Mao Su
Impact in
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
Papers in
-
- Machine Learning in Materials Science 6
- Boron and Carbon Nanomaterials Research 2
-
- Spectroscopy and Quantum Chemical Studies 2
- Co-authors
- Yanting Wang (4 shared papers)Chongmin Wang (3 shared papers)Zihua Zhu (3 shared papers)Zhijie Xu (3 shared papers)Donald R. Baer (3 shared papers)Kang Xu (2 shared papers)Jun-Gang Wang (2 shared papers)Yufan Zhou (2 shared papers)
- Journals
- Nature Communications (2 papers)npj Computational Materials (1 paper)Analytical Chemistry (1 paper)Nature Machine Intelligence (1 paper)The Journal of Physical Chemistry C (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Mao Su
18 papers receiving 675 citations
Mao Su's Hit Papers
Peers
Comparison fields: 5 of 71
- Automotive Engineering 214
- Metals and Alloys 20
- Electrical and Electronic Engineering 430
- Structural Biology 8
- Materials Chemistry 234
Countries citing papers authored by Mao Su
This map shows the geographic impact of Mao 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 Mao Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mao Su more than expected).
Fields of papers citing papers by Mao Su
This network shows the impact of papers produced by Mao 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 Mao Su. The network helps show where Mao Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Mao 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Real-time mass spectrometric characterization of the solid–electrolyte interphase of a lithium-ion battery Hit paper breakdown → | 2020 | 386 |
| 2 | 2018 | 146 | |
| 3 | 2023 | 50 | |
| 4 | 2018 | 47 | |
| 5 | 2006 | 14 | |
| 6 | 2020 | 11 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 7 | |
| 9 | 2025 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 3 | |
| 12 | A Blocks Placement Strategy in HDFS | 2013 | 3 |
| 13 | 2023 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 1987 | 2 | |
| 16 | Development of application for insects semiochemicals | 2007 | 1 |
| 17 | 2022 | 1 | |
| 18 | New color centers and recombination luminescence of SrFCl:Eu~(2+) crystal | 1996 | 1 |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Mao Su
Mao Su is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Information Systems and Catalysis, having authored 21 papers that have together received 693 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Boron and Carbon Nanomaterials Research (2 papers), Electrochemical Analysis and Applications (2 papers), Inorganic Chemistry and Materials (2 papers), Cloud Computing and Resource Management (2 papers), Advanced Battery Materials and Technologies (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and Electrocatalysts for Energy Conversion (2 papers). The work is most often cited by research in Automotive Engineering (214 citations), Metals and Alloys (20 citations), Electrical and Electronic Engineering (430 citations), Structural Biology (8 citations) and Materials Chemistry (234 citations). Mao Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yanting Wang, Chongmin Wang, Zihua Zhu, Zhijie Xu, Donald R. Baer, Kang Xu, Jun-Gang Wang, Yufan Zhou, Oleg Borodin and Wu Xu. Their work appears in journals such as Nature Communications, npj Computational Materials, Analytical Chemistry, Nature Machine Intelligence and The Journal of Physical Chemistry C.
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.