Kai‐Wei Chang

41 papers and 4.5k indexed citations i.

About

Kai‐Wei Chang is a scholar working on Molecular Biology, Artificial Intelligence and Cell Biology. According to data from OpenAlex, Kai‐Wei Chang has authored 41 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Artificial Intelligence and 6 papers in Cell Biology. Recurrent topics in Kai‐Wei Chang’s work include Computational Drug Discovery Methods (5 papers), Face and Expression Recognition (4 papers) and CRISPR and Genetic Engineering (4 papers). Kai‐Wei Chang is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Face and Expression Recognition (4 papers) and CRISPR and Genetic Engineering (4 papers). Kai‐Wei Chang collaborates with scholars based in Taiwan, United States and China. Kai‐Wei Chang's co-authors include Cho‐Jui Hsieh, Chih‐Jen Lin, Wang Xiang-rui, Yin-Wen Chang, Shau‐Ping Lin, Tsung-Ying Tsai, Calvin Yu‐Chian Chen, Hong‐Nerng Ho, Hsin‐Fu Chen and Wei-Chun Chang and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Chemistry and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Kai‐Wei Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Wei Chang. A scholar is included among the top collaborators of Kai‐Wei Chang 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 Kai‐Wei Chang. Kai‐Wei Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Kai‐Wei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Wei Chang. 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 Kai‐Wei Chang. The network helps show where Kai‐Wei Chang may publish in the future.

Countries citing papers authored by Kai‐Wei Chang

Since Specialization
Citations

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