Hui Gao

6.6k citations
357 papers · 4.6k indexed · 1 hit paper · h-index 33

Impact in

Papers in

Hui Gao

322 papers receiving 4.4k citations

Hit Papers

Deep reinforcement learning based computation offloading and resource allocation for MEC 2018 · 402 citations
4022018202620202023100200300400

Peers

Hui Gao
Comparison fields: 5 of 146
  • Computer Networks and Communications 1.4k
  • Electrical and Electronic Engineering 2.3k
  • Atomic and Molecular Physics, and Optics 852
  • Aerospace Engineering 672
  • Signal Processing 249
Replace Bill Moran with:
Bill Moran Australia
Asok Ray United States
Wei Liang China
K.F. Man Hong Kong
Govind P. Gupta India
Weisheng Hu China
Julian Cheng Canada
Ingrid Moerman Belgium
Zhong Liu China
Ke Wang China
Hui Gao relative to Bill Moran Australia Bill Moran's profile →
Citations per field
00.5×2.5×
Bill Moran · 1×
Citations per year

Countries citing papers authored by Hui Gao

Since Specialization
Citations

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

Fields of papers citing papers by Hui Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 202513
3 20250
4 202422
5 20246
6 20230
7 20227
8 202215
9 202118
10 20210
11 202114
12 202011
13 202025
14 201924
15
Deep reinforcement learning based computation offloading and resource allocation for MEC
Hit paper breakdown →
2018402
16 20171
17
Application of RQEA-SVR in traffic flow forecasting
20101
18
A Novel Schmitt-PPI Circuit Capable of Resisting Gaussian Noise in Power Supply
20050
19
Design of CMOS Switched Hall Magnetic Sensor
20051
20
Reactions of cooled ions with cold electrons in CRYRING
19961

About Hui Gao

Hui Gao is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 357 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (82 papers), Advanced MIMO Systems Optimization (80 papers), Advanced Wireless Communication Technologies (40 papers), Atomic and Molecular Physics (37 papers), Full-Duplex Wireless Communications (31 papers), Energy Harvesting in Wireless Networks (30 papers), Antenna Design and Analysis (28 papers) and Millimeter-Wave Propagation and Modeling (26 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Electrical and Electronic Engineering (2.3k citations), Atomic and Molecular Physics, and Optics (852 citations), Aerospace Engineering (672 citations) and Signal Processing (249 citations). Hui Gao has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Tiejun Lv, Yueming Lu, Shaoshi Yang, Li Ji, Xueqing Zhang, R. Schuch, D. R. DeWitt, W. Zong, Wenjun Xu and Chau Yuen. Their work appears in journals such as Physical Review A, IEEE Access, IEEE Transactions on Vehicular Technology, IEEE Transactions on Wireless Communications and Journal of Physics B Atomic Molecular and Optical Physics.

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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