Sicong Ma

2.9k total citations · 2 hit papers
55 papers, 2.4k citations indexed

About

Sicong Ma is a scholar working on Materials Chemistry, Catalysis and Inorganic Chemistry. According to data from OpenAlex, Sicong Ma has authored 55 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Materials Chemistry, 21 papers in Catalysis and 11 papers in Inorganic Chemistry. Recurrent topics in Sicong Ma's work include Catalytic Processes in Materials Science (22 papers), Catalysis and Oxidation Reactions (15 papers) and Machine Learning in Materials Science (13 papers). Sicong Ma is often cited by papers focused on Catalytic Processes in Materials Science (22 papers), Catalysis and Oxidation Reactions (15 papers) and Machine Learning in Materials Science (13 papers). Sicong Ma collaborates with scholars based in China, United Kingdom and Australia. Sicong Ma's co-authors include Zhi‐Pan Liu, Man Tong, Songhu Yuan, Sida Huang, Yanxin Wang, Deng Liu, Menggui Jin, Yiqun Gan, Xixiang Liu and Dong Cheng and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Sicong Ma

50 papers receiving 2.3k citations

Hit Papers

The role of Cu1–O3 species in ... 2015 2026 2018 2022 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sicong Ma China 23 1.4k 894 726 325 317 55 2.4k
Yuan Fang China 33 1.4k 1.0× 941 1.1× 829 1.1× 535 1.6× 570 1.8× 118 4.0k
Kimberly N. Heck United States 23 1.4k 1.0× 1.6k 1.8× 1.6k 2.2× 257 0.8× 577 1.8× 43 3.4k
Michelle K. Kidder United States 25 935 0.7× 405 0.5× 280 0.4× 237 0.7× 665 2.1× 87 2.4k
S. F. Rebecca Taylor United Kingdom 23 913 0.7× 759 0.8× 588 0.8× 139 0.4× 297 0.9× 47 2.4k
Jiang Li China 30 1.9k 1.3× 2.0k 2.3× 1.2k 1.6× 276 0.8× 341 1.1× 94 3.7k
Hongqun Yang Canada 10 742 0.5× 314 0.4× 398 0.5× 313 1.0× 741 2.3× 12 2.7k
James Tardio Australia 29 1.3k 0.9× 588 0.7× 326 0.4× 472 1.5× 1.1k 3.5× 111 3.0k
Y. Zou Finfrock United States 23 1.2k 0.8× 1.2k 1.3× 2.8k 3.8× 125 0.4× 381 1.2× 52 4.2k
Olga Šolcová Czechia 27 1.5k 1.1× 264 0.3× 1.4k 1.9× 204 0.6× 260 0.8× 119 2.6k
Alex O. Ibhadon United Kingdom 23 1.6k 1.1× 459 0.5× 1.6k 2.2× 199 0.6× 333 1.1× 56 3.0k

Countries citing papers authored by Sicong Ma

Since Specialization
Citations

This map shows the geographic impact of Sicong Ma'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 Sicong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sicong Ma more than expected).

Fields of papers citing papers by Sicong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sicong Ma. 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 Sicong Ma. The network helps show where Sicong Ma may publish in the future.

Co-authorship network of co-authors of Sicong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Sicong Ma. A scholar is included among the top collaborators of Sicong Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sicong Ma. Sicong Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ni, Guanhua, Yingxue Cui, Li Zhao, et al.. (2025). Study on the effect of acidification reaction conditions on the pore structure of coal samples based on 2D NMR T1-T2. Advanced Powder Technology. 36(3). 104792–104792. 4 indexed citations
3.
Ma, Sicong, Cancan Ling, Hao Zhang, et al.. (2025). Direct iron-electron driven autotrophic denitrification for low-carbon nitrate wastewater treatment. Journal of Environmental Sciences. 163. 76–84. 1 indexed citations
4.
Ma, Sicong, Zhi‐Pan Liu, Heyong He, et al.. (2025). Unlocking Methanol Synthesis from CO2 and H2 on ZnO/ZrO2 Catalysts: Surface Hydroxyl-Mediated Activation. ACS Catalysis. 15(8). 6005–6017. 5 indexed citations
6.
Fang, Cong, et al.. (2025). Machine Learning Potential for Copper Hydride Clusters: A Neutron Diffraction-Independent Approach for Locating Hydrogen Positions. Journal of the American Chemical Society. 147(12). 10750–10757. 6 indexed citations
7.
Ma, Sicong, Lin Chen, Zhi‐Pan Liu, et al.. (2025). Bio-based piperidines as liquid organic hydrogen (deuterium) carrier over Pd catalysts. Applied Catalysis B: Environmental. 377. 125504–125504. 1 indexed citations
8.
Lu, Kun, Jun Li, Liyu Chen, et al.. (2025). Origin of Brönsted acidity in germanosilicates from neighboring Ge-hydroxyl groups. CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION). 77. 110–122.
9.
Yang, Chengsheng, Sicong Ma, Yongmei Liu, et al.. (2024). Homolytic H2 dissociation for enhanced hydrogenation catalysis on oxides. Nature Communications. 15(1). 540–540. 50 indexed citations
10.
Yang, Zhengxin, Yunfei Shi, Pei‐Lin Kang, et al.. (2024). LASP to the Future of Atomic Simulation: Intelligence and Automation. SHILAP Revista de lepidopterología. 2(12). 612–627. 14 indexed citations
11.
Ma, Sicong, et al.. (2024). Active sites and reaction mechanisms of COx hydrogenation on zinc-based mixed oxide catalysts. Science China Chemistry. 68(6). 2290–2309. 3 indexed citations
12.
Ma, Sicong, Xiao Kong, Chi Zhang, et al.. (2024). Confined Mn2+ enables effective aerobic oxidation catalysis. Science China Chemistry. 67(5). 1545–1553. 8 indexed citations
13.
Shi, Yunfei, Sicong Ma, & Zhi‐Pan Liu. (2023). Copper-based catalysts for CO2 hydrogenation: a perspective on active sites. EES Catalysis. 1(6). 921–933. 28 indexed citations
14.
Ma, Sicong & Zhi‐Pan Liu. (2022). Zeolite-confined subnanometric PtSn mimicking mortise-and-tenon joinery for catalytic propane dehydrogenation. Nature Communications. 13(1). 2716–2716. 83 indexed citations
15.
Ma, Sicong & Zhi‐Pan Liu. (2022). Machine learning potential era of zeolite simulation. Chemical Science. 13(18). 5055–5068. 37 indexed citations
16.
Ma, Sicong, Xin Chen, Yuanhang Ren, et al.. (2021). Determination of acid structures on the surface of sulfated monoclinic and tetragonal zirconia through experimental and theoretical approaches. Catalysis Science & Technology. 12(2). 596–605. 9 indexed citations
17.
Zhang, Chaoying, et al.. (2021). Research on the Attribute Extraction Algorithm of People and Vehicles Based on Video Structure. Journal of Physics Conference Series. 1802(3). 32081–32081. 1 indexed citations
18.
Xie, Wenjing, Songhu Yuan, Man Tong, et al.. (2020). Contaminant Degradation by •OH during Sediment Oxygenation: Dependence on Fe(II) Species. Environmental Science & Technology. 54(5). 2975–2984. 172 indexed citations
19.
Ma, Sicong, Cheng Shang, Chuanming Wang, & Zhi‐Pan Liu. (2020). Thermodynamic rules for zeolite formation from machine learning based global optimization. Chemical Science. 11(37). 10113–10118. 33 indexed citations
20.
Song, Weiyu, Sicong Ma, Lu Wang, Jian Liu, & Zhen Zhao. (2017). Cover Feature: Theoretical Explanation of the Photogenerated Carrier Separation at the Surface Junction (ChemCatChem 23/2017). ChemCatChem. 9(23). 4302–4302. 2 indexed citations

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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