Daquan Feng

5.4k citations
89 papers · 4.0k indexed · 5 hit papers · h-index 24

Daquan Feng

83 papers receiving 3.9k citations

Hit Papers

Kalman-Filter-Based Integration of I...2672012202620162021250500750

Peers

Daquan Feng
Comparison fields: 5 of 88
  • Computer Networks and Communications 2.4k
  • Electrical and Electronic Engineering 3.1k
  • Information Systems 429
  • Aerospace Engineering 431
  • Artificial Intelligence 434
Replace Fabrizio Granelli with:
Fabrizio Granelli Italy
Qimei Cui China
Chuan Heng Foh United Kingdom
Qianbin Chen China
Junjuan Xia China
Tao Han United States
Suzhi Bi China
Haris Pervaiz United Kingdom
Wen Wu China
Xiangming Wen China
Daquan Feng relative to Fabrizio Granelli Italy Fabrizio Granelli's profile →
Citations per field
00.5×1.5×1.8×
Fabrizio Granelli · 1×
Citations per year

Countries citing papers authored by Daquan Feng

Since Specialization
Citations

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

Fields of papers citing papers by Daquan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20240
4 202411
5 20241
6 20240
7 20243
8 202310
9 20234
10 20229
11 202264
12 202264
13 20218
14 202119
15 202124
16 202111
17 202013
18 202014
19 201972
20 201647

About Daquan Feng

Daquan Feng is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 89 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (33 papers), Cooperative Communication and Network Coding (26 papers), Advanced Wireless Network Optimization (15 papers), Privacy-Preserving Technologies in Data (10 papers), Energy Harvesting in Wireless Networks (9 papers), Advanced Wireless Communication Technologies (9 papers), IoT and Edge/Fog Computing (9 papers) and Caching and Content Delivery (8 papers). The work is most often cited by research in Computer Networks and Communications (2.4k citations), Electrical and Electronic Engineering (3.1k citations) and Information Systems (429 citations). Daquan Feng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gang Feng, Shaoqian Li, Yi Yuan-Wu, Geoffrey Ye Li, Lu Lu, Gubong Lim, Leonard J. Cimini, Chenzi Jiang, Xiang‐Gen Xia and Bin Cao. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Access, IEEE Transactions on Wireless Communications 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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