Haijun Wu
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
Papers in
-
- Structural Engineering and Vibration Analysis 4
- Structural Response to Dynamic Loads 4
- Structural Load-Bearing Analysis 3
-
- Muscle activation and electromyography studies 7
- Co-authors
- Yijie Shen (5 shared papers)Zhi‐Han Zhu (4 shared papers)Anatoly V. Zayats (1 shared paper)Chunyu Li (1 shared paper)Jin He (1 shared paper)Rui‐Heng Yang (1 shared paper)Zhiyao Tang (1 shared paper)Lei Jiao (1 shared paper)
- Journals
- Thin-Walled Structures (3 papers)Laser & Photonics Review (2 papers)Biomedical Signal Processing and Control (2 papers)Applied Intelligence (1 paper)Rare Metals (1 paper)
- Partner nations
- ChinaUnited KingdomJapan
In The Last Decade
Haijun Wu
28 papers receiving 280 citations
Peers
Comparison fields: 5 of 85
- Ecological Modeling 29
- Acoustics and Ultrasonics 4
- Rehabilitation 21
- Atomic and Molecular Physics, and Optics 78
- Civil and Structural Engineering 36
Countries citing papers authored by Haijun Wu
This map shows the geographic impact of Haijun Wu'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 Haijun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Wu more than expected).
Fields of papers citing papers by Haijun Wu
This network shows the impact of papers produced by Haijun Wu. 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 Haijun Wu. The network helps show where Haijun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haijun Wu, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 78 | |
| 2 | 2017 | 69 | |
| 3 | 2024 | 17 | |
| 4 | 2025 | 17 | |
| 5 | 2023 | 15 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 10 | |
| 8 | 2025 | 10 | |
| 9 | 2019 | 8 | |
| 10 | 2025 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2016 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2016 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 2 |
About Haijun Wu
Haijun Wu is a scholar working on Civil and Structural Engineering, Biomedical Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics and Aerospace Engineering, having authored 34 papers that have together received 297 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (7 papers), High-Velocity Impact and Material Behavior (5 papers), Structural Engineering and Vibration Analysis (4 papers), Combustion and Detonation Processes (4 papers), Structural Response to Dynamic Loads (4 papers), Structural Load-Bearing Analysis (3 papers), Stroke Rehabilitation and Recovery (3 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Ecological Modeling (29 citations), Acoustics and Ultrasonics (4 citations), Rehabilitation (21 citations), Atomic and Molecular Physics, and Optics (78 citations) and Civil and Structural Engineering (36 citations). Haijun Wu has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Yijie Shen, Zhi‐Han Zhu, Anatoly V. Zayats, Chunyu Li, Jin He, Rui‐Heng Yang, Zhiyao Tang, Lei Jiao, Yujing Yan and Yi‐Jian Yao. Their work appears in journals such as Thin-Walled Structures, Laser & Photonics Review, Biomedical Signal Processing and Control, Applied Intelligence and Rare Metals.
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.