Chia‐Yi Cheng

3.1k total citations · 1 hit paper
31 papers, 2.0k citations indexed

About

Chia‐Yi Cheng is a scholar working on Plant Science, Molecular Biology and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Chia‐Yi Cheng has authored 31 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 9 papers in Molecular Biology and 7 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Chia‐Yi Cheng's work include Plant Molecular Biology Research (8 papers), Plant nutrient uptake and metabolism (6 papers) and Job Satisfaction and Organizational Behavior (5 papers). Chia‐Yi Cheng is often cited by papers focused on Plant Molecular Biology Research (8 papers), Plant nutrient uptake and metabolism (6 papers) and Job Satisfaction and Organizational Behavior (5 papers). Chia‐Yi Cheng collaborates with scholars based in Taiwan, United States and Chile. Chia‐Yi Cheng's co-authors include Vivek Krishnakumar, Christopher D. Town, Agnes P. Chan, Seth Schobel, Françoise Thibaud‐Nissen, Hsiang‐Lan Chen, Wen‐Tsung Hsu, Joseph J. Kieber, G. Eric Schaller and Carly M. Shanks and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Chia‐Yi Cheng

27 papers receiving 1.9k citations

Hit Papers

Araport11: a complete reannotation of the Arabidopsis tha... 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chia‐Yi Cheng Taiwan 14 1.1k 1.0k 255 189 121 31 2.0k
Peng Wan China 22 997 0.9× 754 0.7× 250 1.0× 177 0.9× 56 0.5× 72 1.9k
Isabel Gómez Mexico 35 1.5k 1.3× 3.2k 3.2× 124 0.5× 35 0.2× 56 0.5× 130 4.8k
Jamie Snider Canada 24 383 0.3× 1.5k 1.5× 335 1.3× 62 0.3× 91 0.8× 47 2.5k
Evan Starr United States 19 472 0.4× 315 0.3× 157 0.6× 217 1.1× 48 0.4× 56 1.6k
Minkyun Kim South Korea 28 1.5k 1.3× 1.4k 1.4× 405 1.6× 34 0.2× 68 0.6× 94 3.3k
Zhicheng Dong China 19 2.3k 2.1× 2.0k 2.0× 188 0.7× 37 0.2× 43 0.4× 56 3.4k
Qingyuan Li China 21 347 0.3× 439 0.4× 494 1.9× 1.1k 5.7× 32 0.3× 57 2.0k
James W. Walker United States 28 563 0.5× 1.1k 1.1× 63 0.2× 28 0.1× 173 1.4× 95 2.7k
Christian Eckert Germany 17 431 0.4× 482 0.5× 97 0.4× 75 0.4× 22 0.2× 34 1.2k
Shenghui Ma China 9 693 0.6× 604 0.6× 112 0.4× 94 0.5× 103 0.9× 14 1.1k

Countries citing papers authored by Chia‐Yi Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Yi Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Yi Cheng. 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 Chia‐Yi Cheng. The network helps show where Chia‐Yi Cheng may publish in the future.

Co-authorship network of co-authors of Chia‐Yi Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Yi Cheng. A scholar is included among the top collaborators of Chia‐Yi Cheng 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 Chia‐Yi Cheng. Chia‐Yi Cheng 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.
Cheng, Chia‐Yi, Markus Schmid, Dierk Wanke, et al.. (2025). Role of BASIC PENTACYSTEINE transcription factors in a subset of cytokinin signaling responses. UNC Libraries.
2.
Huang, Ji, et al.. (2025). Model-to-crop conserved NUE Regulons enhance machine learning predictions of nitrogen use efficiency. The Plant Cell. 37(5). 1 indexed citations
3.
Yen, Ming‐Ren, Yaru Li, Chia‐Yi Cheng, Ting‐Ying Wu, & Ming‐Jung Liu. (2025). TISCalling: leveraging machine learning to identify translational initiation sites in plants and viruses. Plant Molecular Biology. 115(4). 102–102.
4.
Shanks, Carly M., Matthew D. Brooks, Chia‐Yi Cheng, et al.. (2024). Nitrogen sensing and regulatory networks: it's about time and space. The Plant Cell. 36(5). 1482–1503. 18 indexed citations
5.
Cheng, Chia‐Yi, et al.. (2023). Exploring the distribution of organic farming: Findings from certified rice in Taiwan. Ecological Economics. 212. 107915–107915. 3 indexed citations
6.
Shanks, Carly M., Ji Huang, Chia‐Yi Cheng, et al.. (2022). Validation of a high-confidence regulatory network for gene-to-NUE phenotype in field-grown rice. Frontiers in Plant Science. 13. 1006044–1006044. 7 indexed citations
7.
Cheng, Chia‐Yi, Ying Li, Kranthi Varala, et al.. (2021). Evolutionarily informed machine learning enhances the power of predictive gene-to-phenotype relationships. Nature Communications. 12(1). 5627–5627. 68 indexed citations
8.
Acheampong, Atiako Kwame, Carly M. Shanks, Chia‐Yi Cheng, et al.. (2020). EXO70D isoforms mediate selective autophagic degradation of type-A ARR proteins to regulate cytokinin sensitivity. Proceedings of the National Academy of Sciences. 117(43). 27034–27043. 44 indexed citations
9.
Anna, Tulsi, et al.. (2019). Elucidation of microstructural changes in leaves during senescence using spectral domain optical coherence tomography. Scientific Reports. 9(1). 1167–1167. 22 indexed citations
10.
Cheng, Chia‐Yi, et al.. (2019). Financial services and ethical hazards: antecedents of repeated ethical violation. European Journal of Marketing. 53(4). 758–784. 11 indexed citations
11.
Chan, Hui-Ling, Po‐Chih Kuo, Chia‐Yi Cheng, & Yong‐Sheng Chen. (2018). Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition. Frontiers in Neuroinformatics. 12. 66–66. 69 indexed citations
12.
Cheng, Chia‐Yi, Vivek Krishnakumar, Agnes P. Chan, et al.. (2016). Araport11: a complete reannotation of the Arabidopsis thaliana reference genome. The Plant Journal. 89(4). 789–804. 804 indexed citations breakdown →
13.
Krishnakumar, Vivek, Sergio Contrino, Chia‐Yi Cheng, et al.. (2016). ThaleMine: A Warehouse for Arabidopsis Data Integration and Discovery. Plant and Cell Physiology. 58(1). pcw200–pcw200. 30 indexed citations
14.
Yu, Chwo‐Ming Joseph, et al.. (2015). Relational Management Mechanisms for Strategic Alliances Among Nonprofit Organizations. VOLUNTAS International Journal of Voluntary and Nonprofit Organizations. 27(5). 2458–2489. 3 indexed citations
15.
Cheng, Chia‐Yi, et al.. (2015). Effects of learning orientation and team embeddedness on mobility. Cross Cultural Management An International Journal. 22(4). 570–593. 2 indexed citations
16.
Krishnakumar, Vivek, Matthew Hanlon, Sergio Contrino, et al.. (2014). Araport: the Arabidopsis Information Portal. Nucleic Acids Research. 43(D1). D1003–D1009. 151 indexed citations
17.
Cheng, Chia‐Yi. (2013). A longitudinal study of newcomer job embeddedness and sales outcomes for life insurance salespersons. Journal of Business Research. 67(7). 1430–1438. 23 indexed citations
18.
Cheng, Chia‐Yi, et al.. (2013). Who would engage in unethical behavior? Should organizations bear the responsibility?. Quality & Quantity. 48(4). 2341–2354. 12 indexed citations
19.
Cheng, Chia‐Yi, et al.. (2011). Effects of school team embeddedness on team trust and potency. Quality & Quantity. 47(4). 1851–1868. 4 indexed citations
20.
Cheng, Chia‐Yi, Cha’o-Kuang Chen, & Yue-Tzu Yang. (2009). Numerical Study of Residual Correction Method Applied to Non-linear Heat Transfer Problem. Computer Modeling in Engineering & Sciences. 44(3). 203–218. 1 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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