Na Pang

566 citations
42 papers · 419 · h-index 12

Impact in

Papers in

Na Pang

36 papers receiving 406 citations

Peers

Na Pang
Comparison fields: 5 of 95
  • Neurology 32
  • Cognitive Neuroscience 62
  • Biomedical Engineering 136
  • Health, Toxicology and Mutagenesis 37
  • Statistical and Nonlinear Physics 25
Replace Saeid Mehrkanoon with:
Saeid Mehrkanoon Australia
Jianfeng Wu United States
Ruofan Wang China
Tongning Wu China
Gérard Dray France
Min Lü China
Shimin Yin China
Karin Schwab Germany
Padmavati Khandnor India
Pietro Bonizzi Netherlands
Na Pang relative to Saeid Mehrkanoon Australia Saeid Mehrkanoon's profile →
Citations per field
00.5×
Saeid Mehrkanoon · 1×
Citations per year

Countries citing papers authored by Na Pang

Since Specialization
Citations

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

Fields of papers citing papers by Na Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201769
2 202146
3 201642
4 202137
5 202027
6 202023
7 202219
8 200718
9 201716
10 202114
11 201612
12 202212
13 202211
14 202210
15 20119
16 20178
17 20175
18 20234
19 20234
20 20233

About Na Pang

Na Pang is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 419 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (13 papers), Photoacoustic and Ultrasonic Imaging (6 papers), Context-Aware Activity Recognition Systems (4 papers), Wireless Networks and Protocols (3 papers), Neurological disorders and treatments (3 papers), Advanced Malware Detection Techniques (3 papers), Ultrasound Imaging and Elastography (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). The work is most often cited by research in Neurology (32 citations), Cognitive Neuroscience (62 citations), Biomedical Engineering (136 citations), Health, Toxicology and Mutagenesis (37 citations) and Statistical and Nonlinear Physics (25 citations). Na Pang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xiaoli Li, Lili Niu, Long Meng, Yudong Chen, Yi Yuan, Yi Wang, Yanying Wang, Hongwei Zhao, Dan Wang and Dali Zhu. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Physics of Fluids, IEEE Transactions on Biomedical Engineering, IEEE Journal of Biomedical and Health Informatics and Journal of Neural Engineering.

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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