Yining Wang

1.1k citations
40 papers · 728 · 1 hit paper · h-index 13

Impact in

Papers in

Yining Wang

36 papers receiving 706 citations

Yining Wang's Hit Papers

Performance Optimization for Semantic Communications: An Attention-Based Reinforcement Learning Approach 2022 · 141 citations
1410+1+2Years since publication4080120

Peers

Yining Wang
Comparison fields: 5 of 75
  • Computer Networks and Communications 288
  • Artificial Intelligence 231
  • General Dentistry 11
  • Electrical and Electronic Engineering 301
  • Computer Vision and Pattern Recognition 100
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Citations per field
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Citations per year

Countries citing papers authored by Yining Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yining Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Performance Optimization for Semantic Communications: An Attention-Based Reinforcement Learning Approach
Hit paper breakdown →
2022141
2 2012106
3 202096
4 202354
5 202144
6 202230
7 202327
8 202223
9 200822
10 202022
11 202321
12 201919
13 202416
14 200711
15 202211
16 200810
17 20219
18 20208
19 20228
20 20237

About Yining Wang

Yining Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 40 papers that have together received 728 indexed citations. Recurring topics across this work include Optical Wireless Communication Technologies (5 papers), Wireless Signal Modulation Classification (4 papers), Wireless Communication Security Techniques (4 papers), UAV Applications and Optimization (4 papers), Advanced Wireless Communication Technologies (4 papers), Smart Grid and Power Systems (3 papers), Cooperative Communication and Network Coding (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Computer Networks and Communications (288 citations), Artificial Intelligence (231 citations), General Dentistry (11 citations), Electrical and Electronic Engineering (301 citations) and Computer Vision and Pattern Recognition (100 citations). Yining Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tao Luo, Mingzhe Chen, Walid Saad, H. Vincent Poor, Dusit Niyato, Shuguang Cui, Zhaohui Yang, Hongyi Wang, Xin Wang and Yong Cui. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Journal on Selected Areas in Communications, Neurocomputing, Computer Communications and IEEE Access.

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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