Tsz Wai Ko

9 papers receiving 611 citations

Hit Papers

A fourth-generation high-dimensional neural network poten...20212026202220242021100200300

Peers

Tsz Wai Ko
Comparison fields: 5 of 49
  • Materials Chemistry 557
  • Computational Theory and Mathematics 182
  • Molecular Biology 128
  • Electrical and Electronic Engineering 128
  • Atomic and Molecular Physics, and Optics 100
Replace Jonas A. Finkler with:
Jonas A. Finkler Switzerland
Yashasvi S. Ranawat Finland
Tobias Morawietz United States
Lauri Himanen Finland
Eiaki V. Morooka Finland
James Chapman United States
Dávid Péter Kovács United Kingdom
Anand Narayanan Krishnamoorthy Germany
Cas van der Oord United Kingdom
John E. Herr United States
Tsz Wai Ko relative to Jonas A. Finkler Switzerland Jonas A. Finkler's profile →
Citations per field
00.5×3.3×
Jonas A. Finkler · 1×
Citations per year

Countries citing papers authored by Tsz Wai Ko

Since Specialization
Citations

This map shows the geographic impact of Tsz Wai Ko'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 Tsz Wai Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsz Wai Ko more than expected).

Fields of papers citing papers by Tsz Wai Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsz Wai Ko. 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 Tsz Wai Ko. The network helps show where Tsz Wai Ko may publish in the future.

Co-authorship network of co-authors of Tsz Wai Ko

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 3
2 6
3 6
4 54
5 69
6 40
7
A fourth-generation high-dimensional neural network potential with accurate electrostatics including non-local charge transferbreakdown →
339
8 98
9 6

About Tsz Wai Ko

Tsz Wai Ko is a scholar working on Structural Biology, Computational Theory and Mathematics and Materials Chemistry, having authored 9 papers that have together received 621 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), Computational Drug Discovery Methods (4 papers) and X-ray Diffraction in Crystallography (2 papers). The work is most often cited by research in Materials Chemistry (557 citations), Computational Theory and Mathematics (182 citations) and Catalysis (37 citations). Tsz Wai Ko has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Jonas A. Finkler, Jörg Behler, Stefan Goedecker, Shyue Ping Ong, Ji Qi, Tuan Anh Pham, Brandon C. Wood, Nicolas Onofrio, Luis Barroso-Luque and Marcel Nassar. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics and Accounts of Chemical Research.

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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