Peng Yang

5.2k citations
136 papers · 3.9k indexed · 3 hit papers · h-index 29

Impact in

    • IoT and Edge/Fog Computing
    • Caching and Content Delivery
    • Opportunistic and Delay-Tolerant Networks
    • Software-Defined Networks and 5G
    • Age of Information Optimization
    • UAV Applications and Optimization
    • Satellite Communication Systems

Papers in

Peng Yang

126 papers receiving 3.9k citations

Hit Papers

Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in SAGIN 2020 · 249 citations
2492017202620202023100200300

Peers

Peng Yang
Comparison fields: 5 of 85
  • Computer Networks and Communications 2.7k
  • Aerospace Engineering 770
  • Electrical and Electronic Engineering 1.6k
  • Computer Vision and Pattern Recognition 560
  • Computer Science Applications 142
Replace Hongzhi Guo with:
Hongzhi Guo China
Haipeng Dai China
Wen Wu China
Ying Chen China
Abderrahim Benslimane France
Qianbin Chen China
Wen Sun China
Feng Lyu China
Amir Taherkordi Norway
Hiroki Nishiyama Japan
Peng Yang relative to Hongzhi Guo China Hongzhi Guo's profile →
Citations per field
00.5×
Hongzhi Guo · 1×
Citations per year

Countries citing papers authored by Peng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Peng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20253
3 20245
4 20242
5 202310
6 20227
7 202249
8 20228
9 202224
10 202156
11 202113
12 202029
13 202013
14 20209
15 2020116
16 202088
17 201953
18 201917
19 201916
20 2018163

About Peng Yang

Peng Yang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Computer Science Applications, Signal Processing and Transportation, having authored 136 papers that have together received 3.9k indexed citations. Recurring topics across this work include Caching and Content Delivery (25 papers), Software-Defined Networks and 5G (19 papers), Image and Video Quality Assessment (19 papers), Opportunistic and Delay-Tolerant Networks (18 papers), Cooperative Communication and Network Coding (16 papers), Advanced MIMO Systems Optimization (15 papers), IoT and Edge/Fog Computing (12 papers) and Network Traffic and Congestion Control (12 papers). The work is most often cited by research in Computer Networks and Communications (2.7k citations), Aerospace Engineering (770 citations), Electrical and Electronic Engineering (1.6k citations), Computer Vision and Pattern Recognition (560 citations) and Computer Science Applications (142 citations). Peng Yang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xuemin Shen, Ning Zhang, Shan Zhang, Feng Lyu, Wen Wu, Li Yu, Weihua Zhuang, Ju Ren, Nan Cheng and Conghao Zhou. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Industrial Informatics.

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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