Siye Wang

43 papers receiving 241 citations

Peers

Siye Wang
Comparison fields: 5 of 64
  • Signal Processing 48
  • Media Technology 27
  • Computer Networks and Communications 69
  • Electrical and Electronic Engineering 103
  • Computer Vision and Pattern Recognition 38
Replace Zhuo Wei with:
Zhuo Wei Singapore
Xuhui Chen United States
Alessandro Vizzarri Italy
Lin Qiao China
Prima Kristalina Indonesia
Jifeng Huang China
M. V. Subramanyam India
Aohan Li Japan
Sugeerthi Gurumoorthy India
Hae Don Chon United States
Siye Wang relative to Zhuo Wei Singapore Zhuo Wei's profile →
Citations per field
00.5×2×3×3.9×
Zhuo Wei · 1×
Citations per year

Countries citing papers authored by Siye Wang

Since Specialization
Citations

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

Fields of papers citing papers by Siye Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201930
2 201828
3 201823
4 202319
5 202116
6 202316
7 20159
8 20249
9 20229
10 20206
11 20146
12 20126
13 20176
14 20215
15 20254
16 20164
17 20204
18 20184
19 20204
20 20163

About Siye Wang

Siye Wang is a scholar working on Media Technology, Signal Processing, Computer Networks and Communications, Ocean Engineering and Electrical and Electronic Engineering, having authored 49 papers that have together received 247 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (22 papers), RFID technology advancements (11 papers), Underwater Vehicles and Communication Systems (8 papers), Energy Efficient Wireless Sensor Networks (6 papers), Gait Recognition and Analysis (5 papers), Speech and Audio Processing (4 papers), Human Mobility and Location-Based Analysis (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Signal Processing (48 citations), Media Technology (27 citations), Computer Networks and Communications (69 citations), Electrical and Electronic Engineering (103 citations) and Computer Vision and Pattern Recognition (38 citations). Siye Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanfang Zhang, Dali Zhu, Weiqing Huang, Tong Xi, Su Liu, Li Sun, Ziwen Cao, Junyan Cai, Zhenyu Liu and Chunyan Lu. Their work appears in journals such as Computer Networks, Wireless Communications and Mobile Computing, ACM Transactions on Sensor Networks, Journal of Neuroinflammation and Electronics.

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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