Institute of Intelligent Machines

1.9k papers and 60.2k indexed citations i.

About

In recent decades, authors affiliated with Institute of Intelligent Machines have published 1.9k papers, which have received a total of 60.2k indexed citations. Scholars at this organization have produced 415 papers in Biomedical Engineering, 365 papers in Electrical and Electronic Engineering and 349 papers in Materials Chemistry on the topics of Gold and Silver Nanoparticles Synthesis and Applications (141 papers), Advanced biosensing and bioanalysis techniques (140 papers) and Analytical Chemistry and Sensors (120 papers). Their work is cited by papers focused on Materials Chemistry (16.8k citations), Electrical and Electronic Engineering (14.8k citations) and Biomedical Engineering (13.7k citations). Authors at Institute of Intelligent Machines collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including Journal of the American Chemical Society, Angewandte Chemie International Edition and Nucleic Acids Research. Some of Institute of Intelligent Machines's most productive authors include Jinhuai Liu, De-Shuang Huang, Xing‐Jiu Huang, Zhongping Zhang, Liangbao Yang, Zengfu Wang, Suhua Wang, Yü Liu, Fanli Meng and Zheng Guo.

In The Last Decade

Fields of papers published by authors at Institute of Intelligent Machines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute of Intelligent Machines at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Institute of Intelligent Machines at the time of their publication.

Countries citing scholars working at Institute of Intelligent Machines

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Institute of Intelligent Machines. 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 papers produced at Institute of Intelligent Machines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Institute of Intelligent Machines 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.

Explore institutions with similar magnitude of impact

Rankless by CCL
2025