Feng Ding

743 citations
21 papers · 650 · h-index 7

Impact in

Papers in

Feng Ding

20 papers receiving 644 citations

Peers

Feng Ding
Comparison fields: 5 of 68
  • Control and Systems Engineering 500
  • Computational Mathematics 5
  • Civil and Structural Engineering 136
  • Numerical Analysis 21
  • Computational Mechanics 75
Replace Ferdinand Svaricek with:
Ferdinand Svaricek Germany
Hossam S. Abbas Germany
Xin Hua Yang United States
Lei Yuan China
Vladimı́r Havlena Czechia
Jilei Zhou China
Mickaël Rodrigues France
Chuangchuang Sun United States
Abdullah Ateş Türkiye
Seyed Alireza Moezi Iran
Feng Ding relative to Ferdinand Svaricek Germany Ferdinand Svaricek's profile →
Citations per field
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Ferdinand Svaricek · 1×
Citations per year

Countries citing papers authored by Feng Ding

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010249
2 2005190
3 2012112
4 201738
5 202422
6 202210
7 20247
8 20083
9 20253
10 20243
11 20112
12 20212
13 20162
14 20081
15 20211
16 20201
17 20191
18 20191
19 20251
20 20241

About Feng Ding

Feng Ding is a scholar working on Control and Systems Engineering, Aerospace Engineering, Mechanical Engineering, Mechanics of Materials and Civil and Structural Engineering, having authored 21 papers that have together received 650 indexed citations. Recurring topics across this work include Control Systems and Identification (10 papers), Fault Detection and Control Systems (5 papers), Advanced Control Systems Optimization (5 papers), Intermetallics and Advanced Alloy Properties (4 papers), High-Temperature Coating Behaviors (4 papers), Metal and Thin Film Mechanics (4 papers), Structural Health Monitoring Techniques (3 papers) and Advanced Adaptive Filtering Techniques (2 papers). The work is most often cited by research in Control and Systems Engineering (500 citations), Computational Mathematics (5 citations), Civil and Structural Engineering (136 citations), Numerical Analysis (21 citations) and Computational Mechanics (75 citations). Feng Ding has collaborated with scholars based in China, Canada and Netherlands. Frequent co-authors include Tongwen Chen, Guangjun Liu, Dongqing Wang, Xiaohu Chen, Dongbo Wei, Pingze Zhang, Xiangfei Wei, Yu Li, Weijun Tian and Biao Sun. Their work appears in journals such as Materials Letters, Metals, Journal of Materials Engineering and Performance, Materials at High Temperatures and IEEE Transactions on Automatic Control.

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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