Chau‐Chen Torng

30 total papers · 423 total citations
23 papers, 356 citations indexed

About

Chau‐Chen Torng is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, Chau‐Chen Torng has authored 23 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics, Probability and Uncertainty, 6 papers in Control and Systems Engineering and 6 papers in Statistics and Probability. Recurrent topics in Chau‐Chen Torng's work include Advanced Statistical Process Monitoring (17 papers), Scientific Measurement and Uncertainty Evaluation (11 papers) and Advanced Statistical Methods and Models (6 papers). Chau‐Chen Torng is often cited by papers focused on Advanced Statistical Process Monitoring (17 papers), Scientific Measurement and Uncertainty Evaluation (11 papers) and Advanced Statistical Methods and Models (6 papers). Chau‐Chen Torng collaborates with scholars based in Taiwan and China. Chau‐Chen Torng's co-authors include Pei-Hsi Lee, Chun‐Chieh Tseng, Chun‐Chieh Tseng, Chao‐Yu Chou, Yang‐Cheng Lin, Yi-Chun Chen, Wen‐Chu Chiang and Matthew Huei‐Ming and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Production Economics.

In The Last Decade

Chau‐Chen Torng

22 papers receiving 335 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chau‐Chen Torng	280	125	78	54	46	23	356
Bartholomew P.K. Leung	200 0.7×	76 0.6×	82 1.1×	63 1.2×	16 0.3×	21	326
Anan Tang	325 1.2×	168 1.3×	48 0.6×	86 1.6×	31 0.7×	32	340
V. Kuralmani	300 1.1×	140 1.1×	68 0.9×	50 0.9×	30 0.7×	13	313
Ali Hussein AL-Marshadi	228 0.8×	160 1.3×	92 1.2×	48 0.9×	11 0.2×	42	321
Fong‐Jung Yu	286 1.0×	137 1.1×	59 0.8×	69 1.3×	40 0.9×	35	336
Thomas P. McWilliams	219 0.8×	133 1.1×	93 1.2×	18 0.3×	12 0.3×	25	393
Yanjing Ou	352 1.3×	160 1.3×	46 0.6×	106 2.0×	56 1.2×	22	398
Darwin J. Davis	125 0.4×	42 0.3×	75 1.0×	29 0.5×	16 0.3×	17	292
P. C. Lin	336 1.2×	128 1.0×	153 2.0×	48 0.9×	10 0.2×	21	393
T. C. Chang	282 1.0×	145 1.2×	28 0.4×	69 1.3×	43 0.9×	16	333

Countries citing papers authored by Chau‐Chen Torng

Since Specialization

Citations

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

Fields of papers citing papers by Chau‐Chen Torng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chau‐Chen Torng. 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 Chau‐Chen Torng. The network helps show where Chau‐Chen Torng may publish in the future.

Co-authorship network of co-authors of Chau‐Chen Torng

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

All Works

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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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