Fulong Ma

519 total citations
27 papers, 306 citations indexed

About

Fulong Ma is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Civil and Structural Engineering. According to data from OpenAlex, Fulong Ma has authored 27 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 5 papers in Automotive Engineering and 4 papers in Civil and Structural Engineering. Recurrent topics in Fulong Ma's work include Advanced Neural Network Applications (6 papers), Autonomous Vehicle Technology and Safety (5 papers) and Vehicle License Plate Recognition (3 papers). Fulong Ma is often cited by papers focused on Advanced Neural Network Applications (6 papers), Autonomous Vehicle Technology and Safety (5 papers) and Vehicle License Plate Recognition (3 papers). Fulong Ma collaborates with scholars based in Hong Kong, China and United States. Fulong Ma's co-authors include Ming Liu, Li Wang, Rui Fan, Jianhao Jiao, Yilong Zhu, Mohammud Junaid Bocus, Yumin Wang, Chunshan Liu, Lihai Wang and Jianfeng Sun and has published in prestigious journals such as Journal of the American Chemical Society, IEEE Transactions on Intelligent Transportation Systems and Electronics Letters.

In The Last Decade

Fulong Ma

20 papers receiving 288 citations

Peers

Fulong Ma
Comparison fields: 5 of 58
  • Civil and Structural Engineering 146
  • Computer Vision and Pattern Recognition 71
  • Mechanics of Materials 45
  • Mechanical Engineering 40
  • Artificial Intelligence 30
Replace Xu Liang with:
Xu Liang China
Ling Bai China
Xinnan Fan China
Xiaoli Sun China
Yongzhi Min China
Zichen Liu China
Xinxiang Zhang United States
Reza P. R. Hasanzadeh Iran
Bahareh Behkamal Italy
Xu Liang China View profile →
Citations per field, relative to Fulong Ma
Fulong Ma · 1×
Citations per year, relative to Fulong Ma
Fulong Ma · 1×

Countries citing papers authored by Fulong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Fulong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fulong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Fulong Ma. A scholar is included among the top collaborators of Fulong Ma 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 Fulong Ma. Fulong Ma 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 3
2 3
3 21
4 1
5 0
6 0
7 2
8 0
9 0
10 0
11 2
12 3
13 0
14 0
15 9
16 2
17 6
18 3
19 3
20 44

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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