Xinting Ge

604 citations
31 papers · 404 · h-index 12

Impact in

Papers in

Xinting Ge

31 papers receiving 397 citations

Peers

Xinting Ge
Comparison fields: 5 of 95
  • Cognitive Neuroscience 120
  • Neurology 30
  • Pediatrics, Perinatology and Child Health 55
  • Radiology, Nuclear Medicine and Imaging 64
  • Developmental Neuroscience 8
Replace Francis A. M. Manno with:
Francis A. M. Manno Hong Kong
Matthew Marzelli United States
Ahmad Raza Khan India
Sinan Canan Türkiye
Beth Parente United States
Huilin Zhu China
Robert Ciszek Finland
Kazuya Kawabata Japan
Qianqian Li China
Yiting Ji China
Xinting Ge relative to Francis A. M. Manno Hong Kong Francis A. M. Manno's profile →
Citations per field
00.5×2.6×
Francis A. M. Manno · 1×
Citations per year

Countries citing papers authored by Xinting Ge

Since Specialization
Citations

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

Fields of papers citing papers by Xinting Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201541
2 202237
3 201633
4 201732
5 202330
6 202027
7 202224
8 201921
9 202114
10 202113
11 201412
12 202112
13 202311
14 202211
15 202110
16 202110
17 202110
18 201610
19 20248
20 20248

About Xinting Ge

Xinting Ge is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Psychiatry and Mental health and Plant Science, having authored 31 papers that have together received 404 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Neonatal and fetal brain pathology (7 papers), EEG and Brain-Computer Interfaces (5 papers), Fetal and Pediatric Neurological Disorders (4 papers), Smart Agriculture and AI (4 papers), Alzheimer's disease research and treatments (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Cognitive Neuroscience (120 citations), Neurology (30 citations), Pediatrics, Perinatology and Child Health (55 citations), Radiology, Nuclear Medicine and Imaging (64 citations) and Developmental Neuroscience (8 citations). Xinting Ge has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuchun Tang, Yonggang Shi, Weikuan Jia, Yuanjie Zheng, Yuchuan Qiao, Junhai Xu, Xiang Yin, Zhonghe Zhang, Haitao Ge and Xu Qian. Their work appears in journals such as NeuroImage, Frontiers in Plant Science, Frontiers in Aging Neuroscience, International Journal of Neural Systems and Cerebral Cortex.

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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