Ning Feng

3.0k total citations · 1 hit paper
16 papers, 2.0k citations indexed

About

Ning Feng is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Ning Feng has authored 16 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Electrical and Electronic Engineering and 3 papers in Aerospace Engineering. Recurrent topics in Ning Feng's work include IoT-based Smart Home Systems (2 papers), Reconstructive Facial Surgery Techniques (2 papers) and Advanced SAR Imaging Techniques (2 papers). Ning Feng is often cited by papers focused on IoT-based Smart Home Systems (2 papers), Reconstructive Facial Surgery Techniques (2 papers) and Advanced SAR Imaging Techniques (2 papers). Ning Feng collaborates with scholars based in China, Macao and United States. Ning Feng's co-authors include Youfang Lin, Huaiyu Wan, Chao Song, Shengnan Guo, Jun Yang, Deyu Wang, Kai Wu, Yao Zhang, Yang Liu and Jinmei Xu and has published in prestigious journals such as Journal of Power Sources, IEEE Access and Frontiers in Psychology.

In The Last Decade

Ning Feng

15 papers receiving 2.0k citations

Hit Papers

Attention Based Spatial-Temporal Graph Convolutional Netw... 2019 2026 2021 2023 2019 500 1000 1.5k

Peers

Ning Feng
Comparison fields: 5 of 105
  • Building and Construction 1.4k
  • Transportation 953
  • Control and Systems Engineering 559
  • Signal Processing 357
  • Artificial Intelligence 340
Replace Dekang Qi with:
Dekang Qi China
Chao Song China
Xingming Wu China
Linchao Li China
Zhaocheng He China
Jihui Ma China
Jianmin Xu China
Lingqiao Qin United States
Yuankai Wu China
Yan Tian China
Dekang Qi China View profile →
Citations per field, relative to Ning Feng
Ning Feng · 1×
Citations per year, relative to Ning Feng
Ning Feng · 1×

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-authorship network of co-authors of Ning Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Feng. A scholar is included among the top collaborators of Ning Feng 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 Feng. Ning Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 4
2 23
3 1
4 0
5 20
6 13
7 1
8 12
9 2
10
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting breakdown →
1768
11 1
12 25
13 2
14 16
15 119
16 2

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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