Malong Ke

761 citations
10 papers · 514 · 1 hit paper · h-index 6

Impact in

Papers in

Malong Ke

10 papers receiving 507 citations

Malong Ke's Hit Papers

Compressive Sensing-Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO 2020 · 292 citations
2920+2+4Years since publication50100150200250

Peers

Malong Ke
Comparison fields: 5 of 44
  • Computer Networks and Communications 171
  • Electrical and Electronic Engineering 421
  • Aerospace Engineering 106
  • Computational Mechanics 78
  • Signal Processing 22
Replace Serhat Erküçük with:
Serhat Erküçük Türkiye
Sau-Hsuan Wu Taiwan
Ebrahim Saberinia United States
Carles Navarro Manchón Denmark
Ping-Heng Kuo Taiwan
Yun Rui China
Jiang Xue United Kingdom
Sanjeewa Herath Canada
Malong Ke relative to Serhat Erküçük Türkiye Serhat Erküçük's profile →
Citations per field
00.5×6.0×
Serhat Erküçük · 1×
Citations per year

Countries citing papers authored by Malong Ke

Since Specialization
Citations

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

Fields of papers citing papers by Malong Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Malong Ke, 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 Malong Ke Line = papers co-authored together Malong Ke links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Compressive Sensing-Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO
Hit paper breakdown →
2020292
2 2020112
3 202343
4 202132
5 202318
6 20225
7 20224
8 20224
9 20233
10 20221

About Malong Ke

Malong Ke is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Ocean Engineering and Signal Processing, having authored 10 papers that have together received 514 indexed citations. Recurring topics across this work include Advanced Wireless Communication Technologies (5 papers), Indoor and Outdoor Localization Technologies (5 papers), Advanced MIMO Systems Optimization (4 papers), IoT Networks and Protocols (3 papers), Antenna Design and Optimization (1 paper), Opportunistic and Delay-Tolerant Networks (1 paper), Cooperative Communication and Network Coding (1 paper) and Underwater Vehicles and Communication Systems (1 paper). The work is most often cited by research in Computer Networks and Communications (171 citations), Electrical and Electronic Engineering (421 citations), Aerospace Engineering (106 citations), Computational Mechanics (78 citations) and Signal Processing (22 citations). Malong Ke has collaborated with scholars based in China, Australia and Saudi Arabia. Frequent co-authors include Zhen Gao, Yongpeng Wu, Xiqi Gao, Robert Schober, Kai‐Kit Wong, Derrick Wing Kwan Ng, H. Vincent Poor, Li Qiao, Sheng Chen and Jun Zhang. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal, IEEE Wireless Communications, China Communications and IEEE Transactions on Signal Processing.

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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