C. S. Lin

2.6k total citations · 2 hit papers
28 papers, 1.9k citations indexed

About

C. S. Lin is a scholar working on Plant Science, Genetics and Management Science and Operations Research. According to data from OpenAlex, C. S. Lin has authored 28 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 10 papers in Genetics and 7 papers in Management Science and Operations Research. Recurrent topics in C. S. Lin's work include Genetics and Plant Breeding (20 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Optimal Experimental Design Methods (7 papers). C. S. Lin is often cited by papers focused on Genetics and Plant Breeding (20 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Optimal Experimental Design Methods (7 papers). C. S. Lin collaborates with scholars based in Canada, United States and China. C. S. Lin's co-authors include Michael Binns, L. P. Lefkovitch, Malcolm J. Morrison, H. D. Voldeng, David Buckley, James R. Duncan, P. Y. Jui, C.Y. Lin, G. Butler and I. Hall and has published in prestigious journals such as Biometrics, Theoretical and Applied Genetics and Journal of Immunological Methods.

In The Last Decade

C. S. Lin

27 papers receiving 1.6k citations

Hit Papers

Stability Analysis: Where Do We Stand?1 1986 2026 1999 2012 1986 1988 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. S. Lin Canada 14 1.8k 492 481 169 99 28 1.9k
P. N. Fox Mexico 16 978 0.6× 437 0.9× 209 0.4× 48 0.3× 61 0.6× 25 1.1k
Uwe Meyer Germany 11 628 0.4× 195 0.4× 241 0.5× 21 0.1× 33 0.3× 50 846
Leonardo Crespo‐Herrera Mexico 25 1.7k 1.0× 602 1.2× 384 0.8× 147 0.9× 34 0.3× 67 1.9k
Thomas Payne Mexico 22 1.3k 0.7× 481 1.0× 354 0.7× 75 0.4× 32 0.3× 41 1.4k
Dagne Wegary Ethiopia 17 727 0.4× 237 0.5× 363 0.8× 138 0.8× 164 1.7× 61 1.0k
Wuletaw Tadesse Morocco 21 1.3k 0.7× 513 1.0× 294 0.6× 50 0.3× 67 0.7× 85 1.5k
K. Emrich Germany 9 366 0.2× 181 0.4× 130 0.3× 53 0.3× 16 0.2× 12 652
Cláudio Lopes de Souza Brazil 21 1.4k 0.8× 877 1.8× 281 0.6× 25 0.1× 20 0.2× 64 1.6k
Julian Taylor Australia 22 1.1k 0.6× 372 0.8× 248 0.5× 60 0.4× 6 0.1× 62 1.3k
Julia Sibiya South Africa 21 1.2k 0.7× 277 0.6× 191 0.4× 40 0.2× 84 0.8× 140 1.4k

Countries citing papers authored by C. S. Lin

Since Specialization
Citations

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

Fields of papers citing papers by C. S. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. S. Lin. 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 C. S. Lin. The network helps show where C. S. Lin may publish in the future.

Co-authorship network of co-authors of C. S. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of C. S. Lin. A scholar is included among the top collaborators of C. S. Lin 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 C. S. Lin. C. S. Lin 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
1.
Lin, C. S.. (2023). Decision analysis method of knowledge economy management based on rough set algorithm. International Journal of Sustainable Development. 26(3/4). 206–225.
2.
Lin, C. S., et al.. (1996). Persistence of a field heterogeneity index. Canadian Journal of Plant Science. 76(2). 245–250. 10 indexed citations
3.
Lin, C.Y. & C. S. Lin. (1994). Investigation of genotype-environment interaction by cluster analysis in animal experiments. Canadian Journal of Animal Science. 74(4). 607–612. 6 indexed citations
4.
Lin, C. S., et al.. (1993). Performance of Randomized Block Designs in Field Experiments. Agronomy Journal. 85(1). 168–171. 24 indexed citations
5.
Lin, C. S. & Malcolm J. Morrison. (1992). Selection of test locations for regional trials of barley. Theoretical and Applied Genetics. 83(8). 968–972. 10 indexed citations
6.
Lin, C. S., et al.. (1992). Program for Investigating Genotype‐Environment Interaction. Agronomy Journal. 84(1). 121–124. 12 indexed citations
7.
Lin, C. S. & Michael Binns. (1991). Genetic properties of four types of stability parameter. Theoretical and Applied Genetics. 82(4). 505–509. 66 indexed citations
8.
Lin, C. S. & Michael Binns. (1991). Assessment of a method for cultivar selection based on regional trial data. Theoretical and Applied Genetics. 82(3). 379–388. 23 indexed citations
9.
Lin, C. S., et al.. (1990). Cluster Analyses for Analyzing Two‐Way Classification Data. Agronomy Journal. 82(2). 344–348. 32 indexed citations
10.
Lin, C. S. & Michael Binns. (1989). Comparison of unpredictable environmental variation generated by year and by seeding-time factors for measuring type 4 stability. Theoretical and Applied Genetics. 78(1). 61–64. 1 indexed citations
11.
Lin, C. S. & Michael Binns. (1988). A method of analyzing cultivar x location x year experiments: a new stability parameter. Theoretical and Applied Genetics. 76(3). 425–430. 161 indexed citations
12.
Lin, C. S. & Michael Binns. (1988). A METHOD FOR ASSESSING REGIONAL TRIAL DATA WHEN THE TEST CULTIVARS ARE UNBALANCED WITH RESPECT TO LOCATIONS. Canadian Journal of Plant Science. 68(4). 1103–1110. 1 indexed citations
13.
Lin, C. S. & Michael Binns. (1986). Relative Efficiency of Two Randomized Block Designs Having Different Plot Sizes and Numbers of Replications and of Plots per Block1. Agronomy Journal. 78(3). 531–534. 30 indexed citations
14.
Lin, C. S., et al.. (1985). DESIGN AND MODEL FOR INVESTIGATING COMPETITION EFFECTS FROM NEIGHBOURING TEST PLOTS. Canadian Journal of Plant Science. 65(4). 1073–1077. 3 indexed citations
15.
Lin, C. S. & Michael Binns. (1984). Working rules for determining the plot size and numbers of plots per block in field experiments. The Journal of Agricultural Science. 103(1). 11–15. 21 indexed citations
16.
Lin, C. S., et al.. (1983). Simulation study of three adjustment methods for the modified augmented design and comparison with the balanced lattice square design. The Journal of Agricultural Science. 100(3). 527–534. 13 indexed citations
17.
18.
Lin, C. S.. (1982). Grouping genotypes by a cluster method directly related to genotype-environment interaction mean square. Theoretical and Applied Genetics. 62(3). 277–280. 45 indexed citations
19.
Chong, Calvin, R. L. Desjardins, & C. S. Lin. (1979). CHANGES IN WATER AND CARBOHYDRATE STATUS OF THREE NURSERY SPECIES IN CONTAINERS DURING OVERWINTER STORAGE IN THREE ENVIRONMENTS. Canadian Journal of Plant Science. 59(3). 747–755. 1 indexed citations
20.
Lin, C. S., Michael Binns, & B. K. Thompson. (1977). The use of regression methods to study genotype-environment interactions. Heredity. 38(3). 309–319. 4 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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