Weiming Ji
Impact in
- Mechanical Engineering top 5%
- High Entropy Alloys Studies
- Additive Manufacturing Materials and Processes
- Advanced materials and composites
Papers in
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- High Entropy Alloys Studies 12
- Additive Manufacturing Materials and Processes 6
-
- Carbon Nanotubes in Composites 5
- Co-authors
- Mao See Wu (7 shared papers)Weiwen Li (4 shared papers)Feng Xing (4 shared papers)Huajian Gao (3 shared papers)Runhua Zhou (1 shared paper)Kun Zhou (8 shared papers)Yaocheng Wang (2 shared papers)Asker Jarlöv (7 shared papers)
In The Last Decade
Weiming Ji
43 papers receiving 1.2k citations
Weiming Ji's Hit Papers
Peers
Comparison fields: 5 of 76
- Nuclear Energy and Engineering 32
- Mechanical Engineering 554
- Pollution 141
- Civil and Structural Engineering 258
- Aerospace Engineering 209
Countries citing papers authored by Weiming Ji
This map shows the geographic impact of Weiming Ji'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 Weiming Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiming Ji more than expected).
Fields of papers citing papers by Weiming Ji
This network shows the impact of papers produced by Weiming Ji. 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 Weiming Ji. The network helps show where Weiming Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiming Ji, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recent progress in gradient-structured metals and alloys Hit paper breakdown → | 2023 | 207 |
| 2 | 2015 | 114 | |
| 3 | 2022 | 90 | |
| 4 | 2015 | 60 | |
| 5 | 2022 | 53 | |
| 6 | 2024 | 52 | |
| 7 | 2022 | 49 | |
| 8 | 2016 | 44 | |
| 9 | 2022 | 41 | |
| 10 | 2020 | 39 | |
| 11 | 2024 | 39 | |
| 12 | 2019 | 38 | |
| 13 | 2017 | 37 | |
| 14 | 2024 | 37 | |
| 15 | 2022 | 30 | |
| 16 | 2019 | 28 | |
| 17 | 2020 | 26 | |
| 18 | 2020 | 22 | |
| 19 | 2024 | 21 | |
| 20 | 2022 | 20 |
About Weiming Ji
Weiming Ji is a scholar working on Mechanical Engineering, Materials Chemistry, Modeling and Simulation, Public Health, Environmental and Occupational Health and Pollution, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include High Entropy Alloys Studies (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), High-Temperature Coating Behaviors (7 papers), Evolution and Genetic Dynamics (7 papers), Additive Manufacturing Materials and Processes (6 papers), Smart Materials for Construction (5 papers), Carbon Nanotubes in Composites (5 papers) and Molecular Sensors and Ion Detection (4 papers). The work is most often cited by research in Nuclear Energy and Engineering (32 citations), Mechanical Engineering (554 citations), Pollution (141 citations), Civil and Structural Engineering (258 citations) and Aerospace Engineering (209 citations). Weiming Ji has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Mao See Wu, Weiwen Li, Feng Xing, Huajian Gao, Runhua Zhou, Kun Zhou, Yaocheng Wang, Asker Jarlöv, Binyang Du and Jingjing Nie. Their work appears in journals such as Advanced Materials, Advances in Difference Equations, Physica A Statistical Mechanics and its Applications, International Journal of Mechanical Sciences and Applied Mathematics Letters.
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.