Minghan Li

About

Minghan Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Minghan Li has authored 18 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Minghan Li’s work include Quantum Mechanics and Applications (4 papers), Multimodal Machine Learning Applications (3 papers) and Quantum Information and Cryptography (3 papers). Minghan Li is often cited by papers focused on Quantum Mechanics and Applications (4 papers), Multimodal Machine Learning Applications (3 papers) and Quantum Information and Cryptography (3 papers). Minghan Li collaborates with scholars based in China, Hong Kong and Taiwan. Minghan Li's co-authors include Lei Zhang, Ruihuang Li, Yabin Zhang, Kui Jia, Deyu Meng, Qian Zhao, Francisco Olivera, Yang Liu, Xiongfeng Ma and Jingyun Fan and has published in prestigious journals such as Physical Review Letters, Chemical Engineering Journal and Small.

In The Last Decade

Co-authorship network of co-authors of Minghan Li i

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Fields of papers citing papers by Minghan Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Minghan Li

Since Specialization

Citations

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