Econometrics and Finance. According to data from OpenAlex, Ming Meng has authored 63 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 6 papers in General Economics, Econometrics and Finance. Recurrent topics in Ming Meng's work include Visual perception and processing mechanisms (30 papers), Face Recognition and Perception (25 papers) and Neural dynamics and brain function (15 papers). Ming Meng is often cited by papers focused on Visual perception and processing mechanisms (30 papers), Face Recognition and Perception (25 papers) and Neural dynamics and brain function (15 papers). Ming Meng collaborates with scholars based in United States, China and Germany. Ming Meng's co-authors include Frank Tong, Randolph Blake, Junsoo Lee, James E. Payne, Ke Zhou, Huan Luo, Pawan Sinha, Lin Chen, Kun Song and Daniel J. Graham and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Ming Meng

58 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Meng United States 16 1.3k 317 236 166 123 63 1.8k
Frouke Hermens United Kingdom 20 935 0.7× 195 0.6× 95 0.4× 173 1.0× 175 1.4× 88 1.4k
Jochen Ditterich United States 23 2.0k 1.5× 156 0.5× 52 0.2× 153 0.9× 41 0.3× 42 2.3k
Günter Löffler United Kingdom 19 1.1k 0.8× 310 1.0× 34 0.1× 170 1.0× 307 2.5× 53 1.4k
Derek H. Arnold Australia 24 1.8k 1.3× 884 2.8× 16 0.1× 308 1.9× 102 0.8× 121 2.2k
Shuo Wang United States 22 970 0.7× 168 0.5× 9 0.0× 137 0.8× 337 2.7× 94 1.5k
Paul A. Warren United Kingdom 18 774 0.6× 138 0.4× 81 0.3× 110 0.7× 176 1.4× 60 1.1k
Sharon Gilaie‐Dotan United Kingdom 19 870 0.7× 207 0.7× 16 0.1× 137 0.8× 144 1.2× 49 1.0k
Rani Moran United Kingdom 19 899 0.7× 220 0.7× 70 0.3× 140 0.8× 64 0.5× 49 1.2k
Eugene McSorley United Kingdom 21 983 0.7× 296 0.9× 102 0.4× 101 0.6× 114 0.9× 49 1.3k
Andrey R. Nikolaev Belgium 21 1.1k 0.8× 150 0.5× 52 0.2× 139 0.8× 73 0.6× 65 1.3k

Countries citing papers authored by Ming Meng

Since Specialization
Citations

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

Fields of papers citing papers by Ming Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Meng

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

All Works

20 of 20 papers shown
1.
Zhou, Ke, et al.. (2025). Unraveling the neural dichotomy of consensus and idiosyncratic experiences in short video viewing. Brain and Cognition. 184. 106260–106260. 3 indexed citations
2.
Zhang, Xinyu, et al.. (2025). Imageless imagery in aphantasia revealed by early visual cortex decoding. Current Biology. 35(3). 591–599.e4. 12 indexed citations
3.
Shao, Xiaojun, Yuan Wang, Guang‐Ming Liang, et al.. (2024). Novel therapeutic targets for major depressive disorder related to oxidative stress identified by integrative multi-omics and multi-trait study. Translational Psychiatry. 14(1). 443–443. 8 indexed citations
4.
Jiang, Rong & Ming Meng. (2023). Integration and suppression interact in binocular vision. Journal of Vision. 23(10). 17–17. 3 indexed citations
5.
Meng, Ming, et al.. (2023). Autism impairs face perception? Opposite associations between different subclusters of autistic traits and illusory face detection. Visual Cognition. 31(10). 786–795. 1 indexed citations
6.
Zhu, Fangwei, et al.. (2022). Separate neural subsystems support goal-directed speech listening. NeuroImage. 263. 119613–119613.
7.
Luo, Huan, et al.. (2020). Fluctuations of fMRI activation patterns in visual object priming. 78–84. 4 indexed citations
8.
Meng, Ming, Ken Birman, Anjan Bose, et al.. (2018). GridCloud: Infrastructure for Cloud-Based Wide Area Monitoring of Bulk Electric Power Grids. IEEE Transactions on Smart Grid. 10(2). 2170–2179. 15 indexed citations
9.
Meng, Ming, Junsoo Lee, & James E. Payne. (2016). RALS-LM unit root test with trend breaks and non-normal errors: application to the Prebisch-Singer hypothesis. Studies in Nonlinear Dynamics and Econometrics. 21(1). 31–45. 47 indexed citations
10.
Meng, Ming, et al.. (2016). Visual Search of Mooney Faces. Frontiers in Psychology. 7. 155–155. 9 indexed citations
11.
Meng, Ming, et al.. (2015). Inversion effects reveal dissociations in facial expression of emotion, gender, and object processing. Frontiers in Psychology. 6. 1029–1029. 7 indexed citations
12.
Zheng, Xiaolin, et al.. (2015). Decoding brain responses to pixelized images in the primary visual cortex: implications for visual cortical prostheses. SHILAP Revista de lepidopterología. 10(10). 1622–1622. 2 indexed citations
13.
Meng, Ming, et al.. (2015). The encoding of category-specific versus nonspecific information in human inferior temporal cortex. NeuroImage. 116. 240–247. 6 indexed citations
14.
Song, Kun, Ming Meng, Lin Chen, Ke Zhou, & Huan Luo. (2014). Behavioral Oscillations in Attention: Rhythmic α Pulses Mediated through θ Band. Journal of Neuroscience. 34(14). 4837–4844. 136 indexed citations
15.
Schlegel, Alexander, Prescott Alexander, Xueting Li, et al.. (2014). The artist emerges: Visual art learning alters neural structure and function. NeuroImage. 105. 440–451. 60 indexed citations
16.
Meng, Ming, et al.. (2013). Three essays on more powerful unit root tests with non-normal errors. 3 indexed citations
17.
Kohler, Peter J., Eric A. Reavis, Ming Meng, et al.. (2013). Pattern classification precedes region-average hemodynamic response in early visual cortex. NeuroImage. 78. 249–260. 15 indexed citations
18.
Yang, Hua, Jason Gors, & Ming Meng. (2011). Face-semblance leads to faster visual search and breaking interocular suppression. Journal of Vision. 11(11). 661–661. 1 indexed citations
19.
Meng, Ming & Mary C. Potter. (2010). An attentional blink for nontargets?. Attention Perception & Psychophysics. 73(2). 440–446. 3 indexed citations
20.
Meng, Ming & Mary C. Potter. (2008). Detecting and remembering pictures with and without visual noise. Journal of Vision. 8(9). 7–7. 17 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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