Hang–Chin Lai

48 papers and 313 indexed citations i.

About

Hang–Chin Lai is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Numerical Analysis. According to data from OpenAlex, Hang–Chin Lai has authored 48 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Theory and Mathematics, 14 papers in Applied Mathematics and 13 papers in Numerical Analysis. Recurrent topics in Hang–Chin Lai’s work include Optimization and Variational Analysis (23 papers), Advanced Optimization Algorithms Research (13 papers) and Optimization and Mathematical Programming (10 papers). Hang–Chin Lai is often cited by papers focused on Optimization and Variational Analysis (23 papers), Advanced Optimization Algorithms Research (13 papers) and Optimization and Mathematical Programming (10 papers). Hang–Chin Lai collaborates with scholars based in Taiwan, Japan and United States. Hang–Chin Lai's co-authors include Kensuke Tanaka, Soon‐Yi Wu, Lai-Jiu Lin, Qamrul Hasan Ansari, Huimei Chen and Jiawen Chen and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Numerische Mathematik and Nonlinear Analysis.

In The Last Decade

Co-authorship network of co-authors of Hang–Chin Lai i

Fields of papers citing papers by Hang–Chin Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hang–Chin Lai. 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 Hang–Chin Lai. The network helps show where Hang–Chin Lai may publish in the future.

Countries citing papers authored by Hang–Chin Lai

Since Specialization
Citations

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