Ning Dong

1.2k total citations
41 papers, 1.0k citations indexed

About

Ning Dong is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Ning Dong has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 12 papers in Materials Chemistry and 10 papers in Computational Theory and Mathematics. Recurrent topics in Ning Dong's work include Luminescence Properties of Advanced Materials (9 papers), Model Reduction and Neural Networks (8 papers) and Matrix Theory and Algorithms (7 papers). Ning Dong is often cited by papers focused on Luminescence Properties of Advanced Materials (9 papers), Model Reduction and Neural Networks (8 papers) and Matrix Theory and Algorithms (7 papers). Ning Dong collaborates with scholars based in China, United States and Russia. Ning Dong's co-authors include Min Yin, Weiping Zhang, Jaijeet Roychowdhury, Hai Guo, Li Li, Shangda Xia, Xianwei Fu, Song Lv, Qilong Wang and Deliang Cui and has published in prestigious journals such as Nano Letters, The Journal of Physical Chemistry B and Automatica.

In The Last Decade

Ning Dong

36 papers receiving 1.0k citations

Peers

Ning Dong
Comparison fields: 5 of 78
  • Materials Chemistry 699
  • Electrical and Electronic Engineering 589
  • Ceramics and Composites 155
  • Statistical and Nonlinear Physics 132
  • Radiation 105
Replace В. В. Федоренко with:
В. В. Федоренко Russia
Chih-Min Lin Taiwan
Kui Yang China
De‐Long Zhang China
Valentin I. Vlad Romania
Hiroshi Akiba Japan
Weile Jia United States
Hsin‐Chu Chen Taiwan
Minh Phạm United States
В. В. Федоренко Russia View profile →
Citations per field, relative to Ning Dong
Ning Dong · 1×
Citations per year, relative to Ning Dong
Ning Dong · 1×

Countries citing papers authored by Ning Dong

Since Specialization
Citations

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

Fields of papers citing papers by Ning Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Dong. A scholar is included among the top collaborators of Ning Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ning Dong. Ning Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 1
5 76
6 40
7 19
8 0
9 3
10 2
11 1
12 11
13 56
14 4
15 19
16 5
17 20
18 10
19 91
20 20

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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