Kung‐Sik Chan

4.1k citations
33 papers · 3.1k indexed · 2 hit papers · h-index 16
Topics
Statistical Methods and Inference (5 papers)Animal Ecology and Behavior Studies (4 papers)Financial Risk and Volatility Modeling (4 papers)

In The Last Decade

Kung‐Sik Chan

32 papers receiving 2.9k citations

Hit Papers

Ecological Effects of Climate Fluctuations2002202620102018200220104008001.2k

Peers

Kung‐Sik Chan
Comparison fields: 5 of 175
  • Ecology 1.2k
  • Global and Planetary Change 906
  • Nature and Landscape Conservation 502
  • Genetics 456
  • Ecological Modeling 382
Replace Elizabeth E. Holmes with:
Elizabeth E. Holmes United States
J. Mario Vargas Spain
Kung‐Sik Chan United States
Frédéric Guichard Canada
Kim Cuddington Canada
Markus Neteler Italy
Nicolas Ray Switzerland
Michael G. Neubert United States
Christopher F. Clements United Kingdom
Hans‐Hermann Thulke Germany
Kung‐Sik Chan relative to Elizabeth E. Holmes United States Elizabeth E. Holmes's profile →
Citations per field
00.5×1.5×
Elizabeth E. Holmes · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 21
2 27
3 3
4 4
5 4
6 13
7 20
8 8
9 1
10 54
11 90
12
Time Series Analysis: With Applications in Rbreakdown →
468
13 11
14 3
15 18
16 5
17 195
18 54
19 24
20 128

About Kung‐Sik Chan

Kung‐Sik Chan is a scholar working on Statistics and Probability, Finance and Signal Processing, having authored 33 papers that have together received 3.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Animal Ecology and Behavior Studies (4 papers) and Financial Risk and Volatility Modeling (4 papers). The work is most often cited by research in Ecological Modeling (382 citations), Ecology (1.2k citations) and Global and Planetary Change (906 citations). Kung‐Sik Chan has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Nils Chr. Stenseth, James W. Hurrell, Geir Ottersen, Maurício Lima, Jonathan D. Cryer, Atle Mysterud, Howell Tong, Mark O’Donoghue, Stan Boutin and Rudy Boonstra. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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

Rankless by CCL
2026