Linning Peng

2.5k citations
76 papers · 1.8k · h-index 20

Impact in

Papers in

Linning Peng

70 papers receiving 1.8k citations

Peers

Linning Peng
Comparison fields: 5 of 58
  • Signal Processing 458
  • Artificial Intelligence 1.3k
  • Computer Vision and Pattern Recognition 442
  • Electrical and Electronic Engineering 958
  • Aerospace Engineering 384
Replace Kunal Sankhe with:
Kunal Sankhe United States
N. Serinken Canada
O. Üreten Canada
Tugba Erpek United States
Jean‐Yves Chouinard Canada
Alan J. Michaels United States
Sebastian Cammerer Germany
Tianqi Wang China
Qiao Tian China
Debayan Das United States
Linning Peng relative to Kunal Sankhe United States Kunal Sankhe's profile →
Citations per field
00.5×6.8×
Kunal Sankhe · 1×
Citations per year

Countries citing papers authored by Linning Peng

Since Specialization
Citations

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

Fields of papers citing papers by Linning Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019234
2 2018223
3 2019194
4 2021192
5 2021106
6 2018101
7 201866
8 201849
9 202147
10 202141
11 201938
12 202238
13 202330
14 202030
15 201327
16 201625
17 201922
18 202322
19 202320
20 201919

About Linning Peng

Linning Peng is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (50 papers), Wireless Communication Security Techniques (23 papers), Full-Duplex Wireless Communications (15 papers), Advanced Photonic Communication Systems (13 papers), Biometric Identification and Security (12 papers), Digital Media Forensic Detection (11 papers), Chaos-based Image/Signal Encryption (11 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). The work is most often cited by research in Signal Processing (458 citations), Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (442 citations), Electrical and Electronic Engineering (958 citations) and Aerospace Engineering (384 citations). Linning Peng has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Aiqun Hu, Junqing Zhang, Guyue Li, Jiabao Yu, Xianbin Wang, Guanxiong Shen, Alan Marshall, Ming Liu, Yu Jiang and Hua Fu. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, EURASIP Journal on Wireless Communications and Networking, IEEE Communications Letters and IEEE Transactions on Information Forensics and Security.

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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