Tongan Yan

1.3k total citations
44 papers, 1.0k citations indexed

About

Tongan Yan is a scholar working on Inorganic Chemistry, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Tongan Yan has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Inorganic Chemistry, 25 papers in Materials Chemistry and 18 papers in Mechanical Engineering. Recurrent topics in Tongan Yan's work include Metal-Organic Frameworks: Synthesis and Applications (38 papers), Covalent Organic Framework Applications (21 papers) and Inorganic Fluorides and Related Compounds (12 papers). Tongan Yan is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (38 papers), Covalent Organic Framework Applications (21 papers) and Inorganic Fluorides and Related Compounds (12 papers). Tongan Yan collaborates with scholars based in China, United States and Italy. Tongan Yan's co-authors include Dahuan Liu, Chongli Zhong, Minman Tong, Miao Chang, Youshi Lan, Qingyuan Yang, Kun Jiang, Jie‐Xin Wang, Guang‐Hui Chen and Jian‐Feng Chen and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Chemistry of Materials.

In The Last Decade

Tongan Yan

42 papers receiving 999 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tongan Yan China 20 819 568 427 108 61 44 1.0k
Liangying Li China 15 1.2k 1.5× 944 1.7× 459 1.1× 104 1.0× 57 0.9× 18 1.4k
Min‐Bum Kim South Korea 15 749 0.9× 543 1.0× 386 0.9× 159 1.5× 45 0.7× 26 977
Naveen Kumar Ireland 14 771 0.9× 591 1.0× 405 0.9× 69 0.6× 56 0.9× 34 943
Hasan Can Gülbalkan Türkiye 12 639 0.8× 524 0.9× 312 0.7× 163 1.5× 83 1.4× 22 959
Gokhan Onder Aksu Türkiye 12 515 0.6× 452 0.8× 246 0.6× 125 1.2× 72 1.2× 16 773
Tae-Ung Yoon South Korea 22 1.2k 1.4× 926 1.6× 700 1.6× 115 1.1× 98 1.6× 25 1.5k
Jake Burner Canada 7 682 0.8× 515 0.9× 411 1.0× 71 0.7× 71 1.2× 11 902
Hakan Demir Türkiye 16 556 0.7× 547 1.0× 278 0.7× 144 1.3× 37 0.6× 22 893
Roger K. Mah Canada 7 948 1.2× 657 1.2× 383 0.9× 209 1.9× 77 1.3× 7 1.2k
Houxiao Wu China 24 1.5k 1.9× 1.2k 2.2× 846 2.0× 184 1.7× 90 1.5× 31 1.8k

Countries citing papers authored by Tongan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Tongan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tongan Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Tongan Yan. A scholar is included among the top collaborators of Tongan Yan 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 Tongan Yan. Tongan Yan 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.
Wang, Wenqiang, et al.. (2025). Creating direct interlayer charge transport channels in vinyl-linked 2D covalent organic framework for efficient photocatalytic CO2 reduction. Applied Catalysis B: Environmental. 372. 125299–125299. 13 indexed citations
2.
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
3.
Cheng, Shiqi, Guang Sun, Zhiyuan Zhang, et al.. (2025). Chiral macrocyclic membranes for efficient enantioselective separation. Science China Chemistry. 69(3). 1259–1265. 1 indexed citations
4.
5.
Yang, Zibo, Qingqing Li, Bin Li, et al.. (2025). COF-999: A high-performance CO2 adsorbent for direct air capture technology. SHILAP Revista de lepidopterología. 3(4). 395–397. 1 indexed citations
6.
He, Yanjing, Zhi Fang, Weijiang Xue, et al.. (2025). Discovery of metal-organic frameworks for efficient NF3/N2 separation by integrating high-throughput computational screening, machine learning, and experimental validation. Separation and Purification Technology. 364. 132481–132481. 2 indexed citations
7.
8.
Yan, Tongan, et al.. (2024). Combining machine learning and molecular simulation to explore MOF materials that contribute to CF4/N2 separation. Inorganic Chemistry Communications. 168. 112927–112927. 4 indexed citations
9.
Wang, Wenqiang, Wenjuan Xue, Zhi Fang, et al.. (2024). Harvesting low-cost gold-based catalysts from e-waste by a cationic covalent triazine organic framework for 4-nitrophenol reduction. Chemical Engineering Journal. 499. 156667–156667. 14 indexed citations
10.
11.
Hu, Yongqi, Lingyao Wang, Nuo Xu, et al.. (2023). Pore engineering in cost-effective and stable Al-MOFs for efficient capture of the greenhouse gas SF6. Chemical Engineering Journal. 471. 144851–144851. 37 indexed citations
12.
Tombesi, Alessia, Corrado Di Nicola, Claudio Pettinari, et al.. (2023). CO2 Capture and Conversion to C1 Chemicals with Mixed-Metal Copper/Nickel Bis(amino)bipyrazolate Metal–Organic Frameworks. ACS Applied Energy Materials. 6(18). 9231–9242. 8 indexed citations
13.
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
14.
Chen, Yanling, et al.. (2023). Machine learning aided computational exploration of metal–organic frameworks with open Cu sites for the effective separation of hydrogen isotopes. Separation and Purification Technology. 334. 126001–126001. 7 indexed citations
15.
Xu, Ming, Shasha Meng, Peiyu Cai, et al.. (2022). Homogeneously Mixing Different Metal–Organic Framework Structures in Single Nanocrystals through Forming Solid Solutions. ACS Central Science. 8(2). 184–191. 32 indexed citations
16.
Xu, Nuo, Tongan Yan, Jiahao Li, et al.. (2022). A new TIFSIX anion pillared metal organic framework with abundant electronegative sites for efficient C2H2/CO2separation. Inorganic Chemistry Frontiers. 10(2). 522–528. 11 indexed citations
17.
Jiang, Yunjia, Lingyao Wang, Tongan Yan, et al.. (2022). Insights into the thermodynamic–kinetic synergistic separation of propyne/propylene in anion pillared cage MOFs with entropy–enthalpy balanced adsorption sites. Chemical Science. 14(2). 298–309. 35 indexed citations
18.
Chang, Miao, et al.. (2022). A nickel-based metal-organic framework for efficient SF6/N2 separation with record SF6 uptake and SF6/N2 selectivity. Separation and Purification Technology. 295. 121340–121340. 48 indexed citations
19.
Galli, Simona, Giulia Tuci, Giuliano Giambastiani, et al.. (2021). Temperature-Dependent Nitrous Oxide/Carbon Dioxide Preferential Adsorption in a Thiazolium-Functionalized NU-1000 Metal–Organic Framework. ACS Applied Materials & Interfaces. 13(49). 58982–58993. 28 indexed citations
20.
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

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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