Ning Ning

1.1k citations
95 papers · 752 · h-index 16

Impact in

Papers in

    • CCD and CMOS Imaging Sensors 36
    • Advancements in PLL and VCO Technologies 21
    • Advancements in Semiconductor Devices and Circuit Design 17
    • Radio Frequency Integrated Circuit Design 14
    • Advanced Memory and Neural Computing 11
    • Low-power high-performance VLSI design 9
    • Analog and Mixed-Signal Circuit Design 61

Ning Ning

84 papers receiving 731 citations

Peers

Ning Ning
Comparison fields: 5 of 87
  • Electrical and Electronic Engineering 497
  • Biomedical Engineering 371
  • Cognitive Neuroscience 121
  • Geochemistry and Petrology 30
  • Bioengineering 26
Replace Wan Kim with:
Wan Kim South Korea
Lee Yoot Khuan Malaysia
Vega Pradana Rachim South Korea
Riccardo Pernice Italy
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Mohamed Atef Egypt
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Citations per field
00.5×3.2×
Wan Kim · 1×
Citations per year

Countries citing papers authored by Ning Ning

Since Specialization
Citations

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

Fields of papers citing papers by Ning Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200975
2 202270
3 201440
4 202033
5 202033
6 202029
7 202226
8 202022
9 202021
10 202221
11 201920
12 202020
13 201920
14 201819
15 202116
16 201315
17 202014
18 201814
19 202211
20 20179

About Ning Ning

Ning Ning is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computer Networks and Communications, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 95 papers that have together received 752 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (61 papers), CCD and CMOS Imaging Sensors (36 papers), Advancements in PLL and VCO Technologies (21 papers), Advancements in Semiconductor Devices and Circuit Design (17 papers), Radio Frequency Integrated Circuit Design (14 papers), Advanced Memory and Neural Computing (11 papers), Low-power high-performance VLSI design (9 papers) and Sensor Technology and Measurement Systems (8 papers). The work is most often cited by research in Electrical and Electronic Engineering (497 citations), Biomedical Engineering (371 citations), Cognitive Neuroscience (121 citations), Geochemistry and Petrology (30 citations) and Bioengineering (26 citations). Ning Ning has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Qi Yu, Jing Li, Zhong Zhang, Kejun Wu, Yang Liu, Qihui Zhang, Xinyue Zhao, Jin-yan Yang, Guosheng Ding and Danling Peng. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Access, Neurocomputing and IEEE Transactions on Biomedical Circuits and Systems.

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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