Le Dong
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
-
- Advanced Materials and Mechanics 7
- Cellular and Composite Structures 3
-
- Advanced Sensor and Energy Harvesting Materials 5
- Soft Robotics and Applications 4
- Co-authors
- Dong Wang (10 shared papers)Guoying Gu (5 shared papers)Jinqiang Wang (5 shared papers)Jiang Zou (2 shared papers)Xinlei Li (1 shared paper)Changlin Liu (3 shared papers)Chuanxiao Xie (3 shared papers)Stefan Wiemann (1 shared paper)
- Journals
- Physical Review Applied (2 papers)Nature Communications (1 paper)Advanced Science (1 paper)Additive manufacturing (1 paper)ACS Omega (1 paper)
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
Le Dong
19 papers receiving 671 citations
Peers
Comparison fields: 5 of 90
- Behavioral Neuroscience 69
- Biological Psychiatry 22
- Mechanical Engineering 194
- Biomedical Engineering 209
- Automotive Engineering 52
Countries citing papers authored by Le Dong
This map shows the geographic impact of Le Dong'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 Le Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Dong more than expected).
Fields of papers citing papers by Le Dong
This network shows the impact of papers produced by Le Dong. 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 Le Dong. The network helps show where Le Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 144 | |
| 2 | 2023 | 68 | |
| 3 | 2021 | 66 | |
| 4 | 2022 | 62 | |
| 5 | 2023 | 52 | |
| 6 | 2016 | 40 | |
| 7 | 2019 | 39 | |
| 8 | 2020 | 36 | |
| 9 | 2018 | 27 | |
| 10 | 2020 | 24 | |
| 11 | 2024 | 22 | |
| 12 | 2022 | 22 | |
| 13 | 2022 | 19 | |
| 14 | 2023 | 17 | |
| 15 | 2022 | 15 | |
| 16 | 2023 | 11 | |
| 17 | 2021 | 8 | |
| 18 | 2018 | 5 | |
| 19 | 2024 | 1 |
About Le Dong
Le Dong is a scholar working on Mechanical Engineering, Biomedical Engineering, Molecular Biology, Condensed Matter Physics and Polymers and Plastics, having authored 19 papers that have together received 678 indexed citations. Recurring topics across this work include Advanced Materials and Mechanics (7 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Soft Robotics and Applications (4 papers), Cellular and Composite Structures (3 papers), Micro and Nano Robotics (3 papers), Nanomaterials for catalytic reactions (2 papers), Plant Molecular Biology Research (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Behavioral Neuroscience (69 citations), Biological Psychiatry (22 citations), Mechanical Engineering (194 citations), Biomedical Engineering (209 citations) and Automotive Engineering (52 citations). Le Dong has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Dong Wang, Guoying Gu, Jinqiang Wang, Jiang Zou, Xinlei Li, Changlin Liu, Chuanxiao Xie, Stefan Wiemann, Rainer Spanagel and Michael Soyka. Their work appears in journals such as Physical Review Applied, Nature Communications, Advanced Science, Additive manufacturing and ACS Omega.
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.