Shan-Hwei Nienhuys-Cheng

About

Shan-Hwei Nienhuys-Cheng is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Shan-Hwei Nienhuys-Cheng has authored 6 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Molecular Biology. Recurrent topics in Shan-Hwei Nienhuys-Cheng’s work include Logic, Reasoning, and Knowledge (2 papers), Natural Language Processing Techniques (2 papers) and Homotopy and Cohomology in Algebraic Topology (1 paper). Shan-Hwei Nienhuys-Cheng is often cited by papers focused on Logic, Reasoning, and Knowledge (2 papers), Natural Language Processing Techniques (2 papers) and Homotopy and Cohomology in Algebraic Topology (1 paper). Shan-Hwei Nienhuys-Cheng collaborates with scholars based in The Netherlands, United States and Germany. Shan-Hwei Nienhuys-Cheng's co-authors include Roland Wolf, Ronald de Wolf, Arie de Bruin and Liviu Badea and has published in prestigious journals such as Theoretical Computer Science, Lecture notes in computer science and Mathematische Zeitschrift.

In The Last Decade

Co-authorship network of co-authors of Shan-Hwei Nienhuys-Cheng i

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Fields of papers citing papers by Shan-Hwei Nienhuys-Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shan-Hwei Nienhuys-Cheng. 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 Shan-Hwei Nienhuys-Cheng. The network helps show where Shan-Hwei Nienhuys-Cheng may publish in the future.

Countries citing papers authored by Shan-Hwei Nienhuys-Cheng

Since Specialization

Citations

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