Tie‐Hua Ng

22 total papers · 404 total citations
16 papers, 274 citations indexed

About

Tie‐Hua Ng is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Tie‐Hua Ng has authored 16 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 7 papers in Management Science and Operations Research and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Tie‐Hua Ng's work include Statistical Methods in Clinical Trials (10 papers), Optimal Experimental Design Methods (7 papers) and Advanced Statistical Process Monitoring (3 papers). Tie‐Hua Ng is often cited by papers focused on Statistical Methods in Clinical Trials (10 papers), Optimal Experimental Design Methods (7 papers) and Advanced Statistical Process Monitoring (3 papers). Tie‐Hua Ng collaborates with scholars based in United States and Cyprus. Tie‐Hua Ng's co-authors include Carolyn A. Wilson, R.G. Cuddihy, H. M. James Hung, Raymond J. Lipicky, Kenny S. Crump, Y. H. George, Ronald H. Randles, Henry H. Hsu and Boguang Zhen and has published in prestigious journals such as American Journal of Epidemiology, Statistics in Medicine and Human Gene Therapy.

In The Last Decade

Tie‐Hua Ng

16 papers receiving 258 citations

Author Peers

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

Author						Papers	Cites
Tie‐Hua Ng	117	59	54	39	38	16	274
Nelson D. Holmquist	49 0.4×	35 0.6×	19 0.4×	4 0.1×	9 0.2×	19	316
Eline Krijkamp	35 0.3×	24 0.4×	19 0.4×	5 0.1×	4 0.1×	18	284
Theophile Bigirumurame	41 0.4×	54 0.9×	6 0.1×	3 0.1×	38 1.0×	20	307
Benoît You	41 0.4×	27 0.5×	7 0.1×	6 0.2×	3 0.1×	12	117
Thorsten Vetter	64 0.5×	32 0.5×	9 0.2×	2 0.1×	3 0.1×	13	315
Grace Hsu	69 0.6×	51 0.9×	6 0.1×	4 0.1×	2 0.1×	13	267
Dankward Kodlin	52 0.4×	12 0.2×	18 0.3×	6 0.2×		18	322
Juan Carlos Pardo–Fernández	147 1.3×	16 0.3×	10 0.2×	2 0.1×	3 0.1×	23	320
Thomas Gwise	97 0.8×	54 0.9×	22 0.4×	2 0.1×	1 0.0×	24	306
Dewi Rahardja	64 0.5×	18 0.3×	20 0.4×	1 0.0×	4 0.1×	44	256

Countries citing papers authored by Tie‐Hua Ng

Since Specialization

Citations

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

Fields of papers citing papers by Tie‐Hua Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tie‐Hua Ng. 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 Tie‐Hua Ng. The network helps show where Tie‐Hua Ng may publish in the future.

Co-authorship network of co-authors of Tie‐Hua Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Tie‐Hua Ng. A scholar is included among the top collaborators of Tie‐Hua Ng 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 Tie‐Hua Ng. Tie‐Hua Ng 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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