Kuan-Ming Lin

About

Kuan-Ming Lin is a scholar working on Plant Science, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Kuan-Ming Lin has authored 8 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Plant Science, 1 paper in Materials Chemistry and 1 paper in Artificial Intelligence. Recurrent topics in Kuan-Ming Lin’s work include Smart Agriculture and AI (2 papers), Microstructure and mechanical properties (1 paper) and Multi-Criteria Decision Making (1 paper). Kuan-Ming Lin is often cited by papers focused on Smart Agriculture and AI (2 papers), Microstructure and mechanical properties (1 paper) and Multi-Criteria Decision Making (1 paper). Kuan-Ming Lin collaborates with scholars based in Taiwan, India and United States. Kuan-Ming Lin's co-authors include Chih‐Jen Lin, Satheesh Abimannan, Yue‐Shan Chang, Yo‐Ping Huang, Hsin‐Ta Chiao, Yi-Ting Tsai, Chung‐Liang Chang, Wen‐Chin Chen, Chien‐Chung Huang and Te‐Hua Fang and has published in prestigious journals such as Energies, Atmospheric Pollution Research and Robotics.

In The Last Decade

Co-authorship network of co-authors of Kuan-Ming Lin i

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Fields of papers citing papers by Kuan-Ming Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan-Ming Lin. 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 Kuan-Ming Lin. The network helps show where Kuan-Ming Lin may publish in the future.

Countries citing papers authored by Kuan-Ming Lin

Since Specialization

Citations

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