Ping Wei

577 citations
16 papers · 462 · h-index 12

Impact in

Papers in

Ping Wei

16 papers receiving 459 citations

Peers

Ping Wei
Comparison fields: 5 of 81
  • Cognitive Neuroscience 133
  • Endocrinology, Diabetes and Metabolism 99
  • Nephrology 35
  • Radiology, Nuclear Medicine and Imaging 113
  • Neurology 33
Replace Stefan L.C. Geijselaers with:
Stefan L.C. Geijselaers Netherlands
Qun Huang China
Soo Hyun Kwon South Korea
Francesca Bianco Italy
Linlin Yang China
Qingxia Lin China
Yanli Jiang China
Alise Kalteniece United Kingdom
Jennifer Davies United Kingdom
Ann Little United States
Ping Wei relative to Stefan L.C. Geijselaers Netherlands Stefan L.C. Geijselaers's profile →
Citations per field
00.5×4.4×
Stefan L.C. Geijselaers · 1×
Citations per year

Countries citing papers authored by Ping Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ping Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201480
2 202357
3 201547
4 202146
5 201639
6 201839
7 201829
8 202224
9 201022
10 202221
11 202019
12 201916
13 202110
14 201710
15 20162
16 20151

About Ping Wei

Ping Wei is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 16 papers that have together received 462 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Bee Products Chemical Analysis (2 papers), Natural Antidiabetic Agents Studies (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Advanced MRI Techniques and Applications (2 papers), Dementia and Cognitive Impairment Research (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Cognitive Neuroscience (133 citations), Endocrinology, Diabetes and Metabolism (99 citations), Nephrology (35 citations), Radiology, Nuclear Medicine and Imaging (113 citations) and Neurology (33 citations). Ping Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jiuquan Zhang, Xuntao Yin, Jian Wang, Yanwei Zhang, Daihong Liu, Qiao‐Ying Yuan, Luqing Wei, Chen Liu, Ning Li and Chaoyang Zhou. Their work appears in journals such as Frontiers in Aging Neuroscience, Journal of Pharmacy and Pharmacology, Annals of Palliative Medicine, Journal of Immunology Research and Frontiers in Human Neuroscience.

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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