H. H. Chang

66 total papers · 950 total citations
32 papers, 467 citations indexed

About

H. H. Chang is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, H. H. Chang has authored 32 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Science and Operations Research, 10 papers in Industrial and Manufacturing Engineering and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in H. H. Chang's work include Optimal Experimental Design Methods (11 papers), Manufacturing Process and Optimization (7 papers) and Advanced Statistical Process Monitoring (4 papers). H. H. Chang is often cited by papers focused on Optimal Experimental Design Methods (11 papers), Manufacturing Process and Optimization (7 papers) and Advanced Statistical Process Monitoring (4 papers). H. H. Chang collaborates with scholars based in Taiwan, China and United States. H. H. Chang's co-authors include A. W. Chiu, Chao‐Ton Su, Yan‐Kwang Chen, Ming‐Tsang Lu, Hung‐Chang Liao, Shih‐Chia Chang, Yung‐Ming Chen, Noah Scovronick, Stefanie Ebelt and Liuhua Shi and has published in prestigious journals such as Environment International, Expert Systems with Applications and Journal of the Operational Research Society.

In The Last Decade

H. H. Chang

29 papers receiving 440 citations

Author Peers

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

Author						Papers	Cites
H. H. Chang	121	88	81	78	68	32	467
Nanda Piersma	109 0.9×	133 1.5×	122 1.5×	16 0.2×	48 0.7×	32	482
Kun‐Lin Hsieh	133 1.1×	135 1.5×	16 0.2×	179 2.3×	60 0.9×	41	477
Gordan Stojić	293 2.4×	69 0.8×	8 0.1×	24 0.3×	44 0.6×	31	531
Lixin Zhou	91 0.8×	25 0.3×	17 0.2×	14 0.2×	34 0.5×	41	510
Aïcha Sekhari	65 0.5×	48 0.5×	33 0.4×	13 0.2×	17 0.3×	43	487
Yao Xiao	120 1.0×	157 1.8×	33 0.4×	8 0.1×	18 0.3×	22	485
Hamed Jalali	105 0.9×	69 0.8×	77 1.0×	40 0.5×	86 1.3×	15	445
Peiyu Ren	162 1.3×	78 0.9×	19 0.2×	16 0.2×	51 0.8×	50	518
Ilija Tanackov	227 1.9×	44 0.5×	14 0.2×	35 0.4×	27 0.4×	32	531
Andrew C. Trapp	98 0.8×	45 0.5×	30 0.4×	7 0.1×	34 0.5×	43	533

Countries citing papers authored by H. H. Chang

Since Specialization

Citations

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

Fields of papers citing papers by H. H. Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. H. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of H. H. Chang. A scholar is included among the top collaborators of H. H. 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 H. H. Chang. H. H. Chang 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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