Jun‐Hong Cui

10.6k total citations · 1 hit paper
215 papers, 6.6k citations indexed

About

Jun‐Hong Cui is a scholar working on Ocean Engineering, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Jun‐Hong Cui has authored 215 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Ocean Engineering, 150 papers in Computer Networks and Communications and 138 papers in Electrical and Electronic Engineering. Recurrent topics in Jun‐Hong Cui's work include Underwater Vehicles and Communication Systems (169 papers), Energy Efficient Wireless Sensor Networks (93 papers) and Energy Harvesting in Wireless Networks (69 papers). Jun‐Hong Cui is often cited by papers focused on Underwater Vehicles and Communication Systems (169 papers), Energy Efficient Wireless Sensor Networks (93 papers) and Energy Harvesting in Wireless Networks (69 papers). Jun‐Hong Cui collaborates with scholars based in United States, China and Italy. Jun‐Hong Cui's co-authors include Shengli Zhou, Zhong Zhou, Zheng Peng, Mário Gerla, Peng Xie, Zhijie Shi, Jiejun Kong, Jun Liu, Michael Zuba and Shuguang Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Jun‐Hong Cui

208 papers receiving 6.3k citations

Hit Papers

The challenges of building scalable mobile underwater wir... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers

Jun‐Hong Cui
Comparison fields: 5 of 87
  • Ocean Engineering 5.0k
  • Computer Networks and Communications 4.4k
  • Electrical and Electronic Engineering 4.3k
  • Water Science and Technology 887
  • Oceanography 782
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Luiz F. M. Vieira Brazil View profile →
Citations per field, relative to Jun‐Hong Cui
Jun‐Hong Cui · 1×
Citations per year, relative to Jun‐Hong Cui
Jun‐Hong Cui · 1×

Countries citing papers authored by Jun‐Hong Cui

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Hong Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Hong Cui. 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 Jun‐Hong Cui. The network helps show where Jun‐Hong Cui may publish in the future.

Co-authorship network of co-authors of Jun‐Hong Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Hong Cui. A scholar is included among the top collaborators of Jun‐Hong Cui 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 Jun‐Hong Cui. Jun‐Hong Cui 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
# Work Indexed citations
1 1
2 0
3 4
4 11
5 3
6 1
7 0
8 9
9 1
10 1
11 1
12 0
13 29
14
An advanced channel framework for improved Underwater Acoustic Network simulations
14
15
Long Island Sound testbed and experiments
16
16
Study of class-D power amplifiers for underwater acoustic OFDM transmissions
4
17 240
18 112
19 121
20 5

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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