Mao Su

19 papers receiving 724 citations

Mao Su's Hit Papers

Real-time mass spectrometric characterization of the solid–electrolyte interphase of a lithium-ion battery 2020 · 404 citations
4040+2+4Years since publication100200300400

Peers

Mao Su
Comparison fields: 5 of 64
  • Automotive Engineering 221
  • Metals and Alloys 21
  • Electrical and Electronic Engineering 447
  • Structural Biology 9
  • Materials Chemistry 248
Replace Asena Ayşe Genç with:
Asena Ayşe Genç Türkiye
Hee Jung Chang United States
Xinyu Ma China
Shicheng Yu Germany
Sergey Krachkovskiy Canada
Naoki Matsui Japan
Raymond B. Smith United States
Howie Joress United States
Andrew Leenheer United States
Volodymyr Baran Germany
Mao Su relative to Asena Ayşe Genç Türkiye Asena Ayşe Genç's profile →
Citations per field
00.5×2×3×3.7×
Asena Ayşe Genç · 1×
Citations per year

Countries citing papers authored by Mao Su

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mao Su Line = papers co-authored together Mao Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2020404
2 2018156
3 202355
4 201849
5 200614
6 202013
7 202411
8 20237
9 20255
10
A Blocks Placement Strategy in HDFS
20134
11 20224
12 20223
13 20233
14 20223
15 19872
16 20251
17
Development of application for insects semiochemicals
20071
18 20221
19
New color centers and recombination luminescence of SrFCl:Eu~(2+) crystal
19961
20
CRP Algorithms Based Resource Provisioning Policy for Cloud Computing
20120

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 737 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Advanced Battery Materials and Technologies (2 papers), Cloud Computing and Resource Management (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Boron and Carbon Nanomaterials Research (2 papers), Electrocatalysts for Energy Conversion (2 papers), Electrochemical Analysis and Applications (2 papers) and Inorganic Chemistry and Materials (2 papers). The work is most often cited by research in Automotive Engineering (221 citations), Metals and Alloys (21 citations), Electrical and Electronic Engineering (447 citations), Structural Biology (9 citations) and Materials Chemistry (248 citations). Mao Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yanting Wang, Zihua Zhu, Chongmin Wang, Donald R. Baer, Zhijie Xu, Xuelin Wang, Oleg Borodin, Xiaofei Yu, Yanyan Zhang and Kang Xu. Their work appears in journals such as Nature Communications, Frontiers in Genetics, IEEE Transactions on Plasma Science, Nature Nanotechnology and The Journal of Chemical Physics.

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.

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