Long Cheng

530 citations
46 papers · 375 · h-index 14

Impact in

Papers in

Long Cheng

41 papers receiving 357 citations

Peers

Long Cheng
Comparison fields: 5 of 64
  • Computational Mathematics 5
  • Computer Networks and Communications 117
  • Signal Processing 30
  • Electrical and Electronic Engineering 148
  • Hardware and Architecture 17
Replace Jinyang Huang with:
Jinyang Huang China
Thomas Winkler Germany
Shaoqing Xu China
Asisa Kumar Panigrahy India
Jun Rim Choi South Korea
Kaifei Chen China
Lukáš Vojtěch Czechia
Yu Ling China
Long Cheng relative to Jinyang Huang China Jinyang Huang's profile →
Citations per field
00.5×10×13×
Jinyang Huang · 1×
Citations per year

Countries citing papers authored by Long Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Long Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200636
2 201927
3 201725
4 200924
5 201922
6 201922
7 201420
8 201619
9
Twine: A Unified Cluster Management System for Shared Infrastructure
202019
10 201419
11 201518
12 202113
13 201713
14 202213
15 201411
16 20118
17 20188
18 20106
19 20225
20 20225

About Long Cheng

Long Cheng is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Biomedical Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 46 papers that have together received 375 indexed citations. Recurring topics across this work include Millimeter-Wave Propagation and Modeling (8 papers), Analog and Mixed-Signal Circuit Design (6 papers), Advanced MIMO Systems Optimization (6 papers), Sensor Technology and Measurement Systems (5 papers), Advancements in PLL and VCO Technologies (5 papers), Microwave Engineering and Waveguides (4 papers), Advanced Wireless Communication Techniques (4 papers) and Antenna Design and Analysis (3 papers). The work is most often cited by research in Computational Mathematics (5 citations), Computer Networks and Communications (117 citations), Signal Processing (30 citations), Electrical and Electronic Engineering (148 citations) and Hardware and Architecture (17 citations). Long Cheng has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Shaoqian Li, Junyan Ren, Dinil Mon Divakaran, Vrizlynn L. L. Thing, Zhipeng Xie, Fan Ye, Zedong Hu, Min Wang, Chenguang Yang and Haifeng Yang. Their work appears in journals such as Journal of Communications and Information Networks, IEEE Access, IEEE Transactions on Information Forensics and Security, IEEE Wireless Communications Letters and IEEE Transactions on Vehicular Technology.

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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