Dongyang Fu

944 citations
75 papers · 729 · h-index 16

Impact in

Papers in

Dongyang Fu

65 papers receiving 717 citations

Peers

Dongyang Fu
Comparison fields: 5 of 90
  • Computational Mathematics 14
  • Oceanography 182
  • Control and Systems Engineering 240
  • Artificial Intelligence 202
  • Statistical and Nonlinear Physics 72
Replace Jianchao Fan with:
Jianchao Fan China
Mingming Xu China
Kaifeng Bi China
Emanuele Ragnoli Ireland
Xiaoping Sun China
Dmitry Kangin United Kingdom
Ryan N. Smith United States
Feng Pan China
Dongyang Fu relative to Jianchao Fan China Jianchao Fan's profile →
Citations per field
00.5×4.7×
Jianchao Fan · 1×
Citations per year

Countries citing papers authored by Dongyang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Dongyang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020148
2 201952
3 202137
4 202333
5 202030
6 202028
7 202023
8 201821
9 202020
10 201620
11 201919
12 202117
13 201917
14 202016
15 202115
16 201015
17 202114
18 202013
19 201211
20 202010

About Dongyang Fu

Dongyang Fu is a scholar working on Oceanography, Atmospheric Science, Control and Systems Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 75 papers that have together received 729 indexed citations. Recurring topics across this work include Marine and coastal ecosystems (24 papers), Oceanographic and Atmospheric Processes (11 papers), Water Quality Monitoring and Analysis (11 papers), Neural Networks and Applications (9 papers), Remote Sensing and Land Use (7 papers), Robotic Mechanisms and Dynamics (7 papers), Water Quality Monitoring Technologies (6 papers) and Environmental Changes in China (6 papers). The work is most often cited by research in Computational Mathematics (14 citations), Oceanography (182 citations), Control and Systems Engineering (240 citations), Artificial Intelligence (202 citations) and Statistical and Nonlinear Physics (72 citations). Dongyang Fu has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Xiuchun Xiao, Long Jin, Jingkun Yan, Xiujuan Du, Shan Liao, Haoen Huang, Guancheng Wang, Dazhao Liu, Difeng Wang and Jiayong Liu. Their work appears in journals such as Remote Sensing, IEEE Access, Frontiers in Marine Science, Applied Soft Computing and IEEE Transactions on Industrial Informatics.

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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