Hailong Fu
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism 6
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- Quantum and electron transport phenomena 18
- Topological Materials and Phenomena 12
- Materials Chemistry top 10%
- Graphene research and applications 12
- 2D Materials and Applications 4
- Electronic and Structural Properties of Oxides 3
- Biochemistry top 10%
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- Organ Transplantation Techniques and Outcomes 5
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- Liver physiology and pathology 3
- Journals
- Science (2 papers)Proceedings of the National Academy of Sciences (1 paper)Physical Review Letters (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hailong Fu
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 122
- Condensed Matter Physics 280
- Atomic and Molecular Physics, and Optics 480
- Materials Chemistry 496
- Biochemistry 59
- Cancer Research 122
Countries citing papers authored by Hailong Fu
This map shows the geographic impact of Hailong Fu'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 Hailong Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailong Fu more than expected).
Fields of papers citing papers by Hailong Fu
This network shows the impact of papers produced by Hailong Fu. 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 Hailong Fu. The network helps show where Hailong Fu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hailong Fu, 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 | 2025 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 25 | |
| 8 | 2022 | 44 | |
| 9 | 2022 | 104 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 21 | |
| 12 | 2017 | 168 | |
| 13 | 2017 | 28 | |
| 14 | 2017 | 47 | |
| 15 | 2015 | 120 | |
| 16 | 2013 | 4 | |
| 17 | 2012 | 11 | |
| 18 | 2012 | 27 | |
| 19 | The Evaluation of Interpretation System of Park from the National Geological Perspective of Tourists:Take the National Geological Park in Wulong as an Example | 2011 | 1 |
| 20 | 2011 | 80 |
About Hailong Fu
Hailong Fu is a scholar working on Health Informatics, Atomic and Molecular Physics, and Optics and Hepatology, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (18 papers), Graphene research and applications (12 papers), Topological Materials and Phenomena (12 papers), Physics of Superconductivity and Magnetism (6 papers), Organ Transplantation Techniques and Outcomes (5 papers), 2D Materials and Applications (4 papers), Liver physiology and pathology (3 papers) and Electronic and Structural Properties of Oxides (3 papers). The work is most often cited by research in Condensed Matter Physics (280 citations), Atomic and Molecular Physics, and Optics (480 citations) and Materials Chemistry (496 citations). Hailong Fu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xi Lin, Jian Wang, Haiwen Liu, Ying Xing, Hongbin Yuan, Qi‐Kun Xue, Pengjie Wang, Mingyong Miao, Takashi Taniguchi and Kenji Watanabe. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review 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.