Jun Ding
Impact in
- Earth-Surface Processes top 5%
- Coastal and Marine Dynamics
- Ocean Engineering top 1%
- Wave and Wind Energy Systems
- Ship Hydrodynamics and Maneuverability
Papers in
-
- Wave and Wind Energy Systems 28
- Ship Hydrodynamics and Maneuverability 4
-
- Fluid Dynamics Simulations and Interactions 15
- Fluid Dynamics and Vibration Analysis 4
- Co-authors
- Yousheng Wu (13 shared papers)Haicheng Zhang (12 shared papers)Zhiwei Li (4 shared papers)Xiaozhou Ma (3 shared papers)Chao Tian (5 shared papers)Daolin Xu (9 shared papers)Chao Tian (3 shared papers)Hongjie Ling (2 shared papers)
- Journals
- Ocean Engineering (15 papers)Journal of Hydrodynamics (5 papers)Applied Sciences (3 papers)Marine Structures (3 papers)Mechanical Systems and Signal Processing (2 papers)
- Partner nations
- ChinaUnited KingdomDenmark
In The Last Decade
Jun Ding
53 papers receiving 611 citations
Peers
Comparison fields: 5 of 61
- Earth-Surface Processes 218
- Ocean Engineering 384
- Computational Mechanics 252
- Oceanography 132
- Control and Systems Engineering 95
Countries citing papers authored by Jun Ding
This map shows the geographic impact of Jun 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 Jun Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ding more than expected).
Fields of papers citing papers by Jun Ding
This network shows the impact of papers produced by Jun 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 Jun Ding. The network helps show where Jun Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 49 | |
| 2 | 2018 | 34 | |
| 3 | 2021 | 34 | |
| 4 | 2021 | 33 | |
| 5 | 2018 | 32 | |
| 6 | 2020 | 31 | |
| 7 | 2019 | 31 | |
| 8 | 2016 | 28 | |
| 9 | 2020 | 28 | |
| 10 | 2010 | 23 | |
| 11 | 2018 | 22 | |
| 12 | 2020 | 22 | |
| 13 | 2022 | 21 | |
| 14 | 2019 | 18 | |
| 15 | 2019 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2022 | 15 | |
| 19 | 2017 | 13 | |
| 20 | 2024 | 10 |
About Jun Ding
Jun Ding is a scholar working on Ocean Engineering, Computational Mechanics, Earth-Surface Processes, Oceanography and Control and Systems Engineering, having authored 56 papers that have together received 631 indexed citations. Recurring topics across this work include Wave and Wind Energy Systems (28 papers), Coastal and Marine Dynamics (19 papers), Fluid Dynamics Simulations and Interactions (15 papers), Ocean Waves and Remote Sensing (11 papers), Ship Hydrodynamics and Maneuverability (4 papers), Vibration and Dynamic Analysis (4 papers), Tropical and Extratropical Cyclones Research (4 papers) and Fluid Dynamics and Vibration Analysis (4 papers). The work is most often cited by research in Earth-Surface Processes (218 citations), Ocean Engineering (384 citations), Computational Mechanics (252 citations), Oceanography (132 citations) and Control and Systems Engineering (95 citations). Jun Ding has collaborated with scholars based in China, United Kingdom and Denmark. Frequent co-authors include Yousheng Wu, Haicheng Zhang, Zhiwei Li, Xiaozhou Ma, Chao Tian, Daolin Xu, Chao Tian, Hongjie Ling, Daolin Xu and Xujun Chen. Their work appears in journals such as Ocean Engineering, Journal of Hydrodynamics, Applied Sciences, Marine Structures and Mechanical Systems and Signal Processing.
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.