Baowei Wang

1.7k citations
80 papers · 1.1k · h-index 17

Impact in

Papers in

Baowei Wang

75 papers receiving 1.1k citations

Peers

Baowei Wang
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 391
  • Computer Networks and Communications 405
  • Computer Science Applications 72
  • Signal Processing 84
  • Artificial Intelligence 239
Replace Geoffrey Mainland with:
Geoffrey Mainland United States
Luiz Affonso Guedes Brazil
Lahouari Ghouti Saudi Arabia
You‐Chiun Wang Taiwan
Xiangyang Gong China
Jieren Cheng China
Jigang Wen China
Kebin Liu China
Yiyang Zhao China
Yingchi Mao China
Baowei Wang relative to Geoffrey Mainland United States Geoffrey Mainland's profile →
Citations per field
00.5×5.5×
Geoffrey Mainland · 1×
Citations per year

Countries citing papers authored by Baowei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Baowei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013232
2 2017117
3 201990
4 202250
5 201645
6 201744
7 202036
8 201736
9 200931
10 202330
11 201927
12 201721
13 202021
14 201519
15 201919
16 202119
17
Digital Watermarking Method for Data Integrity Protection in Wireless Sensor Networks
201317
18 201716
19 201114
20 202212

About Baowei Wang

Baowei Wang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Electrical and Electronic Engineering, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (22 papers), Energy Efficient Wireless Sensor Networks (17 papers), Security in Wireless Sensor Networks (14 papers), Mobile Ad Hoc Networks (6 papers), Water Quality Monitoring Technologies (6 papers), Indoor and Outdoor Localization Technologies (6 papers), Air Quality Monitoring and Forecasting (6 papers) and Digital Media Forensic Detection (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (391 citations), Computer Networks and Communications (405 citations), Computer Science Applications (72 citations), Signal Processing (84 citations) and Artificial Intelligence (239 citations). Baowei Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xingming Sun, Zhihua Xia, Xinhui Wang, Peng Zhao, Naixue Xiong, Tian Wang, Yonghong Chen, Yiqiao Cai, Hui Guan and Rong Yang. Their work appears in journals such as International Journal of Sensor Networks, Computers, materials & continua/Computers, materials & continua (Print), Mobile Networks and Applications, Sensors and IEEE Transactions on Vehicular Technology.

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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