Hu Cheng

1.8k citations
62 papers · 1.3k · h-index 19

Impact in

Papers in

Hu Cheng

60 papers receiving 1.3k citations

Peers

Hu Cheng
Comparison fields: 5 of 118
  • Cognitive Neuroscience 535
  • Radiology, Nuclear Medicine and Imaging 401
  • Psychiatry and Mental health 131
  • Experimental and Cognitive Psychology 119
  • Neurology 66
Replace Viola Borchardt with:
Viola Borchardt Germany
Christopher Petty United States
Alayar Kangarlu United States
Yukika Nishimura Japan
Elisabeth C. Caparelli United States
Bo‐yong Park South Korea
Muriah D. Wheelock United States
Meiling Li China
David Gasston United Kingdom
A.W. Toga United States
Hu Cheng relative to Viola Borchardt Germany Viola Borchardt's profile →
Citations per field
00.5×1.5×2.3×
Viola Borchardt · 1×
Citations per year

Countries citing papers authored by Hu Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Hu Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009170
2 201298
3 201171
4 202070
5 201561
6 201458
7 201556
8 201151
9 201447
10 201642
11 201738
12 201233
13 201431
14 201330
15 201829
16 201127
17 201825
18 201924
19 201724
20 202118

About Hu Cheng

Hu Cheng is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, Epidemiology and Cellular and Molecular Neuroscience, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (25 papers), Advanced Neuroimaging Techniques and Applications (24 papers), Advanced MRI Techniques and Applications (19 papers), Traumatic Brain Injury Research (4 papers), MRI in cancer diagnosis (3 papers), Medical Image Segmentation Techniques (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Cannabis and Cannabinoid Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (535 citations), Radiology, Nuclear Medicine and Imaging (401 citations), Psychiatry and Mental health (131 citations), Experimental and Cognitive Psychology (119 citations) and Neurology (66 citations). Hu Cheng has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Sharlene D. Newman, Brian F. O’Donnell, Yang Wang, Olaf Sporns, Tom A. Hummer, Vincent P. Mathews, William P. Hetrick, William G. Kronenberger, Andrew J. Saykin and Hedok Lee. Their work appears in journals such as Brain Imaging and Behavior, Frontiers in Human Neuroscience, PLoS ONE, Magnetic Resonance Imaging and Human Brain Mapping.

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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