Na Wang

1.7k citations
101 papers · 921 · h-index 18

Impact in

Papers in

Na Wang

85 papers receiving 868 citations

Peers

Na Wang
Comparison fields: 5 of 108
  • Nuclear Energy and Engineering 53
  • Artificial Intelligence 408
  • Computer Networks and Communications 267
  • Information Systems 225
  • Electronic, Optical and Magnetic Materials 78
Replace Jianjia Wang with:
Jianjia Wang China
Bo Mei China
Jung­hee Lee South Korea
Muhammad Ahsan Raza Pakistan
Libin Yang China
Mustafa Abdul Salam Egypt
S. Siva Sathya India
Chunmei Liu China
Na Wang relative to Jianjia Wang China Jianjia Wang's profile →
Citations per field
00.5×7.5×
Jianjia Wang · 1×
Citations per year

Countries citing papers authored by Na Wang

Since Specialization
Citations

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

Fields of papers citing papers by Na Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202083
2 200965
3 202061
4 201959
5 202045
6 201943
7 201838
8 202032
9 201830
10 202128
11 201828
12 202223
13 201923
14 201722
15 202222
16 201320
17 201918
18 201918
19 202416
20 201914

About Na Wang

Na Wang is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 101 papers that have together received 921 indexed citations. Recurring topics across this work include Cryptography and Data Security (27 papers), Energy Efficient Wireless Sensor Networks (22 papers), Privacy-Preserving Technologies in Data (21 papers), Security in Wireless Sensor Networks (13 papers), Mobile Ad Hoc Networks (13 papers), Blockchain Technology Applications and Security (8 papers), Cloud Data Security Solutions (8 papers) and Opportunistic and Delay-Tolerant Networks (7 papers). The work is most often cited by research in Nuclear Energy and Engineering (53 citations), Artificial Intelligence (408 citations), Computer Networks and Communications (267 citations), Information Systems (225 citations) and Electronic, Optical and Magnetic Materials (78 citations). Na Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Junsong Fu, Bharat Bhargava, Yuanyuan Cai, Yuanbo Guo, Fang Chen, Yi Zhao, Jinzhang Liu, Mingjun Hu, Guangcun Shan and Jian Li. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Parallel and Distributed Systems and Sensors.

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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