Kung‐Sik Chan

4.1k total citations · 2 hit papers
33 papers, 3.1k citations indexed

About

Kung‐Sik Chan is a scholar working on Artificial Intelligence, Statistics and Probability and Genetics. According to data from OpenAlex, Kung‐Sik Chan has authored 33 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 6 papers in Genetics. Recurrent topics in Kung‐Sik Chan's work include Statistical Methods and Inference (5 papers), Animal Ecology and Behavior Studies (4 papers) and Financial Risk and Volatility Modeling (4 papers). Kung‐Sik Chan is often cited by papers focused on Statistical Methods and Inference (5 papers), Animal Ecology and Behavior Studies (4 papers) and Financial Risk and Volatility Modeling (4 papers). Kung‐Sik Chan collaborates with scholars based in United States, Norway and United Kingdom. Kung‐Sik Chan's co-authors include Nils Chr. Stenseth, James W. Hurrell, Atle Mysterud, Maurício Lima, Geir Ottersen, Jonathan D. Cryer, Howell Tong, Mark O’Donoghue, Charles J. Krebs and Rudy Boonstra and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Kung‐Sik Chan

32 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ecological Effects of Climate Fluctuations

2002 1.4k citations Nils Chr. Stenseth, Kung‐Sik Chan et al. profile →
Time Series Analysis: With Applications in R

2010 468 citations Jonathan D. Cryer, Kung‐Sik Chan CERN Document Server (European Organization for Nuclear Research) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kung‐Sik Chan United States	16	1.2k	906	502	456	382	33	3.1k
J. Mario Vargas Spain	32	1.8k 1.5×	604 0.7×	911 1.8×	276 0.6×	923 2.4×	131	3.7k
Kung‐Sik Chan United States	37	1.2k 1.0×	1.4k 1.6×	695 1.4×	234 0.5×	270 0.7×	111	5.5k
Renato Casagrandi Italy	31	1.1k 0.9×	610 0.7×	709 1.4×	433 0.9×	186 0.5×	94	4.0k
Hans‐Hermann Thulke Germany	29	886 0.7×	714 0.8×	504 1.0×	371 0.8×	295 0.8×	93	3.8k
Marino Gatto Italy	40	1.3k 1.1×	1.1k 1.2×	1.1k 2.1×	636 1.4×	139 0.4×	175	5.1k
Bernard Cazelles France	41	1.4k 1.1×	1.4k 1.5×	452 0.9×	456 1.0×	339 0.9×	117	5.2k
Andrew White United Kingdom	26	907 0.7×	1.6k 1.8×	600 1.2×	667 1.5×	222 0.6×	56	3.5k
Subhash R. Lele Canada	39	2.4k 1.9×	755 0.8×	1.0k 2.0×	788 1.7×	692 1.8×	99	6.3k
Floris M. van Beest Denmark	29	2.1k 1.7×	388 0.4×	433 0.9×	251 0.6×	347 0.9×	83	2.7k
Hans J. Skaug Norway	25	1.7k 1.4×	1.6k 1.7×	1.5k 2.9×	501 1.1×	275 0.7×	80	4.2k

Countries citing papers authored by Kung‐Sik Chan

Since Specialization

Citations

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

Fields of papers citing papers by Kung‐Sik Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kung‐Sik Chan. 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 Kung‐Sik Chan. The network helps show where Kung‐Sik Chan may publish in the future.

Co-authorship network of co-authors of Kung‐Sik Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Kung‐Sik Chan. A scholar is included among the top collaborators of Kung‐Sik Chan 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 Kung‐Sik Chan. Kung‐Sik Chan 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

Liang, Peir‐In, Fei Wu, Yi Chu, et al.. (2021). Metabolic derangement in polycystic kidney disease mouse models is ameliorated by mitochondrial-targeted antioxidants. Communications Biology. 4(1). 1200–1200. 21 indexed citations

Chu, Yi, Renny S. Lan, Rui Huang, et al.. (2020). Glutathione peroxidase‐1 overexpression reduces oxidative stress, and improves pathology and proteome remodeling in the kidneys of old mice. Aging Cell. 19(6). e13154–e13154. 27 indexed citations

Wang, Chao & Kung‐Sik Chan. (2017). carx: an R Package to Estimate Censored Autoregressive Time Series with Exogenous Covariates. The R Journal. 9(2). 213–213. 3 indexed citations

Chan, Kung‐Sik, Alicia K. Gerke, Junfeng Guo, et al.. (2016). Novel Logistic Regression Model of Chest CT Attenuation Coefficient Distributions for the Automated Detection of Abnormal (Emphysema or ILD) Versus Normal Lung. Academic Radiology. 23(3). 304–314. 4 indexed citations

Guo, Junfeng, Chao Wang, Kung‐Sik Chan, et al.. (2016). A controlled statistical study to assess measurement variability as a function of test object position and configuration for automated surveillance in a multicenter longitudinal COPD study (SPIROMICS). Medical Physics. 43(5). 2598–2610. 4 indexed citations

Xu, Sen, et al.. (2016). An integrated K-means – Laplacian cluster ensemble approach for document datasets. Neurocomputing. 214. 495–507. 13 indexed citations

Su, Fei & Kung‐Sik Chan. (2015). Quasi-likelihood estimation of a threshold diffusion process. Journal of Econometrics. 189(2). 473–484. 20 indexed citations

Chen, Kun, Lorenzo Ciannelli, Mary Beth Decker, et al.. (2014). Reconstructing Source-Sink Dynamics in a Population with a Pelagic Dispersal Phase. PLoS ONE. 9(5). e95316–e95316. 8 indexed citations

Chan, Kung‐Sik & Ruey S. Tsay. (2011). Discussion of “Feature Matching in Time Series Modeling” by Y. Xia and H. Tong. Statistical Science. 26(1). 1 indexed citations

10.

Samia, Noelle I., Kyrre Kausrud, Hans Heesterbeek, et al.. (2011). Dynamics of the plague–wildlife–human system in Central Asia are controlled by two epidemiological thresholds. Proceedings of the National Academy of Sciences. 108(35). 14527–14532. 54 indexed citations

11.

Llope, Marcos, Georgi Daskalov, Tristan Rouyer, et al.. (2010). Overfishing of top predators eroded the resilience of the Black Sea system regardless of the climate and anthropogenic conditions. Global Change Biology. 17(3). 1251–1265. 90 indexed citations

12.

Cryer, Jonathan D. & Kung‐Sik Chan. (2010). Time Series Analysis: With Applications in R. CERN Document Server (European Organization for Nuclear Research). 468 indexed citations breakdown →

13.

Chan, Kung‐Sik & Howell Tong. (2010). A note on the invertibility of nonlinear ARMA models. Journal of Statistical Planning and Inference. 140(12). 3709–3714. 11 indexed citations

14.

Chan, Kung‐Sik. (2009). Exploration of a Nonlinear World. WORLD SCIENTIFIC eBooks. 3 indexed citations

15.

Chan, Kung‐Sik, et al.. (2008). A NOTE ON INEQUALITY CONSTRAINTS IN THE GARCH MODEL. Econometric Theory. 24(3). 823–828. 18 indexed citations

16.

Chan, Kung‐Sik, et al.. (2008). A note on the non-negativity of continuous-time ARMA and GARCH processes. Statistics and Computing. 19(2). 149–153. 5 indexed citations

17.

Stenseth, Nils Chr., Noelle I. Samia, Hildegunn Viljugrein, et al.. (2006). Plague dynamics are driven by climate variation. Proceedings of the National Academy of Sciences. 103(35). 13110–13115. 195 indexed citations

18.

Yagi, K., et al.. (2005). Phe-Gly-Leu-amide allatostatin in the termite Reticulitermes flavipes: Content in brain and corpus allatum and effect on juvenile hormone synthesis. Journal of Insect Physiology. 51(4). 357–365. 54 indexed citations

19.

Woodhead, Andrea P., et al.. (2003). Allatostatin in ovaries, oviducts, and young embryos in the cockroach Diploptera punctata. Journal of Insect Physiology. 49(12). 1103–1114. 24 indexed citations

20.

Stenseth, Nils Chr., Wilhelm Falck, Kung‐Sik Chan, et al.. (1998). From patterns to processes: Phase and density dependencies in the Canadian lynx cycle. Proceedings of the National Academy of Sciences. 95(26). 15430–15435. 128 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.

Explore authors with similar magnitude of impact