Na Wang

1.8k citations
107 papers · 1.3k · h-index 19

Impact in

Papers in

Na Wang

90 papers receiving 1.2k citations

Peers

Na Wang
Comparison fields: 5 of 128
  • Nuclear Energy and Engineering 54
  • Neurology 229
  • Artificial Intelligence 427
  • Computer Networks and Communications 276
  • Biological Psychiatry 24
Replace Theodoros Alexakis with:
Theodoros Alexakis Greece
Chenxin Li China
Xiaoliang Wang China
Yuqing Sun China
Ayesha Maqbool Pakistan
Xuefei Li China
Rong Li China
Zhe Liu China
Songjie Wang United States
Mengmeng Li China
Na Wang relative to Theodoros Alexakis Greece Theodoros Alexakis's profile →
Citations per field
00.5×2×3×4.1×
Theodoros Alexakis · 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 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019288
2 202089
3 200964
4 202063
5 201959
6 202050
7 201945
8 201837
9 202035
10 201830
11 201829
12 202128
13 202224
14 201723
15 201923
16 202222
17 201321
18 202420
19 201920
20 201918

About Na Wang

Na Wang is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Nuclear Energy and Engineering and Pollution, having authored 107 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cryptography and Data Security (28 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 (9 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 (54 citations), Neurology (229 citations), Artificial Intelligence (427 citations), Computer Networks and Communications (276 citations) and Biological Psychiatry (24 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, Jinzhang Liu, Yi Zhao, Mingjun Hu, Guangcun Shan and Jianwei Liu. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Vehicular Technology and IEEE Transactions on Parallel and Distributed Systems.

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.

Explore authors with similar magnitude of impact