Yaling Yan

483 total citations
10 papers, 377 citations indexed

About

Yaling Yan is a scholar working on Materials Chemistry, Inorganic Chemistry and Mechanical Engineering. According to data from OpenAlex, Yaling Yan has authored 10 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 7 papers in Inorganic Chemistry and 3 papers in Mechanical Engineering. Recurrent topics in Yaling Yan's work include Metal-Organic Frameworks: Synthesis and Applications (7 papers), Machine Learning in Materials Science (4 papers) and Covalent Organic Framework Applications (3 papers). Yaling Yan is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (7 papers), Machine Learning in Materials Science (4 papers) and Covalent Organic Framework Applications (3 papers). Yaling Yan collaborates with scholars based in China, Germany and Singapore. Yaling Yan's co-authors include Hong Liang, Zhiwei Qiao, Zenan Shi, Shuhua Li, Wenyuan Yang, Chengzhi Cai, Zili Liu, Xiaomei Deng, Huilin Li and Lifeng Li and has published in prestigious journals such as Applied Catalysis B: Environmental, Chemical Engineering Journal and The Journal of Physical Chemistry C.

In The Last Decade

Yaling Yan

10 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaling Yan China 9 275 249 94 53 51 10 377
Wenyuan Yang China 10 261 0.9× 250 1.0× 139 1.5× 17 0.3× 50 1.0× 11 392
Shuhua Li China 10 266 1.0× 289 1.2× 132 1.4× 23 0.4× 81 1.6× 18 454
Mariana A. Moreira Portugal 10 214 0.8× 333 1.3× 170 1.8× 22 0.4× 19 0.4× 10 411
Courtney S. Smoljan United States 10 237 0.9× 242 1.0× 105 1.1× 49 0.9× 22 0.4× 22 362
Jafar Sadeghzadeh Ahari Iran 12 183 0.7× 103 0.4× 132 1.4× 153 2.9× 24 0.5× 26 370
Vanessa F. D. Martins Portugal 13 281 1.0× 366 1.5× 301 3.2× 53 1.0× 31 0.6× 14 528
Hee Tae Beum South Korea 12 170 0.6× 129 0.5× 228 2.4× 39 0.7× 25 0.5× 15 346
Young Gul Hur South Korea 13 231 0.8× 179 0.7× 175 1.9× 143 2.7× 16 0.3× 23 456
Jinpeng Miao China 6 222 0.8× 217 0.9× 143 1.5× 9 0.2× 88 1.7× 8 375
Carmen Chen United States 5 136 0.5× 155 0.6× 45 0.5× 10 0.2× 28 0.5× 5 220

Countries citing papers authored by Yaling Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yaling Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaling Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yaling Yan. A scholar is included among the top collaborators of Yaling 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 Yaling Yan. Yaling Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Huang, Qiuhong, Lifeng Li, Yaling Yan, et al.. (2023). Machine learning and molecular fingerprint screening of high-performance 2D/3D MOF membranes for Kr/Xe separation. Chemical Engineering Science. 280. 119031–119031. 14 indexed citations
2.
Zhang, Lulu, Qiuhong Huang, Lifeng Li, et al.. (2023). Automatic Machine Learning Combined with High-Throughput Computational Screening of Hydrophobic Metal–Organic Frameworks for Capture of Methanol and Ethanol from the Air. ACS ES&T Engineering. 4(1). 115–127. 8 indexed citations
3.
Chen, Dongdong, Yaling Yan, Huarong Lei, et al.. (2022). Mechanistic Insights into the Promotion of Low-Temperature Nh3-Scr Catalysis by Copper Auto-Reduction in Cu-Zeolites. SSRN Electronic Journal. 1 indexed citations
4.
5.
Chen, Dongdong, Yaling Yan, Anqi Guo, et al.. (2022). Mechanistic insights into the promotion of low-temperature NH3-SCR catalysis by copper auto-reduction in Cu-zeolites. Applied Catalysis B: Environmental. 322. 122118–122118. 51 indexed citations
6.
Shi, Zenan, Yaling Yan, Junjie Li, et al.. (2021). Techno-economic analysis of metal–organic frameworks for adsorption heat pumps/chillers: from directional computational screening, machine learning to experiment. Journal of Materials Chemistry A. 9(12). 7656–7666. 34 indexed citations
7.
Qiao, Zhiwei, et al.. (2021). Metal–Organic Frameworks for Xylene Separation: From Computational Screening to Machine Learning. The Journal of Physical Chemistry C. 125(14). 7839–7848. 46 indexed citations
8.
Yan, Yaling, Lulu Zhang, Shuhua Li, Hong Liang, & Zhiwei Qiao. (2021). Adsorption behavior of metal-organic frameworks: From single simulation, high-throughput computational screening to machine learning. Computational Materials Science. 193. 110383–110383. 27 indexed citations
9.
Yan, Yaling, Zenan Shi, Huilin Li, et al.. (2021). Machine learning and in-silico screening of metal–organic frameworks for O2/N2 dynamic adsorption and separation. Chemical Engineering Journal. 427. 131604–131604. 67 indexed citations
10.
Shi, Zenan, Wenyuan Yang, Xiaomei Deng, et al.. (2020). Machine-learning-assisted high-throughput computational screening of high performance metal–organic frameworks. Molecular Systems Design & Engineering. 5(4). 725–742. 119 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Wenyuan Yang Breakdown of academic impact, for papers by Shuhua Li Breakdown of academic impact, for papers by Mariana A. Moreira Breakdown of academic impact, for papers by Courtney S. Smoljan Breakdown of academic impact, for papers by Jafar Sadeghzadeh Ahari Breakdown of academic impact, for papers by Vanessa F. D. Martins Breakdown of academic impact, for papers by Hee Tae Beum Breakdown of academic impact, for papers by Young Gul Hur Breakdown of academic impact, for papers by Jinpeng Miao Breakdown of academic impact, for papers by Carmen Chen
Rankless by CCL
2026