Ou Zhao

609 citations
24 papers · 415 indexed · 1 hit paper · h-index 6

Ou Zhao

21 papers receiving 397 citations

Hit Papers

Big Data Analytics, Machine Learning, and Artificial Inte...3292018202620202023100200300

Peers

Ou Zhao
Comparison fields: 5 of 85
  • Computer Networks and Communications 172
  • Health Informatics 6
  • Electrical and Electronic Engineering 229
  • Management Information Systems 25
  • Media Technology 22
Replace Gabriel Porto Villardi with:
Gabriel Porto Villardi Japan
Mirza Golam Kibria Japan
Sujit Bebortta India
Ramesh Sekaran India
Navroop Kaur India
Zohaib Latif China
Nenad Petrović Serbia
Vinicius Facco Rodrigues Brazil
Abhinav Tomar India
Mervat Abu-Elkheir Egypt
Ou Zhao relative to Gabriel Porto Villardi Japan Gabriel Porto Villardi's profile →
Citations per field
00.5×1.5×
Gabriel Porto Villardi · 1×
Citations per year

Countries citing papers authored by Ou Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Ou Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside Ou Zhao, 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 Ou Zhao Line = papers co-authored together Ou Zhao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20232
3 20220
4 20212
5 20203
6 20194
7 20198
8 20194
9
Big Data Analytics, Machine Learning, and Artificial Intelligence in Next-Generation Wireless Networksbreakdown →
2018329
10 20180
11 20184
12 20170
13 20173
14 20172
15 20173
16
A Novel Dynamic Clustering Scheme for Multiuser MIMO-OFDM Transmission in Distributed Antenna Systems
20151
17 20157
18
An Efficient Scheme for Dynamic Clustering in OFDM-Based Multiuser MIMO Distributed Antenna Systems
20141
19 20142
20 20135

About Ou Zhao

Ou Zhao is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering, having authored 24 papers that have together received 415 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (17 papers), Cooperative Communication and Network Coding (15 papers), Energy Harvesting in Wireless Networks (9 papers), Advanced Wireless Network Optimization (5 papers), Advanced Wireless Communication Technologies (4 papers), Full-Duplex Wireless Communications (4 papers), Wireless Communication Networks Research (3 papers) and IoT Networks and Protocols (2 papers). The work is most often cited by research in Computer Networks and Communications (172 citations), Health Informatics (6 citations) and Electrical and Electronic Engineering (229 citations). Ou Zhao has collaborated with scholars based in Japan. Frequent co-authors include Fumihide Kojima, Kentaro Ishizu, Gabriel Porto Villardi, Mirza Golam Kibria, Kien Nguyen, Hidekazu Murata, Susumu Yoshida, Takeshi Matsumura, Hikaru Kawasaki and Huan-Bang Li. Their work appears in journals such as IEEE Access, Wireless Communications and Mobile Computing, Future Internet, IEEE Transactions on Vehicular Technology and IEICE 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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