Haibin Su
Impact in
- Materials Chemistry top 0.5%
- Graphene research and applications
- 2D Materials and Applications
- MXene and MAX Phase Materials
- Acoustics and Ultrasonics top 2%
Papers in
-
- Graphene research and applications 37
- Quantum Dots Synthesis And Properties 14
- Co-authors
- Xi ZhuFeng ZhouSiew Hwa ChanA. H. Castro NetoAleksandr RodinAlexandra CarvalhoMin WangQunxiang Li
In The Last Decade
Haibin Su
299 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Materials Chemistry 5.8k
- Acoustics and Ultrasonics 101
- Renewable Energy, Sustainability and the Environment 1.8k
- Catalysis 764
- Process Chemistry and Technology 313
Countries citing papers authored by Haibin Su
This map shows the geographic impact of Haibin Su'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 Haibin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haibin Su more than expected).
Fields of papers citing papers by Haibin Su
This network shows the impact of papers produced by Haibin Su. 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 Haibin Su. The network helps show where Haibin Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Haibin Su, 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 | 2025 | 0 | |
| 3 | 2025 | 14 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 13 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 2 | |
| 10 | 2019 | 81 | |
| 11 | 2018 | 5 | |
| 12 | 2017 | 10 | |
| 13 | 2016 | 17 | |
| 14 | 2014 | 15 | |
| 15 | 2014 | 11 | |
| 16 | Analysis and local application research on propagation prediction method for analogue FM broadcasting | 2013 | 1 |
| 17 | 2012 | 101 | |
| 18 | Nonviral Delivery of the Rat PDX1 Gene to Rat Liver For the In Vivo Transdifferentiation of Liver Cells to Pancreatic Beta-Cells | 2010 | 4 |
| 19 | 2008 | 15 | |
| 20 | Integrated Map Matching Algorithm Based on Fuzzy Logic | 2006 | 1 |
About Haibin Su
Haibin Su is a scholar working on Acoustics and Ultrasonics, Materials Chemistry, Condensed Matter Physics, Electrical and Electronic Engineering and Hepatology, having authored 314 papers that have together received 11.5k indexed citations. Recurring topics across this work include Graphene research and applications (37 papers), Molecular Junctions and Nanostructures (21 papers), Perovskite Materials and Applications (16 papers), Electrocatalysts for Energy Conversion (16 papers), Conducting polymers and applications (15 papers), Supramolecular Self-Assembly in Materials (15 papers), Quantum Dots Synthesis And Properties (14 papers) and Physics of Superconductivity and Magnetism (14 papers). The work is most often cited by research in Materials Chemistry (5.8k citations), Acoustics and Ultrasonics (101 citations), Renewable Energy, Sustainability and the Environment (1.8k citations), Catalysis (764 citations) and Process Chemistry and Technology (313 citations). Haibin Su has collaborated with scholars based in Singapore, China and Hong Kong. Frequent co-authors include Xi Zhu, Feng Zhou, Siew Hwa Chan, A. H. Castro Neto, Aleksandr Rodin, Alexandra Carvalho, Min Wang, Qunxiang Li, Qiang Sun and Jinlong Yang. Their work appears in journals such as Physical Review B, Scientific Reports, Applied Physics Letters, The Journal of Physical Chemistry C and Nature Communications.
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.