Fushing Hsieh

5.7k total citations
164 papers, 4.1k citations indexed

About

Fushing Hsieh is a scholar working on Nutrition and Dietetics, Food Science and Statistics and Probability. According to data from OpenAlex, Fushing Hsieh has authored 164 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Nutrition and Dietetics, 25 papers in Food Science and 24 papers in Statistics and Probability. Recurrent topics in Fushing Hsieh's work include Food composition and properties (32 papers), Meat and Animal Product Quality (17 papers) and Statistical Methods and Inference (17 papers). Fushing Hsieh is often cited by papers focused on Food composition and properties (32 papers), Meat and Animal Product Quality (17 papers) and Statistical Methods and Inference (17 papers). Fushing Hsieh collaborates with scholars based in United States, Taiwan and Netherlands. Fushing Hsieh's co-authors include H.E. Huff, Sheng Lin, Bruce W. Turnbull, Brenda McCowan, Yi‐Kuan Tseng, Shingjiang Jessie Lue, I.C. PENG, Hildegarde Heymann, Brianne A. Beisner and Emilio Ferrer and has published in prestigious journals such as PLoS ONE, Econometrica and Biometrics.

In The Last Decade

Fushing Hsieh

158 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fushing Hsieh United States	34	1.3k	1.3k	598	569	398	164	4.1k
Søren Højsgaard Denmark	27	219 0.2×	210 0.2×	302 0.5×	634 1.1×	250 0.6×	65	4.7k
James J. Higgins United States	33	208 0.2×	130 0.1×	804 1.3×	560 1.0×	266 0.7×	153	4.9k
H.J.H. MacFie United Kingdom	30	1.6k 1.2×	650 0.5×	56 0.1×	717 1.3×	555 1.4×	54	3.6k
Garmt Dijksterhuis Netherlands	30	1.4k 1.1×	778 0.6×	61 0.1×	550 1.0×	199 0.5×	73	2.7k
Michael O’Mahony United States	35	2.5k 1.9×	1.9k 1.4×	117 0.2×	559 1.0×	361 0.9×	107	3.6k
John Piggott United Kingdom	38	2.8k 2.1×	1.2k 0.9×	54 0.1×	1.0k 1.8×	924 2.3×	140	4.9k
Richard J. Martin United States	56	186 0.1×	206 0.2×	97 0.2×	478 0.8×	1.4k 3.4×	418	10.5k
Dominique Valentin France	44	3.2k 2.4×	1.1k 0.8×	22 0.0×	403 0.7×	1.1k 2.8×	147	5.6k
Harry T. Lawless United States	50	5.6k 4.2×	4.3k 3.3×	63 0.1×	1.6k 2.8×	1.3k 3.3×	133	9.7k
Daniel M. Ennis United States	23	1.3k 1.0×	802 0.6×	198 0.3×	183 0.3×	59 0.1×	83	1.8k

Countries citing papers authored by Fushing Hsieh

Since Specialization

Citations

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

Fields of papers citing papers by Fushing Hsieh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fushing Hsieh

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hsieh, Fushing, et al.. (2024). Topological Risk-Landscape in Metric-Free Categorical Database. IEEE Access. 12. 66296–66318.

Hsieh, Fushing, et al.. (2023). Multiscale major factor selections for complex system data with structural dependency and heterogeneity. Physica A Statistical Mechanics and its Applications. 630. 129227–129227. 2 indexed citations

Chen, Ting‐Li, et al.. (2022). Learned Practical Guidelines for Evaluating Conditional Entropy and Mutual Information in Discovering Major Factors of Response-vs.-Covariate Dynamics. Entropy. 24(10). 1382–1382. 4 indexed citations

Chen, Ting‐Li, et al.. (2022). Unraveling Hidden Major Factors by Breaking Heterogeneity into Homogeneous Parts within Many-System Problems. Entropy. 24(2). 170–170. 4 indexed citations

McCowan, Brenda, et al.. (2022). Measuring dominance certainty and assessing its impact on individual and societal health in a nonhuman primate model: a network approach. Philosophical Transactions of the Royal Society B Biological Sciences. 377(1845). 20200438–20200438. 17 indexed citations

Hsieh, Fushing, et al.. (2021). Mimicking Complexity of Structured Data Matrix’s Information Content: Categorical Exploratory Data Analysis. Entropy. 23(5). 594–594. 6 indexed citations

Hsieh, Fushing, et al.. (2021). Evaluating reliability of tree-patterns in extreme-K categorical samples problems. Journal of Statistical Computation and Simulation. 91(18). 3828–3849.

Chen, Ting‐Li, et al.. (2021). Categorical Nature of Major Factor Selection via Information Theoretic Measurements. Entropy. 23(12). 1684–1684. 6 indexed citations

Guan, Jiahui, Fushing Hsieh, & Patrice Koehl. (2019). DCG++: A data-driven metric for geometric pattern recognition. PLoS ONE. 14(6). e0217838–e0217838. 2 indexed citations

10.

Hsieh, Fushing, Olivia Lee, Hildegarde Heymann, et al.. (2019). Unraveling the Regional Specificities of Malbec Wines from Mendoza, Argentina, and from Northern California. Agronomy. 9(5). 234–234. 6 indexed citations

11.

Li, Yao, et al.. (2018). Learning from Group Comparisons: Exploiting Higher Order Interactions. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 31. 4981–4990. 11 indexed citations

12.

Hsieh, Fushing & Tania Roy. (2018). Complexity of possibly gapped histogram and analysis of histogram. Royal Society Open Science. 5(2). 171026–171026. 16 indexed citations

13.

Hsieh, Fushing, Shuchun Chen, & Chii-Ruey Hwang. (2010). Discovering stock dynamics through multidimensional volatility phases. Quantitative Finance. 12(2). 213–230. 11 indexed citations

14.

Hsieh, Fushing, Shuchun Chen, & Katherine S. Pollard. (2009). A Nearly Exhaustive Search for CpG Islands on Whole Chromosomes. The International Journal of Biostatistics. 5(1). 10 indexed citations

15.

Han, Ling, H.E. Huff, & Fushing Hsieh. (2008). Production of Oat Cakes from Extruded Pellets. Cereal Chemistry. 85(4). 522–529. 3 indexed citations

16.

Hsieh, Fushing, Li Zhu, David I. Shapiro‐Ilan, James F. Campbell, & Edwin E. Lewis. (2008). State-space based mass event-history model I: Many decision-making agents with one target. The Annals of Applied Statistics. 2(4). 1503–1522. 22 indexed citations

17.

Yao, Gang, et al.. (2004). A New Method for Characterizing Fiber Formation in Meat Analogs during High‐moisture Extrusion. Journal of Food Science. 69(7). 303–307. 78 indexed citations

18.

Hsieh, Fushing, et al.. (1997). Transformation models for interval scale grouped data with applications. Statistica Sinica. 7(4). 841–854. 2 indexed citations

19.

Huff, H.E., et al.. (1996). On-line rheological properties measurements on a co-rotating self-wiping twin-screw extruder.. Food and Bioproducts Processing. 74. 149–158. 5 indexed citations

20.

Lue, Shingjiang Jessie, Fushing Hsieh, I.C. PENG, & H.E. Huff. (1990). Expansion of corn extrudates containing dietary fiber: a microstructure study.. LWT. 23(2). 165–173. 31 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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