Ning Cheng

1.7k citations
111 papers · 1.1k · h-index 15

Impact in

Papers in

    • Speech and Audio Processing 45
    • Music and Audio Processing 42
    • Speech Recognition and Synthesis 50
    • Natural Language Processing Techniques 16
    • Topic Modeling 11

Ning Cheng

98 papers receiving 994 citations

Peers

Ning Cheng
Comparison fields: 5 of 81
  • Signal Processing 319
  • Nuclear and High Energy Physics 255
  • Artificial Intelligence 406
  • Astronomy and Astrophysics 119
  • Acoustics and Ultrasonics 4
Replace Toru Imai with:
Toru Imai Japan
Thomas Martin Canada
Chi Ho Chan United Kingdom
Thomas Fischbacher United Kingdom
Wenming Li China
Tetsuya Yasuda Japan
Lídia del Rio Switzerland
Sebastian J. Wetzel Canada
Pierre Peretto France
Jayne E. Thompson Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Ning Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ning Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997141
2 202392
3 200953
4 202141
5 202239
6 202037
7 201033
8 199731
9 202128
10 202222
11 202219
12 202218
13 202118
14 202516
15 202315
16 202114
17 199814
18 202213
19 202212
20 202112

About Ning Cheng

Ning Cheng is a scholar working on Signal Processing, Artificial Intelligence, Nuclear and High Energy Physics, Computer Vision and Pattern Recognition and Astronomy and Astrophysics, having authored 111 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (50 papers), Speech and Audio Processing (45 papers), Music and Audio Processing (42 papers), Astrophysics and Cosmic Phenomena (18 papers), Natural Language Processing Techniques (16 papers), Dark Matter and Cosmic Phenomena (12 papers), Topic Modeling (11 papers) and Neutrino Physics Research (7 papers). The work is most often cited by research in Signal Processing (319 citations), Nuclear and High Energy Physics (255 citations), Artificial Intelligence (406 citations), Astronomy and Astrophysics (119 citations) and Acoustics and Ultrasonics (4 citations). Ning Cheng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianzong Wang, Jing Zhong Xiao, Xulong Zhang, Guang S. He, Paras N. Prasad, Lixiang Yuan, Jayant D. Bhawalkar, Lawrence L. Brott, Bruce A. Reinhardt and Stephen John Clarson. Their work appears in journals such as The Astrophysical Journal Letters, Physical Review Letters, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Physical review. D and Journal of the Optical Society of America B.

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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