Wei-Chien Chang

479 total citations
12 papers, 321 citations indexed

About

Wei-Chien Chang is a scholar working on Artificial Intelligence, Statistics and Probability and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Wei-Chien Chang has authored 12 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Wei-Chien Chang's work include Advanced Statistical Methods and Models (6 papers), Bayesian Methods and Mixture Models (5 papers) and ECG Monitoring and Analysis (2 papers). Wei-Chien Chang is often cited by papers focused on Advanced Statistical Methods and Models (6 papers), Bayesian Methods and Mixture Models (5 papers) and ECG Monitoring and Analysis (2 papers). Wei-Chien Chang collaborates with scholars based in United States, Taiwan and Canada. Wei-Chien Chang's co-authors include Wei Tan, Chih‐Kung Lee, Ming‐Wei Chang and Jia‐Yush Yen and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Wei-Chien Chang

12 papers receiving 276 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wei-Chien Chang United States 6 160 98 59 42 31 12 321
Louis Ferré France 9 62 0.4× 155 1.6× 35 0.6× 24 0.6× 35 1.1× 16 319
Otto Opitz Germany 7 98 0.6× 34 0.3× 41 0.7× 28 0.7× 18 0.6× 18 314
Cathy Maugis France 7 223 1.4× 131 1.3× 34 0.6× 85 2.0× 25 0.8× 8 388
John Van Ness United States 8 79 0.5× 117 1.2× 61 1.0× 32 0.8× 36 1.2× 11 301
Gabriel A. Rodriguez‐Yam Mexico 7 70 0.4× 164 1.7× 9 0.2× 23 0.5× 24 0.8× 12 379
Rüdiger Klar Germany 7 80 0.5× 12 0.1× 31 0.5× 55 1.3× 10 0.3× 17 238
Wing–Kam Fung Hong Kong 13 47 0.3× 358 3.7× 11 0.2× 20 0.5× 26 0.8× 28 482
Ci‐Ren Jiang Taiwan 9 55 0.3× 127 1.3× 14 0.2× 99 2.4× 22 0.7× 14 321
R. Wayne Oldford Canada 10 99 0.6× 68 0.7× 46 0.8× 6 0.1× 6 0.2× 20 228
J. T. Kent United States 5 28 0.2× 104 1.1× 8 0.1× 13 0.3× 11 0.4× 6 274

Countries citing papers authored by Wei-Chien Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Chien Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei-Chien Chang

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

All Works

12 of 12 papers shown
1.
Chang, Wei-Chien, et al.. (2020). Broadband Coupler Manipulation Through Particle Swarm Optimization for Arrayed Waveguide Grating Based Optical Coherence Tomography. IEEE photonics journal. 13(1). 1–13. 2 indexed citations
2.
Yen, Jia‐Yush, et al.. (2010). Modified Frequency-Partitioned Spectrum Estimation for a Wireless Health Advanced Monitoring Bio-Diagnosis System. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 40(3). 611–622. 3 indexed citations
3.
Yen, Jia‐Yush, et al.. (2006). A Sub-band Spectral Analysis for Electrocardiography. 3244–3249. 1 indexed citations
4.
Chang, Wei-Chien, et al.. (1991). An Examination of the Time Series Properties of Beta in the Market Model. Journal of the American Statistical Association. 86(416). 883–890. 4 indexed citations
5.
Chang, Wei-Chien, et al.. (1991). An Examination of the Time Series Properties of Beta in the Market Model. Journal of the American Statistical Association. 86(416). 883–883. 1 indexed citations
6.
Chang, Wei-Chien. (1987). A Graph for Two Training Samples in a Discriminant Analysis. Journal of the Royal Statistical Society Series C (Applied Statistics). 36(1). 82–82. 6 indexed citations
7.
Chang, Wei-Chien. (1983). On Using Principal Components Before Separating a Mixture of Two Multivariate Normal Distributions. Journal of the Royal Statistical Society Series C (Applied Statistics). 32(3). 267–267. 207 indexed citations
8.
9.
Chang, Wei-Chien. (1976). The Effects of Adding a Variable in Dissecting a Mixture of Two Normal Populations with a Common Covariance Matrix. Biometrika. 63(3). 676–676. 5 indexed citations
10.
Chang, Wei-Chien, et al.. (1972). Some Comparisons of the Method of Moments and the Method of Maximum Likelihood in Estimating Parameters of a Mixture of Two Normal Densities. Journal of the American Statistical Association. 67(339). 702–708. 55 indexed citations
11.
Tan, Wei & Wei-Chien Chang. (1972). Convolution Approach to the Genetic Analysis of Quantitative Characters of Self-Fertilized Populations. Biometrics. 28(4). 1073–1073. 20 indexed citations
12.
Chang, Wei-Chien, et al.. (1972). Some Comparisons of the Method of Moments and the Method of Maximum Likelihood in Estimating Parameters of a Mixture of Two Normal Densities. Journal of the American Statistical Association. 67(339). 702–702. 7 indexed citations

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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2026