Na Wang

1.7k citations
97 papers · 842 indexed · h-index 18

Impact in

Papers in

Na Wang

78 papers receiving 790 citations

Peers

Na Wang
Comparison fields: 5 of 108
  • Nuclear Energy and Engineering 53
  • Artificial Intelligence 372
  • Computer Networks and Communications 247
  • Information Systems 211
  • Electronic, Optical and Magnetic Materials 75
Replace George Stamoulis with:
George Stamoulis Greece
Ruinian Li China
Zhiqiang Zhang China
Tong Liu China
Chen Wu China
Jianfei Sun China
S. Siva Sathya India
Juntao Gao China
Navdeep Kaur India
Na Wang relative to George Stamoulis Greece George Stamoulis's profile →
Citations per field
00.5×1.5×2.5×
George Stamoulis · 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 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202081
2 201957
3 200957
4 202056
5 201942
6 202040
7 201836
8 202030
9 201829
10 201826
11 202125
12 202223
13 201923
14 201320
15 202220
16 201720
17 201918
18 201917
19 201914
20 202413

About Na Wang

Na Wang is a scholar working on Nuclear Energy and Engineering, Computer Networks and Communications, Artificial Intelligence, Information Systems and Business and International Management, having authored 97 papers that have together received 842 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), Mobile Ad Hoc Networks (13 papers), Security in Wireless Sensor 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 (372 citations), Computer Networks and Communications (247 citations), Information Systems (211 citations) and Electronic, Optical and Magnetic Materials (75 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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