Chia‐Huang Wu

91 total papers · 1.1k total citations
74 papers, 881 citations indexed

About

Chia‐Huang Wu is a scholar working on Management Information Systems, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Chia‐Huang Wu has authored 74 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Management Information Systems, 27 papers in Statistics, Probability and Uncertainty and 25 papers in Management Science and Operations Research. Recurrent topics in Chia‐Huang Wu's work include Advanced Queuing Theory Analysis (38 papers), Advanced Statistical Process Monitoring (27 papers) and Reliability and Maintenance Optimization (18 papers). Chia‐Huang Wu is often cited by papers focused on Advanced Queuing Theory Analysis (38 papers), Advanced Statistical Process Monitoring (27 papers) and Reliability and Maintenance Optimization (18 papers). Chia‐Huang Wu collaborates with scholars based in Taiwan, United States and France. Chia‐Huang Wu's co-authors include Jau‐Chuan Ke, W. L. Pearn, Dong‐Yuh Yang, Zhe George Zhang, Wen Lea Pearn, Kuo-Hsiung Wang, Tzu‐Hsin Liu, Tsai‐Chi Kuo, Louis Y.Y. Lu and Tseng‐Chang Yen and has published in prestigious journals such as International Journal of Production Research, Reliability Engineering & System Safety and Computers & Operations Research.

In The Last Decade

Chia‐Huang Wu

73 papers receiving 854 citations

Author Peers

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

Author						Papers	Cites
Chia‐Huang Wu	549	251	228	216	195	74	881
Peng-Sheng You	293 0.5×	213 0.8×	179 0.8×	91 0.4×	79 0.4×	54	923
Dong‐Yuh Yang	577 1.1×	312 1.2×	146 0.6×	50 0.2×	160 0.8×	51	817
Wen Lea Pearn	266 0.5×	94 0.4×	276 1.2×	256 1.2×	230 1.2×	34	724
Lotfi Tadj	799 1.5×	211 0.8×	159 0.7×	47 0.2×	274 1.4×	99	1.0k
M. J. M. Posner	781 1.4×	170 0.7×	214 0.9×	36 0.2×	260 1.3×	56	1.0k
Ralph L. Disney	607 1.1×	108 0.4×	133 0.6×	59 0.3×	326 1.7×	50	802
N. K. Jaiswal	518 0.9×	181 0.7×	65 0.3×	52 0.2×	224 1.1×	43	829
F.A. van der Duyn Schouten	332 0.6×	584 2.3×	114 0.5×	155 0.7×	114 0.6×	43	983
B. D. Sivazlian	452 0.8×	257 1.0×	120 0.5×	49 0.2×	166 0.9×	56	756
Hayriye Ayhan	673 1.2×	112 0.4×	248 1.1×	51 0.2×	142 0.7×	76	979

Countries citing papers authored by Chia‐Huang Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chia‐Huang Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Huang Wu. 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 Chia‐Huang Wu. The network helps show where Chia‐Huang Wu may publish in the future.

Co-authorship network of co-authors of Chia‐Huang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Huang Wu. A scholar is included among the top collaborators of Chia‐Huang Wu 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 Chia‐Huang Wu. Chia‐Huang Wu 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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