Ping Wu

2.7k citations
126 papers · 1.8k indexed · h-index 24

Ping Wu

117 papers receiving 1.8k citations

Peers

Ping Wu
Comparison fields: 5 of 132
  • Neurology 758
  • Neurology 121
  • Radiology, Nuclear Medicine and Imaging 322
  • Cellular and Molecular Neuroscience 254
  • Cognitive Neuroscience 268
Replace Chi‐Chao Chao with:
Chi‐Chao Chao Taiwan
Giovanni Calcagnini Italy
Sanjiv Bhatia United States
Xiaodong Cai China
Tae‐Seong Kim South Korea
Yongxia Zhou United States
Toshiyuki Kondo Japan
Georgios D. Mitsis Canada
Hiroki Tamura Japan
Rosana Esteller United States
Ping Wu relative to Chi‐Chao Chao Taiwan Chi‐Chao Chao's profile →
Citations per field
00.5×1.5×1.8×
Chi‐Chao Chao · 1×
Citations per year

Countries citing papers authored by Ping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20244
3 20243
4 202327
5 20231
6 202317
7 202213
8 202210
9 202214
10 202213
11 202138
12 20216
13 20207
14 202014
15 201833
16 201818
17 20170
18 20163
19 20155
20 201217

About Ping Wu

Ping Wu is a scholar working on Neurology, Computer Networks and Communications, Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 126 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (40 papers), Neurological disorders and treatments (26 papers), Cooperative Communication and Network Coding (17 papers), Advanced MIMO Systems Optimization (16 papers), Alzheimer's disease research and treatments (14 papers), Ultrasonics and Acoustic Wave Propagation (13 papers), Advanced Wireless Network Optimization (13 papers) and Functional Brain Connectivity Studies (12 papers). The work is most often cited by research in Neurology (758 citations), Neurology (121 citations), Radiology, Nuclear Medicine and Imaging (322 citations), Cellular and Molecular Neuroscience (254 citations) and Cognitive Neuroscience (268 citations). Ping Wu has collaborated with scholars based in China, Sweden and Germany. Frequent co-authors include Chuantao Zuo, Tadeusz Stepinski, Jingjie Ge, Jian Wang, Huiwei Zhang, Yilong Ma, R. Kažys, Shichun Peng, Yihui Guan and Honglin Hu. Their work appears in journals such as The Journal of the Acoustical Society of America, European Journal of Nuclear Medicine and Molecular Imaging, Movement Disorders, NeuroImage Clinical and Science China Information Sciences.

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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