Han Yan

9.6k total citations · 3 hit papers
140 papers, 8.4k citations indexed

About

Han Yan is a scholar working on Materials Chemistry, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Han Yan has authored 140 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Materials Chemistry, 24 papers in Organic Chemistry and 22 papers in Biomedical Engineering. Recurrent topics in Han Yan's work include Graphene research and applications (22 papers), Catalytic Processes in Materials Science (19 papers) and MXene and MAX Phase Materials (17 papers). Han Yan is often cited by papers focused on Graphene research and applications (22 papers), Catalytic Processes in Materials Science (19 papers) and MXene and MAX Phase Materials (17 papers). Han Yan collaborates with scholars based in China, United States and United Kingdom. Han Yan's co-authors include Hu Yang, Rongshi Cheng, Xiaoqiang Fan, Minhao Zhu, Meng Cai, Wen Li, Aimin Li, Zhen Yang, Hao Li and Shijie Song and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Han Yan

135 papers receiving 8.2k citations

Hit Papers

A hydrophobic surface enabled salt-blocking 2D Ti3C2MXene... 2018 2026 2020 2023 2018 2021 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
Han Yan China 50 4.4k 2.1k 1.9k 1.4k 1.4k 140 8.4k
Francisco Carrasco‐Marín Spain 51 3.7k 0.9× 2.7k 1.3× 1.6k 0.8× 1.1k 0.7× 2.0k 1.4× 251 9.8k
Om P. Khatri India 41 3.1k 0.7× 814 0.4× 1.2k 0.6× 962 0.7× 1.1k 0.8× 126 6.2k
Rochel M. Lago Brazil 43 3.2k 0.7× 2.2k 1.0× 1.9k 1.0× 1.2k 0.9× 2.1k 1.5× 193 7.3k
Wei Yan China 57 3.7k 0.8× 2.9k 1.4× 3.4k 1.7× 919 0.6× 1.7k 1.2× 345 11.6k
Jing Feng China 48 4.6k 1.1× 2.4k 1.1× 3.5k 1.8× 860 0.6× 1.8k 1.3× 192 9.7k
King Lun Yeung Hong Kong 61 6.0k 1.4× 1.8k 0.9× 2.8k 1.4× 1.2k 0.8× 1.8k 1.3× 224 10.7k
Weiquan Cai China 48 3.6k 0.8× 1.9k 0.9× 2.4k 1.2× 1.2k 0.8× 1.3k 1.0× 168 7.8k
Kyriaki Polychronopoulou United Arab Emirates 58 5.9k 1.3× 767 0.4× 1.7k 0.9× 703 0.5× 2.3k 1.6× 227 10.2k
Gaofeng Zeng China 43 4.0k 0.9× 1.2k 0.6× 2.0k 1.0× 433 0.3× 1.2k 0.8× 159 6.8k
Haitao Wang China 52 4.5k 1.0× 997 0.5× 3.2k 1.6× 594 0.4× 2.1k 1.5× 292 9.7k

Countries citing papers authored by Han Yan

Since Specialization
Citations

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

Fields of papers citing papers by Han Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Han Yan. A scholar is included among the top collaborators of Han 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 Han Yan. Han 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.
Ma, Wei, Lai‐Peng Ma, Xiao Kong, et al.. (2025). Intelligent self-correcting growth of uniform Bernal-stacked bi-/trilayer graphene. Proceedings of the National Academy of Sciences. 122(18). e2419968122–e2419968122.
2.
Lou, Zhichao, He Han, Zhizhong Wang, et al.. (2025). Atomic‐Scale Customization of Oriented Dipolar Defects in Amorphous Carbon via Nanoparticle‐Templated Phase Engineering. Advanced Functional Materials. 36(13). 1 indexed citations
4.
Yan, Han, Yin Yang, Qi Zhou, et al.. (2024). Preparation and catalytic performance of nano beta zeolites for Friedel–Crafts acylation at low temperature. Microporous and Mesoporous Materials. 383. 113409–113409. 1 indexed citations
5.
Doherty, Simon, Julian G. Knight, Corinne Wills, et al.. (2024). Gold Nanoparticle‐Catalyzed Solvent Switchable Selective Partial Reduction of Nitrobenzene to N‐Phenylhydroxylamine and Azoxybenzene. ChemCatChem. 17(5). 1 indexed citations
7.
Ding, Xin, Dawei Huang, Zixu Guo, et al.. (2024). Experimental investigations on combined high and low cycle fatigue: Material-level specimen design and strain response characteristics. Chinese Journal of Aeronautics. 38(1). 103246–103246. 1 indexed citations
8.
Xu, Kai, Chao Ma, Han Yan, et al.. (2022). Catalytically efficient Ni-NiOx-Y2O3 interface for medium temperature water-gas shift reaction. Nature Communications. 13(1). 2443–2443. 61 indexed citations
9.
Song, Shijie, Han Yan, Meng Cai, et al.. (2022). Superhydrophobic composite coating for reliable corrosion protection of Mg alloy. Materials & Design. 215. 110433–110433. 58 indexed citations
10.
Fan, Xiaoqiang, et al.. (2022). Interpenetrating network polymer (IPN) composite coating containing fluorinated polyacrylic complex latex particles toward high wear and corrosion resistance. Colloids and Surfaces A Physicochemical and Engineering Aspects. 639. 128323–128323. 8 indexed citations
11.
Cai, Meng, Han Yan, Shijie Song, et al.. (2022). State-of-the-art progresses for Ti3C2Tx MXene reinforced polymer composites in corrosion and tribology aspects. Advances in Colloid and Interface Science. 309. 102790–102790. 69 indexed citations
12.
Cai, Meng, et al.. (2021). Tribological properties of Ti3C2Tx MXene reinforced interpenetrating polymers network coating. Tribology International. 163. 107196–107196. 65 indexed citations
14.
Yan, Han, et al.. (2020). Configuration of transition-metal atoms on iridium-doped graphene. Journal of Physics B Atomic Molecular and Optical Physics. 54(8). 85101–85101. 1 indexed citations
15.
Yan, Han, Lin Zhang, Hao Li, Xiaoqiang Fan, & Minhao Zhu. (2019). Towards high-performance additive of Ti3C2/graphene hybrid with a novel wrapping structure in epoxy coating. Carbon. 157. 217–233. 196 indexed citations
16.
Lin, Xue, et al.. (2019). Structural, mechanical, and electronic properties of nanotubes based on buckled arsenene: A first-principles study. Materials Today Communications. 22. 100791–100791. 11 indexed citations
17.
Giner, Ignacio, Han Yan, Alejandro González Orive, et al.. (2018). Water adsorption and capillary bridge formation on silica micro-particle layers modified with perfluorinated organosilane monolayers. Applied Surface Science. 475. 873–879. 13 indexed citations
18.
Meng, Xinlei, et al.. (2017). Aggregation-induced emission, multiple chromisms and self-organization of N -substituted-1,8-naphthalimides. Dyes and Pigments. 148. 147–153. 28 indexed citations
19.
Zhang, Wenxuan, Haijiang Li, Xiaowei Kan, et al.. (2012). Adsorption of anionic dyes from aqueous solutions using chemically modified straw. Bioresource Technology. 117. 40–47. 175 indexed citations
20.
Pan, Changwang, et al.. (2011). IMPROVING NONTHROMBOGENICITY OF CHITIN WITH ZWITTERIONIC STRUCTURE OF SULFOBETAINE. Chinese Journal of Polymer Science. 23(4). 449–452. 1 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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