Gemeng Zhang

416 citations
15 papers · 239 · h-index 10

Impact in

Papers in

Gemeng Zhang

13 papers receiving 239 citations

Peers

Gemeng Zhang
Comparison fields: 5 of 61
  • Computational Mathematics 9
  • Cognitive Neuroscience 175
  • Radiology, Nuclear Medicine and Imaging 98
  • Experimental and Cognitive Psychology 27
  • Health Informatics 2
Replace Biao Cai with:
Biao Cai United States
Harini Eavani United States
Margaret King United States
Hejie Cui United States
Atif Riaz United Kingdom
Dylan Wood United States
Roman Filipovych United States
Harshvardhan Gazula United States
Alexander Bowring United Kingdom
Ali‐Reza Mohammadi‐Nejad United States
Gemeng Zhang relative to Biao Cai United States Biao Cai's profile →
Citations per field
00.5×1.5×
Biao Cai · 1×
Citations per year

Countries citing papers authored by Gemeng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Gemeng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Gemeng Zhang, 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 Gemeng Zhang Line = papers co-authored together Gemeng Zhang links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202140
2 201837
3 201936
4 202134
5 202019
6 201914
7 201913
8 202212
9 202011
10 201611
11 20236
12 20225
13 20201
14 20240
15 20200

About Gemeng Zhang

Gemeng Zhang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Health, Toxicology and Mutagenesis and Artificial Intelligence, having authored 15 papers that have together received 239 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (14 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Neural dynamics and brain function (6 papers), Advanced MRI Techniques and Applications (4 papers), Mental Health Research Topics (2 papers), EEG and Brain-Computer Interfaces (2 papers), Neonatal and fetal brain pathology (2 papers) and Health, Environment, Cognitive Aging (2 papers). The work is most often cited by research in Computational Mathematics (9 citations), Cognitive Neuroscience (175 citations), Radiology, Nuclear Medicine and Imaging (98 citations), Experimental and Cognitive Psychology (27 citations) and Health Informatics (2 citations). Gemeng Zhang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Vince D. Calhoun, Yu‐Ping Wang, Biao Cai, Aiying Zhang, Tony W. Wilson, Julia M. Stephen, Wenxing Hu, Li Xiao, Gang Qu and Xiang‐He Meng. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering, NeuroImage, Human Brain Mapping and Image and Vision Computing.

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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