Ning Feng

1.3k citations
71 papers · 878 · h-index 15

Impact in

Papers in

    • Nanocluster Synthesis and Applications 14
    • Carbon and Quantum Dots Applications 10
    • Luminescence and Fluorescent Materials 9
    • Ferroelectric and Negative Capacitance Devices 10
    • Semiconductor materials and devices 7
    • Advanced Memory and Neural Computing 6

Ning Feng

62 papers receiving 863 citations

Peers

Ning Feng
Comparison fields: 5 of 112
  • Materials Chemistry 393
  • Computer Vision and Pattern Recognition 118
  • Media Technology 39
  • Biophysics 25
  • Geochemistry and Petrology 25
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Ning Feng relative to Guoqing Li China Guoqing Li's profile →
Citations per field
00.5×2.8×
Guoqing Li · 1×
Citations per year

Countries citing papers authored by Ning Feng

Since Specialization
Citations

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

Fields of papers citing papers by Ning Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005187
2 202385
3 202381
4 202141
5 202041
6 201940
7 202236
8 202227
9 201822
10 202018
11 201518
12 202317
13 202316
14 201616
15 202214
16 202114
17 202214
18 202112
19 202112
20 202411

About Ning Feng

Ning Feng is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Organic Chemistry, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 878 indexed citations. Recurring topics across this work include Nanocluster Synthesis and Applications (14 papers), Ferroelectric and Negative Capacitance Devices (10 papers), Carbon and Quantum Dots Applications (10 papers), Luminescence and Fluorescent Materials (9 papers), Semiconductor materials and devices (7 papers), Surfactants and Colloidal Systems (6 papers), Advanced Memory and Neural Computing (6 papers) and Gold and Silver Nanoparticles Synthesis and Applications (5 papers). The work is most often cited by research in Materials Chemistry (393 citations), Computer Vision and Pattern Recognition (118 citations), Media Technology (39 citations), Biophysics (25 citations) and Geochemistry and Petrology (25 citations). Ning Feng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongguang Li, Fabio Piano, Paolo Emilio Barbano, Yann LeCun, Léon Bottou, Xia Xin, Jin Zhou, Xiaofeng Sun, Keyang Yin and Yonghong Zhao. Their work appears in journals such as Journal of Molecular Liquids, Small, Advanced Optical Materials, IEEE Electron Device Letters and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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