Shanshan Han

68 total papers · 486 total citations
35 papers, 286 citations indexed

About

Shanshan Han is a scholar working on Artificial Intelligence, Electronic, Optical and Magnetic Materials and Inorganic Chemistry. According to data from OpenAlex, Shanshan Han has authored 35 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Electronic, Optical and Magnetic Materials and 8 papers in Inorganic Chemistry. Recurrent topics in Shanshan Han's work include Metal-Organic Frameworks: Synthesis and Applications (8 papers), Magnetism in coordination complexes (8 papers) and Privacy-Preserving Technologies in Data (8 papers). Shanshan Han is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (8 papers), Magnetism in coordination complexes (8 papers) and Privacy-Preserving Technologies in Data (8 papers). Shanshan Han collaborates with scholars based in China, United States and Singapore. Shanshan Han's co-authors include Bao‐Long Li, Rong Jiang, Yimin Yu, Weiping Ding, Bing Wu, Zhi Yang, Aimin Wang, Jiuyi Li, Xiujun Tian and Chunxiao Guo and has published in prestigious journals such as Chemosphere, Journal of Affective Disorders and Energy and Buildings.

In The Last Decade

Shanshan Han

33 papers receiving 280 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shanshan Han 82 67 55 45 37 35 286
Guanfeng Li 17 0.2× 70 1.0× 20 0.4× 44 1.0× 32 0.9× 43 327
Zhan Zhang 54 0.7× 34 0.5× 28 0.5× 23 0.5× 41 1.1× 34 318
Shusuke Okamoto 45 0.5× 25 0.4× 27 0.5× 33 0.7× 66 1.8× 45 283
Do-Yeon Kim 51 0.6× 35 0.5× 9 0.2× 27 0.6× 39 1.1× 44 284
Yue Wang 45 0.5× 59 0.9× 37 0.7× 34 0.8× 15 0.4× 33 331
Tingting Dong 9 0.1× 29 0.4× 9 0.2× 22 0.5× 35 0.9× 47 304
D. Saravanan 23 0.3× 35 0.5× 59 1.1× 28 0.6× 70 1.9× 40 276
Yanan Xu 6 0.1× 64 1.0× 9 0.2× 54 1.2× 43 1.2× 28 301
Zhiqiang Zou 39 0.5× 58 0.9× 7 0.1× 20 0.4× 37 1.0× 47 326
Xun Hu 14 0.2× 11 0.2× 20 0.4× 19 0.4× 71 1.9× 38 292

Countries citing papers authored by Shanshan Han

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Han

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

All Works

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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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