Kuo‐Szu Chiang

776 total citations
20 papers, 483 citations indexed

About

Kuo‐Szu Chiang is a scholar working on Plant Science, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Kuo‐Szu Chiang has authored 20 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 3 papers in Infectious Diseases and 2 papers in Molecular Biology. Recurrent topics in Kuo‐Szu Chiang's work include Wheat and Barley Genetics and Pathology (10 papers), Genetics and Plant Breeding (8 papers) and Plant Disease Resistance and Genetics (5 papers). Kuo‐Szu Chiang is often cited by papers focused on Wheat and Barley Genetics and Pathology (10 papers), Genetics and Plant Breeding (8 papers) and Plant Disease Resistance and Genetics (5 papers). Kuo‐Szu Chiang collaborates with scholars based in Taiwan, United States and Belgium. Kuo‐Szu Chiang's co-authors include Clive H. Bock, Emerson M. Del Ponte, Moussa El Jarroudi, Philippe Delfosse, Shih‐Chia Liu, T. R. Gottwald, Yu-Sin Chen, Louis Kouadio, Jayme Garcia Arnal Barbedo and Anne‐Katrin Mahlein and has published in prestigious journals such as Phytopathology, Plant Disease and Agronomy.

In The Last Decade

Kuo‐Szu Chiang

20 papers receiving 465 citations

Peers

Countries citing papers authored by Kuo‐Szu Chiang

Since Specialization

Citations

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

Fields of papers citing papers by Kuo‐Szu Chiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Szu Chiang. 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 Kuo‐Szu Chiang. The network helps show where Kuo‐Szu Chiang may publish in the future.

Co-authorship network of co-authors of Kuo‐Szu Chiang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The Nuances of Plant Disease Severity Estimation Using Quantitative Ordinal Scales—Lessons Learned over Four Decades 2024 ·Phytopathology ·Clive H. Bock, Emerson M. Del Ponte, Kuo‐Szu Chiang	2
2	From Detection to Protection: The Role of Optical Sensors, Robots, and Artificial Intelligence in Modern Plant Disease Management 2024 ·Phytopathology ·Anne‐Katrin Mahlein, Jayme Garcia Arnal Barbedo, Kuo‐Szu Chiang, Emerson M. Del Ponte, Clive H. Bock	7
3	Survival Analysis as a Basis for Testing Hypotheses when Using Quantitative Ordinal Scale Disease Severity Data 2023 ·Phytopathology ·Kuo‐Szu Chiang, Yu‐Mei Chang, (unknown), (unknown), Moussa El Jarroudi, Clive H. Bock	1
4	Plant disease severity estimated visually: a century of research, best practices, and opportunities for improving methods and practices to maximize accuracy 2021 ·Tropical Plant Pathology ·Clive H. Bock, Kuo‐Szu Chiang, Emerson M. Del Ponte	91
5	Understanding the ramifications of quantitative ordinal scales on accuracy of estimates of disease severity and data analysis in plant pathology 2021 ·Tropical Plant Pathology ·Kuo‐Szu Chiang, Clive H. Bock	13
6	Disease Incidence–Severity Relationships on Leaflets, Leaves, and Fruit in the Pecan–Venturia effusaPathosystem 2019 ·Plant Disease ·Clive H. Bock, Kuo‐Szu Chiang	7
7	Quantitative Ordinal Scale Estimates of Plant Disease Severity: Comparing Treatments Using a Proportional Odds Model 2019 ·Phytopathology ·Kuo‐Szu Chiang, (unknown), Yu-Sin Chen, Moussa El Jarroudi, Clive H. Bock	13
8	Effects of Quantitative Ordinal Scale Design on the Accuracy of Estimates of Mean Disease Severity 2019 ·Agronomy ·(unknown), (unknown), (unknown), Clive H. Bock, Kuo‐Szu Chiang	12
9	A discussion on disease severity index values. Part I: warning on inherent errors and suggestions to maximise accuracy 2017 ·Annals of Applied Biology ·Kuo‐Szu Chiang, (unknown), Clive H. Bock	132
10	A discussion on disease severity index values. Part II: using the disease severity index for null hypothesis testing 2017 ·Annals of Applied Biology ·Kuo‐Szu Chiang, (unknown), (unknown), (unknown), Clive H. Bock	28
11	Accuracy of plant specimen disease severity estimates: concepts, history, methods, ramifications and challenges for the future. 2016 ·CABI Reviews ·Clive H. Bock, Kuo‐Szu Chiang, Emerson M. Del Ponte	42
12	Plant Disease Severity Assessment—How Rater Bias, Assessment Method, and Experimental Design Affect Hypothesis Testing and Resource Use Efficiency 2016 ·Phytopathology ·Kuo‐Szu Chiang, Clive H. Bock, (unknown), Moussa El Jarroudi, Philippe Delfosse	22
13	Effects of rater bias and assessment method on disease severity estimation with regard to hypothesis testing 2015 ·Plant Pathology ·Kuo‐Szu Chiang, Clive H. Bock, Moussa El Jarroudi, Philippe Delfosse, (unknown), (unknown)	30
14	What Interval Characteristics Make a Good Categorical Disease Assessment Scale? 2014 ·Phytopathology ·Kuo‐Szu Chiang, Shih‐Chia Liu, Clive H. Bock, T. R. Gottwald	34
15	Disease Severity Estimates—Effects of Rater Accuracy and Assessment Methods for Comparing Treatments 2014 ·Plant Disease ·Clive H. Bock, Moussa El Jarroudi, Louis Kouadio, (unknown), Kuo‐Szu Chiang, Philippe Delfosse	17
16	Degree of Fruit Ripeness Affecting Infestation of Papaya by Two Species of Fruit Flies (Diptera: Tephritidae) 2011 ·(unknown), (unknown), (unknown), Kuo‐Szu Chiang, (unknown), (unknown), (unknown)	4
17	Probability of detecting nematode infestations for quarantine sampling with imperfect extraction efficacy. 2011 ·PubMed ·Pei‐Chen Chen, Shih‐Chia Liu, (unknown), Tse-Wei Chen, Kuo‐Szu Chiang	1
18	Cost analysis in choosing group size when group testing for Potato virus Y in the presence of classification errors 2011 ·Annals of Applied Biology ·(unknown), Kuo‐Szu Chiang, (unknown), (unknown), (unknown), (unknown)	9
19	Cost Considerations in Choosing Group Size for Group Testing in the Seed Potato Certification Program 2010 ·American Journal of Potato Research ·Kuo‐Szu Chiang, (unknown), (unknown), (unknown), (unknown)	12
20	Confidence interval procedures for proportions estimated by group testing with groups of unequal size adjusted for overdispersion 2010 ·Journal of Applied Statistics ·Shih‐Chia Liu, Kuo‐Szu Chiang, (unknown), (unknown)	6

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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