Haiwei Chang
Impact in
- Mechanical Engineering top 5%
- Additive Manufacturing Materials and Processes
- Aluminum Alloys Composites Properties
- High Entropy Alloys Studies
- Advanced materials and composites
- Surface Treatment and Residual Stress
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- Magnesium Alloys: Properties and Applications
Papers in
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- Additive Manufacturing Materials and Processes 6
- Aluminum Alloys Composites Properties 5
- High Entropy Alloys Studies 4
- Welding Techniques and Residual Stresses 4
- Advanced materials and composites 4
- Surface Treatment and Residual Stress 4
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- Metal Alloys Wear and Properties 4
- Co-authors
- Mingxing Zhang (15 shared papers)Yinong Shi (3 shared papers)P.M. Kelly (3 shared papers)Qiyang Tan (6 shared papers)Yu Yin (5 shared papers)Mark Easton (1 shared paper)Dong Qiu (1 shared paper)John A. Taylor (1 shared paper)
In The Last Decade
Haiwei Chang
17 papers receiving 384 citations
Peers
Comparison fields: 5 of 26
- Mechanical Engineering 353
- Biomaterials 93
- Ecological Modeling 21
- Materials Chemistry 168
- Metals and Alloys 9
Countries citing papers authored by Haiwei Chang
This map shows the geographic impact of Haiwei Chang'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 Haiwei Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiwei Chang more than expected).
Fields of papers citing papers by Haiwei Chang
This network shows the impact of papers produced by Haiwei Chang. 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 Haiwei Chang. The network helps show where Haiwei Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiwei Chang, 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 | 2013 | 71 | |
| 2 | 2012 | 52 | |
| 3 | 2020 | 46 | |
| 4 | 2022 | 42 | |
| 5 | 2023 | 39 | |
| 6 | 2022 | 38 | |
| 7 | 2013 | 26 | |
| 8 | 2022 | 20 | |
| 9 | 2011 | 18 | |
| 10 | 2024 | 15 | |
| 11 | 2015 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 3 | |
| 15 | Surface nanocrystallization and surface alloying of aluminum alloys | 2010 | 3 |
| 16 | 2012 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2009 | 0 |
About Haiwei Chang
Haiwei Chang is a scholar working on Mechanical Engineering, Materials Chemistry, Mechanics of Materials, Biomaterials and Automotive Engineering, having authored 18 papers that have together received 385 indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (6 papers), Metal and Thin Film Mechanics (5 papers), Aluminum Alloys Composites Properties (5 papers), High Entropy Alloys Studies (4 papers), Welding Techniques and Residual Stresses (4 papers), Metal Alloys Wear and Properties (4 papers), Advanced materials and composites (4 papers) and Surface Treatment and Residual Stress (4 papers). The work is most often cited by research in Mechanical Engineering (353 citations), Biomaterials (93 citations), Ecological Modeling (21 citations), Materials Chemistry (168 citations) and Metals and Alloys (9 citations). Haiwei Chang has collaborated with scholars based in Australia, China and Sweden. Frequent co-authors include Mingxing Zhang, Yinong Shi, P.M. Kelly, Qiyang Tan, Yu Yin, Mark Easton, Dong Qiu, John A. Taylor, Xinhu Tang and B. Hinckley. Their work appears in journals such as Journal of Materials Science, Scripta Materialia, Materials Science and Engineering A, Journal of Magnesium and Alloys and Journal of Material Science and Technology.
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.