Yanling Ge
Impact in
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- Magnetic and transport properties of perovskites and related materials
- Magnetic Properties and Applications
- Heusler alloys: electronic and magnetic properties
- Magnetic Properties of Alloys
- Materials Chemistry top 5%
- Shape Memory Alloy Transformations
Papers in
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- Shape Memory Alloy Transformations 55
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- High Entropy Alloys Studies 17
- Microstructure and Mechanical Properties of Steels 13
- Advanced materials and composites 10
- Co-authors
- Outi Söderberg (45 shared papers)Simo‐Pekka Hannula (47 shared papers)Oleg Heczko (24 shared papers)V. K. Lindroos (15 shared papers)A. Sozinov (12 shared papers)Ilkka Aaltio (24 shared papers)N. Lanska (7 shared papers)K. Ullakko (8 shared papers)
In The Last Decade
Yanling Ge
111 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 107
- Electronic, Optical and Magnetic Materials 887
- Materials Chemistry 1.5k
- Mechanical Engineering 536
- Paleontology 70
- Metals and Alloys 20
Countries citing papers authored by Yanling Ge
This map shows the geographic impact of Yanling Ge'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 Yanling Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanling Ge more than expected).
Fields of papers citing papers by Yanling Ge
This network shows the impact of papers produced by Yanling Ge. 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 Yanling Ge. The network helps show where Yanling Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanling Ge, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 287 | |
| 2 | 2005 | 118 | |
| 3 | 2004 | 73 | |
| 4 | 2004 | 61 | |
| 5 | 2007 | 60 | |
| 6 | 2008 | 54 | |
| 7 | 2013 | 52 | |
| 8 | 2003 | 48 | |
| 9 | 2009 | 47 | |
| 10 | 2017 | 46 | |
| 11 | 2006 | 46 | |
| 12 | 2010 | 44 | |
| 13 | 2015 | 38 | |
| 14 | 2020 | 38 | |
| 15 | 2007 | 35 | |
| 16 | 2006 | 34 | |
| 17 | 2006 | 33 | |
| 18 | 2020 | 31 | |
| 19 | 2018 | 31 | |
| 20 | 2008 | 29 |
About Yanling Ge
Yanling Ge is a scholar working on Materials Chemistry, Mechanical Engineering, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Aerospace Engineering, having authored 114 papers that have together received 2.0k indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (55 papers), Magnetic Properties and Applications (20 papers), High Entropy Alloys Studies (17 papers), Magnetic and transport properties of perovskites and related materials (13 papers), Microstructure and Mechanical Properties of Steels (13 papers), Advanced materials and composites (10 papers), Magnetic Properties of Alloys (9 papers) and High-Temperature Coating Behaviors (8 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (887 citations), Materials Chemistry (1.5k citations), Mechanical Engineering (536 citations), Paleontology (70 citations) and Metals and Alloys (20 citations). Yanling Ge has collaborated with scholars based in Finland, Czechia and China. Frequent co-authors include Outi Söderberg, Simo‐Pekka Hannula, Oleg Heczko, V. K. Lindroos, A. Sozinov, Ilkka Aaltio, N. Lanska, K. Ullakko, S‐P. Hannula and N. Zárubová. Their work appears in journals such as Materials Science and Engineering A, Scripta Materialia, Smart Materials and Structures, Journal of Alloys and Compounds and Nanomaterials.
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.