Chun Meng

3.0k citations
75 papers · 2.1k · h-index 23

Impact in

Papers in

Chun Meng

73 papers receiving 2.1k citations

Peers

Chun Meng
Comparison fields: 5 of 114
  • Cognitive Neuroscience 1.4k
  • Experimental and Cognitive Psychology 491
  • Radiology, Nuclear Medicine and Imaging 554
  • Psychiatry and Mental health 286
  • Biological Psychiatry 46
Replace Alexandre R. Franco with:
Alexandre R. Franco United States
Rastko Ćirić United States
Jazmin Camchong United States
José Miguel Soares Portugal
Oscar Estéban United States
Xiangyu Long Canada
Paulo Marques Portugal
Julia M. Huntenburg Germany
Ehsan Shokri‐Kojori United States
Thomas Wolfers Netherlands
Chun Meng relative to Alexandre R. Franco United States Alexandre R. Franco's profile →
Citations per field
00.5×1.5×
Alexandre R. Franco · 1×
Citations per year

Countries citing papers authored by Chun Meng

Since Specialization
Citations

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

Fields of papers citing papers by Chun Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014289
2 2013146
3 201397
4 202088
5 201582
6 201580
7 201673
8 201471
9 201262
10 201461
11 201857
12 201554
13 202152
14 201547
15 201243
16 201939
17 201138
18 202133
19 201629
20 202029

About Chun Meng

Chun Meng is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, Pediatrics, Perinatology and Child Health and Computer Networks and Communications, having authored 75 papers that have together received 2.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (46 papers), Advanced Neuroimaging Techniques and Applications (20 papers), Neural dynamics and brain function (14 papers), Advanced MRI Techniques and Applications (13 papers), Mental Health Research Topics (12 papers), Neonatal and fetal brain pathology (10 papers), Neural and Behavioral Psychology Studies (6 papers) and Cooperative Communication and Network Coding (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Experimental and Cognitive Psychology (491 citations), Radiology, Nuclear Medicine and Imaging (554 citations), Psychiatry and Mental health (286 citations) and Biological Psychiatry (46 citations). Chun Meng has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Christian Sorg, Afra M. Wohlschläger, Valentin Riedl, Claus Zimmer, Josef Bäuml, Masoud Tahmasian, Hans Förstl, Martin Scherr, Bharat B. Biswal and Felix Brandl. Their work appears in journals such as Cerebral Cortex, Human Brain Mapping, NeuroImage, Frontiers in Human Neuroscience and Brain Structure and Function.

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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