Ling Cheng

3.4k citations
176 papers · 2.4k · h-index 24

Impact in

Papers in

    • Optical Wireless Communication Technologies 33
    • Power Line Communications and Noise 27
    • Advanced Wireless Communication Techniques 20
    • PAPR reduction in OFDM 18
    • DNA and Biological Computing 19
    • Advanced biosensing and bioanalysis techniques 10

Ling Cheng

165 papers receiving 2.3k citations

Peers

Ling Cheng
Comparison fields: 5 of 163
  • Control and Systems Engineering 510
  • Acoustics and Ultrasonics 18
  • Electrical and Electronic Engineering 979
  • Analytical Chemistry 107
  • Catalysis 76
Replace Quan Quan with:
Quan Quan China
Yuwei Wang China
Mats Andersson Sweden
Wencheng Wang China
Michael A. Henson United States
Hongli Zhang China
Sang-Bum Lee South Korea
Bo Tao China
Juergen Hahn United States
Kil To Chong South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Ling Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ling Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002268
2 2020120
3 2022111
4 202295
5 202281
6 201964
7 202055
8 200652
9 201547
10 201846
11 201145
12 200941
13 201935
14 200834
15 201033
16 201233
17 201833
18 201431
19 200729
20 201129

About Ling Cheng

Ling Cheng is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics, having authored 176 papers that have together received 2.4k indexed citations. Recurring topics across this work include Optical Wireless Communication Technologies (33 papers), Power Line Communications and Noise (27 papers), Advanced Wireless Communication Techniques (20 papers), DNA and Biological Computing (19 papers), PAPR reduction in OFDM (18 papers), Cellular Automata and Applications (16 papers), Advanced biosensing and bioanalysis techniques (10 papers) and Algorithms and Data Compression (9 papers). The work is most often cited by research in Control and Systems Engineering (510 citations), Acoustics and Ultrasonics (18 citations), Electrical and Electronic Engineering (979 citations), Analytical Chemistry (107 citations) and Catalysis (76 citations). Ling Cheng has collaborated with scholars based in South Africa, China and United States. Frequent co-authors include Heng Yue, S. Joe Qin, Manish Misra, Adnan M. Abu‐Mahfouz, Kayode E. Adetunji, H.C. Ferreira, I.W. Hofsajer, Mitchell A. Cox, Fang Yang and Andrew Forbes. Their work appears in journals such as IEEE Access, Journal of Ethnopharmacology, IEEE Internet of Things Journal, IEEE Transactions on Information Theory and Food Chemistry.

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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