Chang Chiann

668 total citations
27 papers, 279 citations indexed

About

Chang Chiann is a scholar working on Computer Vision and Pattern Recognition, Finance and Economics and Econometrics. According to data from OpenAlex, Chang Chiann has authored 27 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Finance and 8 papers in Economics and Econometrics. Recurrent topics in Chang Chiann's work include Image and Signal Denoising Methods (9 papers), Financial Risk and Volatility Modeling (8 papers) and Statistical and numerical algorithms (5 papers). Chang Chiann is often cited by papers focused on Image and Signal Denoising Methods (9 papers), Financial Risk and Volatility Modeling (8 papers) and Statistical and numerical algorithms (5 papers). Chang Chiann collaborates with scholars based in Brazil, United States and Moldova. Chang Chiann's co-authors include Pedro A. Morettin, Sı́lvia Storpirtis, Rodrigo Cristofoletti, Jennifer Dressman, Patrícia Melo Aguiar, Egı́dio Lima Dórea, Divaldo Pereira de Lyra, László Endrényi, László Tóthfalusi and Shein‐Chung Chow and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Econometrics and Statistics in Medicine.

In The Last Decade

Chang Chiann

24 papers receiving 260 citations

Peers

Chang Chiann
Comparison fields: 5 of 85
  • Economics and Econometrics 65
  • Pharmaceutical Science 41
  • Statistics and Probability 39
  • Finance 34
  • Computer Vision and Pattern Recognition 32
Replace Chunfu Qiu with:
Chunfu Qiu United States
Anne‐Françoise Yao France
Johan Hopstadius Sweden
Matej Horvat Slovenia
Yuzo Maruyama Japan
Stephanie J. Reisinger United States
Valeriu Damian United States
Olivier Guilbaud Sweden
Ivan Zorych United States
Chunfu Qiu United States View profile →
Citations per field, relative to Chang Chiann
Chang Chiann · 1×
Citations per year, relative to Chang Chiann
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Countries citing papers authored by Chang Chiann

Since Specialization
Citations

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

Fields of papers citing papers by Chang Chiann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang Chiann. 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 Chang Chiann. The network helps show where Chang Chiann may publish in the future.

Co-authorship network of co-authors of Chang Chiann

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 2
5 2
6 3
7 12
8 5
9 2
10 40
11 6
12 34
13 6
14 14
15 3
16
Wavelet-Smoothed Empirical Copula Estimators
2
17
Modelos fatoriais para retornos de ativos
1
18 5
19 2
20 76

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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