Gang Han

171 total papers · 8.4k total citations
127 papers, 6.9k citations indexed

About

Gang Han is a scholar working on Water Science and Technology, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Gang Han has authored 127 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Water Science and Technology, 43 papers in Materials Chemistry and 37 papers in Electrical and Electronic Engineering. Recurrent topics in Gang Han's work include Membrane Separation Technologies (44 papers), Magnetic properties of thin films (29 papers) and Membrane-based Ion Separation Techniques (28 papers). Gang Han is often cited by papers focused on Membrane Separation Technologies (44 papers), Magnetic properties of thin films (29 papers) and Membrane-based Ion Separation Techniques (28 papers). Gang Han collaborates with scholars based in Singapore, China and United States. Gang Han's co-authors include Tai‐Shung Chung, Xue Li, Zachary P. Smith, Sui Zhang, Katherine Mizrahi Rodriguez, Qihui Qian, Sharon Lin, Albert X. Wu, Won Seok and Moon Joo Lee and has published in prestigious journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Gang Han

124 papers receiving 6.8k citations

Hit Papers

MOF-Based Membranes for G... 2020 2026 2022 2024 2020 2020 2021 2023 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Gang Han 3.8k 3.0k 2.4k 2.2k 1.7k 127 6.9k
Tomohisa Yoshioka 3.1k 0.8× 2.4k 0.8× 2.6k 1.1× 3.8k 1.7× 1.3k 0.8× 255 7.0k
Nieck E. Benes 2.0k 0.5× 2.0k 0.6× 1.5k 0.6× 2.0k 0.9× 1.2k 0.7× 159 5.1k
Aisheng Huang 2.3k 0.6× 1.6k 0.5× 4.7k 2.0× 4.4k 2.0× 1.2k 0.7× 142 8.6k
Alexander Volodin 3.7k 1.0× 3.8k 1.3× 2.3k 1.0× 1.6k 0.7× 1.9k 1.2× 158 7.5k
A. Julbe 845 0.2× 2.0k 0.7× 2.8k 1.2× 1.6k 0.7× 1.4k 0.8× 176 5.6k
Yichang Pan 1.8k 0.5× 1.1k 0.4× 4.0k 1.7× 3.6k 1.6× 1.2k 0.7× 82 7.3k
K.C. Khulbe 3.0k 0.8× 2.3k 0.8× 1.0k 0.4× 1.9k 0.8× 1.2k 0.7× 129 5.3k
Douglas R. Lloyd 3.7k 1.0× 3.0k 1.0× 965 0.4× 2.2k 1.0× 1.2k 0.7× 172 7.2k
Hua Jin 865 0.2× 950 0.3× 3.6k 1.5× 2.1k 0.9× 1.3k 0.8× 167 6.4k
Zhining Wang 2.4k 0.6× 2.0k 0.7× 1.3k 0.6× 663 0.3× 830 0.5× 141 4.6k

Countries citing papers authored by Gang Han

Since Specialization
Citations

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

Fields of papers citing papers by Gang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Han. A scholar is included among the top collaborators of Gang 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 Gang Han. Gang 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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