Long Han

About

Long Han is a scholar working on Organic Chemistry, Aerospace Engineering and Cognitive Neuroscience. According to data from OpenAlex, Long Han has authored 17 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organic Chemistry, 4 papers in Aerospace Engineering and 4 papers in Cognitive Neuroscience. Recurrent topics in Long Han’s work include Asymmetric Synthesis and Catalysis (4 papers), Functional Brain Connectivity Studies (4 papers) and Robotics and Sensor-Based Localization (4 papers). Long Han is often cited by papers focused on Asymmetric Synthesis and Catalysis (4 papers), Functional Brain Connectivity Studies (4 papers) and Robotics and Sensor-Based Localization (4 papers). Long Han collaborates with scholars based in China, Hong Kong and Germany. Long Han's co-authors include Shu‐Li You, Xiǎo Zhang, Chuan Liu, Wei Zhang, Wei Zhang, Xiaochu Zhang, Rujing Zha, Xiao‐Xin Shi, Mi Zeng and Shouguo Wang and has published in prestigious journals such as NeuroImage, Chemical Communications and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Long Han i

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Fields of papers citing papers by Long Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Han

Since Specialization

Citations

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

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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