Minman Tong

4.4k total citations · 1 hit paper
57 papers, 3.8k citations indexed

About

Minman Tong is a scholar working on Materials Chemistry, Inorganic Chemistry and Mechanical Engineering. According to data from OpenAlex, Minman Tong has authored 57 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Materials Chemistry, 39 papers in Inorganic Chemistry and 17 papers in Mechanical Engineering. Recurrent topics in Minman Tong's work include Metal-Organic Frameworks: Synthesis and Applications (38 papers), Covalent Organic Framework Applications (29 papers) and Membrane Separation and Gas Transport (10 papers). Minman Tong is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (38 papers), Covalent Organic Framework Applications (29 papers) and Membrane Separation and Gas Transport (10 papers). Minman Tong collaborates with scholars based in China, United States and South Korea. Minman Tong's co-authors include Chongli Zhong, Qingyuan Yang, Dahuan Liu, Youshi Lan, Hongliang Huang, Yunpan Ying, Zhouyang Long, Guojian Chen, Yadong Zhang and Sung Hwa Jhung and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Minman Tong

57 papers receiving 3.8k citations

Hit Papers

Ultrathin Two-Dimensional Membranes Assembled by Ionic Co... 2020 2026 2022 2024 2020 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
Minman Tong China 31 2.5k 2.4k 1.0k 648 579 57 3.8k
Dingxuan Ma China 32 2.8k 1.1× 3.0k 1.2× 564 0.5× 618 1.0× 221 0.4× 47 4.1k
Shing Bo Peh Singapore 36 3.0k 1.2× 2.9k 1.2× 1.6k 1.5× 586 0.9× 682 1.2× 60 4.4k
Somboon Chaemchuen China 34 1.7k 0.7× 2.0k 0.8× 908 0.9× 1.3k 2.0× 236 0.4× 127 4.2k
Xiaofei Jing China 31 4.1k 1.6× 3.4k 1.4× 1.8k 1.7× 775 1.2× 256 0.4× 63 5.0k
Yinyong Sun China 38 2.7k 1.1× 2.2k 0.9× 1.5k 1.4× 400 0.6× 481 0.8× 87 4.1k
Zhaoqiang Zhang China 38 3.0k 1.2× 3.1k 1.3× 1.4k 1.3× 395 0.6× 155 0.3× 93 4.5k
Yujie Ban China 26 2.9k 1.1× 2.9k 1.2× 2.6k 2.5× 412 0.6× 1.0k 1.7× 52 4.8k
Hye-Young Cho South Korea 7 1.4k 0.5× 1.8k 0.8× 573 0.6× 476 0.7× 172 0.3× 24 2.5k
Ganggang Chang China 30 2.2k 0.9× 1.9k 0.8× 775 0.7× 831 1.3× 99 0.2× 86 3.4k
Khalid Albahily Saudi Arabia 29 2.5k 1.0× 1.3k 0.5× 1.0k 1.0× 1.7k 2.6× 197 0.3× 48 4.7k

Countries citing papers authored by Minman Tong

Since Specialization
Citations

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

Fields of papers citing papers by Minman Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minman Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Minman Tong. A scholar is included among the top collaborators of Minman Tong 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 Minman Tong. Minman Tong 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.
Tu, Xuemin, et al.. (2025). Interpretable machine learning on C3H6 and C3H8 diffusion in covalent organic frameworks: Incorporating the effects of framework flexibility. Chemical Engineering Science. 310. 121520–121520. 1 indexed citations
2.
Chen, Min, et al.. (2025). Design of a multifunctional gradient double coating layer for a stable thin zinc anode with high depth of discharge. Journal of Materials Chemistry A. 13(14). 9651–9659. 1 indexed citations
3.
Tong, Minman, et al.. (2025). Synergistic Binding Sites in a Robust and Scalable Metal–Organic Framework for Record CH 4 Capture. Small. 21(10). e2412121–e2412121. 5 indexed citations
4.
Sun, Chuang, et al.. (2024). Long‐Lifespan 522 Wh kg−1 Lithium Metal Pouch Cell Enabled by Compound Additives Engineering. Angewandte Chemie International Edition. 64(5). e202417471–e202417471. 7 indexed citations
5.
Zhou, Fan, Yanling Chen, Zhengqing Zhang, et al.. (2024). The effect of different solvents on the formation of large‐area MOF membranes. AIChE Journal. 70(8). 14 indexed citations
6.
Sun, Chuang, et al.. (2024). Long‐Lifespan 522 Wh kg−1 Lithium Metal Pouch Cell Enabled by Compound Additives Engineering. Angewandte Chemie. 137(5). 1 indexed citations
8.
Yang, Jincai, Minman Tong, Guopeng Han, et al.. (2023). Solubility‐Boosted Molecular Sieving‐Based Separation for Purification of Acetylene in Core–Shell IL@MOF Composites. Advanced Functional Materials. 33(15). 32 indexed citations
9.
Meng, Chaoran, Shan Liu, Xinru Zhang, et al.. (2023). Solvent- and additive-free liquid-phase acceptorless dehydrogenation of benzyl alcohol to benzaldehyde catalyzed by carbon-encapsulating Cu nanoparticles: a combined experimental and theoretical study. Reaction Kinetics Mechanisms and Catalysis. 136(2). 953–962. 1 indexed citations
10.
Sun, Chuang, Daping Qiu, Minman Tong, et al.. (2023). Practicable Zn metal batteries enabled by ultrastable ferromagnetic interface. Science Bulletin. 68(22). 2750–2759. 16 indexed citations
11.
Shi, Ruyu, et al.. (2023). Construction of highly stable LiI/LiBr-based nanocomposite cathode via triple confinement mechanisms for lithium-halogen batteries. Chinese Chemical Letters. 34(11). 108248–108248. 5 indexed citations
13.
Zhang, Yadong, Ke Liu, Lei Wu, et al.. (2021). POSS and imidazolium-constructed ionic porous hypercrosslinked polymers with multiple active sites for synergistic catalytic CO2 transformation. Dalton Transactions. 50(34). 11878–11888. 24 indexed citations
14.
Yan, Yan, Peng Zhang, Zehua Qu, et al.. (2020). Carbon/Sulfur Aerogel with Adequate Mesoporous Channels as Robust Polysulfide Confinement Matrix for Highly Stable Lithium–Sulfur Battery. Nano Letters. 20(10). 7662–7669. 145 indexed citations
15.
Lan, Youshi, Tongan Yan, Minman Tong, & Chongli Zhong. (2019). Large-scale computational assembly of ionic liquid/MOF composites: synergistic effect in the wire-tube conformation for efficient CO2/CH4 separation. Journal of Materials Chemistry A. 7(20). 12556–12564. 69 indexed citations
16.
Lan, Youshi, Xianghao Han, Minman Tong, et al.. (2018). Materials genomics methods for high-throughput construction of COFs and targeted synthesis. Nature Communications. 9(1). 5274–5274. 236 indexed citations
17.
Ying, Yunpan, Dahuan Liu, Jing Ma, et al.. (2016). A GO-assisted method for the preparation of ultrathin covalent organic framework membranes for gas separation. Journal of Materials Chemistry A. 4(35). 13444–13449. 154 indexed citations
18.
Huang, Hongliang, Jian‐Rong Li, Keke Wang, et al.. (2015). An in situ self-assembly template strategy for the preparation of hierarchical-pore metal-organic frameworks. Nature Communications. 6(1). 8847–8847. 353 indexed citations
19.
Tong, Minman, Qingyuan Yang, & Chongli Zhong. (2015). Computational screening of covalent organic frameworks for CH4/H2, CO2/H2 and CO2/CH4 separations. Microporous and Mesoporous Materials. 210. 142–148. 47 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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