Qingyong Deng

1.9k citations
52 papers · 1.4k indexed · 1 hit paper · h-index 14
Topics
IoT and Edge/Fog Computing (16 papers)Mobile Crowdsensing and Crowdsourcing (6 papers)Energy Efficient Wireless Sensor Networks (6 papers)

In The Last Decade

Qingyong Deng

46 papers receiving 1.3k citations

Hit Papers

Consortium Blockchain for Secure Energy Trading in Indust...20172026202020232017250500750

Peers

Qingyong Deng
Comparison fields: 5 of 73
  • Information Systems 770
  • Computer Networks and Communications 678
  • Electrical and Electronic Engineering 594
  • Artificial Intelligence 210
  • Control and Systems Engineering 203
Replace Chao Qiu with:
Chao Qiu China
Valentin Cristea Romania
Pengbo Si China
Yulu Wu China
Yinglei Teng China
Mark Nejad United States
Dayong Ye Australia
Helen Tang Canada
Weigang Wu China
Jianli Pan United States
Qingyong Deng relative to Chao Qiu China Chao Qiu's profile →
Citations per field
00.5×3.3×
Chao Qiu · 1×
Citations per year

Countries citing papers authored by Qingyong Deng

Since Specialization
Citations

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

Fields of papers citing papers by Qingyong Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyong Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyong Deng. A scholar is included among the top collaborators of Qingyong Deng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qingyong Deng. Qingyong Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 3
4 4
5 0
6 1
7 1
8 9
9 1
10 5
11 2
12 0
13 1
14 47
15 33
16 27
17 11
18 22
19 27
20
New method for estimating SOC of lithium battery
2

About Qingyong Deng

Qingyong Deng is a scholar working on Computer Networks and Communications, Computer Science Applications and Electrical and Electronic Engineering, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (16 papers), Mobile Crowdsensing and Crowdsourcing (6 papers) and Energy Efficient Wireless Sensor Networks (6 papers). The work is most often cited by research in Information Systems (770 citations), Computer Networks and Communications (678 citations) and Electrical and Electronic Engineering (594 citations). Qingyong Deng has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Zhetao Li, Yan Zhang, Rong Yu, Dongdong Ye, Jiawen Kang, Anfeng Liu, Tingrui Pei, Haolin Liu, Shujuan Tian and Tian Wang. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Communications.

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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