Shin-Han Shiu

Shin-Han Shiu

Michigan State University

H-index: 61

North America-United States

About Shin-Han Shiu

Shin-Han Shiu, With an exceptional h-index of 61 and a recent h-index of 45 (since 2020), a distinguished researcher at Michigan State University, specializes in the field of Molecular evolution, plant science, stress biology, computational genomics, artificial intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Effect of wastewater collection and concentration methods on assessment of viral diversity

Plant Science Knowledge Graph Corpus: a gold standard entity and relation corpus for the molecular plant sciences

Prediction of plant complex traits via integration of multi-omics data

Lignin Biosynthesis Gene Expression Is Associated with Age-related Resistance of Winter Squash to Phytophthora capsici

Evolution and diversification of the ACT-like domain associated with plant basic helix–loop–helix transcription factors

Challenges and opportunities to build quantitative self-confidence in biologists

Evolution of research topics and paradigms in plant sciences

Evolutionary analysis of the LORELEI gene family in plants reveals regulatory subfunctionalization

Shin-Han Shiu Information

University

Position

Professor of Plant Biology and Computational Math. Sci. & Engr.

Citations(all)

18230

Citations(since 2020)

7521

Cited By

13911

hIndex(all)

61

hIndex(since 2020)

45

i10Index(all)

90

i10Index(since 2020)

85

Email

University Profile Page

Google Scholar

Shin-Han Shiu Skills & Research Interests

Molecular evolution

plant science

stress biology

computational genomics

artificial intelligence

Top articles of Shin-Han Shiu

Effect of wastewater collection and concentration methods on assessment of viral diversity

Science of The Total Environment

2024/1/15

Shin-Han Shiu
Shin-Han Shiu

H-Index: 43

Irene Xagoraraki
Irene Xagoraraki

H-Index: 24

Plant Science Knowledge Graph Corpus: a gold standard entity and relation corpus for the molecular plant sciences

in silico Plants

2024/1/1

Mohammad Ghassemi
Mohammad Ghassemi

H-Index: 1

Shin-Han Shiu
Shin-Han Shiu

H-Index: 43

Prediction of plant complex traits via integration of multi-omics data

bioRxiv

2023/11/14

Peipei Wang
Peipei Wang

H-Index: 11

Shin-Han Shiu
Shin-Han Shiu

H-Index: 43

Lignin Biosynthesis Gene Expression Is Associated with Age-related Resistance of Winter Squash to Phytophthora capsici

Journal of the American Society for Horticultural Science

2023/9/1

Shin-Han Shiu
Shin-Han Shiu

H-Index: 43

Evolution and diversification of the ACT-like domain associated with plant basic helix–loop–helix transcription factors

Proceedings of the National Academy of Sciences

2023/5/9

Yun Sun Lee
Yun Sun Lee

H-Index: 10

Shin-Han Shiu
Shin-Han Shiu

H-Index: 43

Challenges and opportunities to build quantitative self-confidence in biologists

2023/5

Evolution of research topics and paradigms in plant sciences

bioRxiv

2023

Shin-Han Shiu
Shin-Han Shiu

H-Index: 43

Evolutionary analysis of the LORELEI gene family in plants reveals regulatory subfunctionalization

Plant Physiology

2022/12/1

Shin-Han Shiu
Shin-Han Shiu

H-Index: 43

Cyril Zipfel
Cyril Zipfel

H-Index: 67

Temporal regulation of cold transcriptional response in switchgrass

Frontiers in Plant Science

2022/10/10

Peipei Wang
Peipei Wang

H-Index: 11

Shin-Han Shiu
Shin-Han Shiu

H-Index: 43

Regulators of early maize leaf development inferred from transcriptomes of laser capture microdissection (LCM)-isolated embryonic leaf cells

Proceedings of the National Academy of Sciences

2022/8/30

Shin-Han Shiu
Shin-Han Shiu

H-Index: 43

Wen-Hsiung Li
Wen-Hsiung Li

H-Index: 52

High‐throughput measurement of plant fitness traits with an object detection method using Faster R‐CNN

New Phytologist

2022/5

Selection-enriched genomic loci (SEGL) reveals genetic loci for environmental adaptation and photosynthetic productivity in Chlamydomonas reinhardtii

Algal Research

2022/5/1

Shin-Han Shiu
Shin-Han Shiu

H-Index: 43

Computational prediction of plant metabolic pathways

2022/4/1

Peipei Wang
Peipei Wang

H-Index: 11

Shin-Han Shiu
Shin-Han Shiu

H-Index: 43

The SEEL motif and members of the MYB-related REVEILLE transcription factor family are important for the expression of LORELEI in the synergid cells of the Arabidopsis female …

Plant Reproduction

2022/3/1

Shin-Han Shiu
Shin-Han Shiu

H-Index: 43

Modeling temporal and hormonal regulation of plant transcriptional response to wounding

The Plant Cell

2022/2/1

Impact of short-read sequencing on the misassembly of a plant genome

BMC genomics

2021/12

Peipei Wang
Peipei Wang

H-Index: 11

Shin-Han Shiu
Shin-Han Shiu

H-Index: 43

Predictive Models of Genetic Redundancy in Arabidopsis thaliana

Molecular Biology and Evolution

2021/8/1

Overcoming the challenges to enhancing experimental plant biology with computational modeling

2021/7/20

Shin-Han Shiu
Shin-Han Shiu

H-Index: 43

Alexander Bucksch
Alexander Bucksch

H-Index: 16

High throughput measurement of Arabidopsis thaliana fitness traits using deep learning

bioRxiv

2021/7/1

Optimising the use of gene expression data to predict plant metabolic pathway memberships

New Phytologist

2021/7

See List of Professors in Shin-Han Shiu University(Michigan State University)

Co-Authors

academic-engine