Chun-Yueh Chiang

4.4k citations
10 papers · 3.5k indexed · 1 hit paper · h-index 4
Topics
Matrix Theory and Algorithms (7 papers)Numerical methods for differential equations (4 papers)Advanced Topics in Algebra (3 papers)
Partner nations
TaiwanAustraliaMacao

In The Last Decade

Chun-Yueh Chiang

9 papers receiving 3.4k citations

Hit Papers

Norm-Conserving Pseudopotentials1979202619942010197910002.0k3.0k

Peers

Chun-Yueh Chiang
Comparison fields: 5 of 93
  • Materials Chemistry 2.1k
  • Atomic and Molecular Physics, and Optics 1.5k
  • Electrical and Electronic Engineering 1.1k
  • Electronic, Optical and Magnetic Materials 574
  • Geophysics 398
Replace Fabien Bruneval with:
Fabien Bruneval France
Miguel Pruneda Spain
I. Štich Slovakia
J.‐Y. Raty Belgium
F. Detraux Belgium
Kaoru Ohno Japan
Fabio Finocchi France
Bartomeu Monserrat United Kingdom
Éamonn Murray Ireland
J.-M. Beuken Belgium
Chun-Yueh Chiang relative to Fabien Bruneval France Fabien Bruneval's profile →
Citations per field
00.5×2.7×
Fabien Bruneval · 1×
Citations per year

Countries citing papers authored by Chun-Yueh Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Yueh Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Yueh Chiang. 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 Chun-Yueh Chiang. The network helps show where Chun-Yueh Chiang may publish in the future.

Co-authorship network of co-authors of Chun-Yueh Chiang

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 2
3 3
4 2
5 2
6 8
7 3
8 23
9 7
10
Norm-Conserving Pseudopotentialsbreakdown →
3464

About Chun-Yueh Chiang

Chun-Yueh Chiang is a scholar working on Numerical Analysis, Algebra and Number Theory and Computational Theory and Mathematics, having authored 10 papers that have together received 3.5k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (7 papers), Numerical methods for differential equations (4 papers) and Advanced Topics in Algebra (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.5k citations), Materials Chemistry (2.1k citations) and Condensed Matter Physics (383 citations). Chun-Yueh Chiang has collaborated with scholars based in Taiwan, Australia and Macao. Frequent co-authors include M. Schlüter, D. R. Hamann, Eric King‐wah Chu, Wen‐Wei Lin and Wen-Wei Lin. Their work appears in journals such as Physical Review Letters, Journal of the Franklin Institute and Applied Mathematics and Computation.

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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