Wai‐Ki Ching

122 papers and 1.6k indexed citations i.

About

Wai‐Ki Ching is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Wai‐Ki Ching has authored 122 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 27 papers in Computational Theory and Mathematics and 19 papers in Artificial Intelligence. Recurrent topics in Wai‐Ki Ching’s work include Gene Regulatory Network Analysis (41 papers), Bioinformatics and Genomic Networks (18 papers) and Gene expression and cancer classification (16 papers). Wai‐Ki Ching is often cited by papers focused on Gene Regulatory Network Analysis (41 papers), Bioinformatics and Genomic Networks (18 papers) and Gene expression and cancer classification (16 papers). Wai‐Ki Ching collaborates with scholars based in Hong Kong, China and Japan. Wai‐Ki Ching's co-authors include Michael K. Ng, Tatsuya Akutsu, Morihiro Hayashida, Shuqin Zhang, Yushan Qiu, Tak Kuen Siu, Hao Jiang, Eric S. Fung, You‐Wei Wen and Fu‐Rong Lin and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Co-authorship network of co-authors of Wai‐Ki Ching i

Fields of papers citing papers by Wai‐Ki Ching

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai‐Ki Ching. 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 Wai‐Ki Ching. The network helps show where Wai‐Ki Ching may publish in the future.

Countries citing papers authored by Wai‐Ki Ching

Since Specialization
Citations

This map shows the geographic impact of Wai‐Ki Ching'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 Wai‐Ki Ching with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai‐Ki Ching 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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2025