Siwang Zhou

1.1k citations
58 papers · 797 · h-index 14

Impact in

Papers in

Siwang Zhou

53 papers receiving 776 citations

Peers

Siwang Zhou
Comparison fields: 5 of 73
  • Computer Science Applications 60
  • Computer Networks and Communications 246
  • Computer Vision and Pattern Recognition 198
  • Artificial Intelligence 268
  • Signal Processing 83
Replace Liqun Li with:
Liqun Li China
Fanzi Zeng China
Dan Tao China
Xizhao Luo China
Minghui Min China
Yasser Shoukry United States
Kimmo Järvinen Finland
Yee Wei Law Australia
Yonghong Kuo China
Siwang Zhou relative to Liqun Li China Liqun Li's profile →
Citations per field
00.5×2.6×
Liqun Li · 1×
Citations per year

Countries citing papers authored by Siwang Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Siwang Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015131
2 2020101
3 201770
4 202257
5 201453
6 201949
7 202246
8 201824
9 201921
10 201821
11 202220
12 201918
13 202017
14 202413
15 202311
16 200711
17 202311
18 201810
19 20239
20 20059

About Siwang Zhou

Siwang Zhou is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computational Mechanics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 58 papers that have together received 797 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (20 papers), Sparse and Compressive Sensing Techniques (14 papers), Energy Efficient Wireless Sensor Networks (12 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), Wireless Networks and Protocols (5 papers), Opportunistic and Delay-Tolerant Networks (5 papers), Cryptography and Data Security (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Computer Science Applications (60 citations), Computer Networks and Communications (246 citations), Computer Vision and Pattern Recognition (198 citations), Artificial Intelligence (268 citations) and Signal Processing (83 citations). Siwang Zhou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yonghe Liu, Yaping Lin, Hongbo Jiang, Wei Zhang, Sheng Xiao, Jie Wu, Zhu Xiao, Daibo Liu, Chunhai Feng and Keqin Li. Their work appears in journals such as IEEE Internet of Things Journal, ACM Transactions on Sensor Networks, IEEE Transactions on Vehicular Technology, IEEE Transactions on Multimedia and IEEE Systems Journal.

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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