Fang Dao

499 citations
16 papers · 290 indexed · 1 hit paper · h-index 7
Topics
Machine Fault Diagnosis Techniques (7 papers)Cavitation Phenomena in Pumps (5 papers)Advanced Algorithms and Applications (4 papers)
Partner nations
China

In The Last Decade

Fang Dao

14 papers receiving 280 citations

Hit Papers

Fault diagnosis of hydro-turbine via the incorporation of...202420262025202450100150

Peers

Fang Dao
Comparison fields: 5 of 54
  • Control and Systems Engineering 170
  • Mechanical Engineering 73
  • Mechanics of Materials 62
  • Electrical and Electronic Engineering 62
  • Ocean Engineering 57
Replace Surya Teja Kandukuri with:
Surya Teja Kandukuri Norway
He Ren China
Donatella Zappalá United Kingdom
Xiange Tian United Kingdom
Xiaoxun Zhu China
Francesco Natili Italy
Shixi Ma China
A. Zaher United Kingdom
Ricardo Menezes Salgado Brazil
Fang Dao relative to Surya Teja Kandukuri Norway Surya Teja Kandukuri's profile →
Citations per field
00.5×7.3×
Surya Teja Kandukuri · 1×
Citations per year

Countries citing papers authored by Fang Dao

Since Specialization
Citations

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

Fields of papers citing papers by Fang Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Dao

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Dao. A scholar is included among the top collaborators of Fang Dao 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 Fang Dao. Fang Dao 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
#WorkIndexed citations
1 0
2 15
3 7
4 10
5 2
6 2
7 1
8
Fault diagnosis of hydro-turbine via the incorporation of bayesian algorithm optimized CNN-LSTM neural networkbreakdown →
158
9 1
10 48
11 3
12 5
13 1
14 0
15 22
16 15

About Fang Dao

Fang Dao is a scholar working on Control and Systems Engineering, Mechanics of Materials and Ocean Engineering, having authored 16 papers that have together received 290 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (7 papers), Cavitation Phenomena in Pumps (5 papers) and Advanced Algorithms and Applications (4 papers). The work is most often cited by research in Control and Systems Engineering (170 citations), Ocean Engineering (57 citations) and Energy Engineering and Power Technology (8 citations). Fang Dao has collaborated with scholars based in China. Frequent co-authors include Yun Zeng, Jing Qian, Xiang Li, Yidong Zou, Weidong Chen, Xiang Li, Yiting Xu, Xiang Li, Naihua Duan and Yun Zeng. Their work appears in journals such as Scientific Reports, IEEE Access and Energy.

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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