Yichen Cheng

625 total citations
31 papers, 400 citations indexed

About

Yichen Cheng is a scholar working on Artificial Intelligence, Genetics and Molecular Biology. According to data from OpenAlex, Yichen Cheng has authored 31 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Yichen Cheng's work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Gene expression and cancer classification (4 papers) and GABA and Rice Research (4 papers). Yichen Cheng is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (4 papers), Gene expression and cancer classification (4 papers) and GABA and Rice Research (4 papers). Yichen Cheng collaborates with scholars based in United States, China and Taiwan. Yichen Cheng's co-authors include Faming Liang, Yusen Xia, Yih‐Ron Lien, Yu‐Shih Yang, Shee‐Uan Chen, Hong‐Nerng Ho, Hsin‐Fu Chen, Aaron Baird, Qifan Song and Ping Yang and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and PLoS ONE.

In The Last Decade

Yichen Cheng

30 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yichen Cheng United States 11 122 101 91 53 48 31 400
Michael S. Ringel Switzerland 10 97 0.8× 130 1.3× 15 0.2× 76 1.4× 22 0.5× 32 765
Pedro Lopes Portugal 11 54 0.4× 135 1.3× 50 0.5× 33 0.6× 10 0.2× 30 340
Lauren B. Becnel United States 10 76 0.6× 126 1.2× 10 0.1× 58 1.1× 27 0.6× 18 437
Huey‐Miin Hsueh Taiwan 13 18 0.1× 338 3.3× 8 0.1× 44 0.8× 258 5.4× 23 730
Martin Lablans Germany 12 132 1.1× 105 1.0× 41 0.5× 109 2.1× 7 0.1× 38 473
Nicola Lunardon Italy 5 19 0.2× 51 0.5× 3 0.0× 98 1.8× 46 1.0× 11 409
Lada Leyens Netherlands 9 43 0.4× 105 1.0× 6 0.1× 10 0.2× 9 0.2× 19 307
Kaushik Ghosh United States 10 16 0.1× 20 0.2× 4 0.0× 49 0.9× 123 2.6× 27 376
Seungyeoun Lee South Korea 16 14 0.1× 360 3.6× 5 0.1× 56 1.1× 72 1.5× 60 751
Jill Muehling United States 6 258 2.1× 217 2.1× 8 0.1× 370 7.0× 29 0.6× 6 889

Countries citing papers authored by Yichen Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yichen Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yichen Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yichen Cheng. A scholar is included among the top collaborators of Yichen 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 Yichen Cheng. Yichen 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.
Baird, Aaron, et al.. (2025). A Causal Machine Learning Framework for Estimating the Impact of Cancer Diagnosis on Receipt of Advance Care Planning. Health Services Research. 61(2). e70039–e70039. 1 indexed citations
2.
Yin, Man, Xiaohong Tong, Yichen Cheng, et al.. (2024). Dissecting the Genetic Basis of Yield Traits and Validation of a Novel Quantitative Trait Locus for Grain Width and Weight in Rice. Plants. 13(6). 770–770. 2 indexed citations
3.
Cheng, Yichen, Yusen Xia, & Xinlei Wang. (2023). Bayesian multitask learning for medicine recommendation based on online patient reviews. Bioinformatics. 39(8). 3 indexed citations
4.
Cao, Sean, et al.. (2023). Visual Information in the Age of AI: Evidence from Corporate Executive Presentations. SSRN Electronic Journal. 2 indexed citations
5.
Cheng, Yichen, et al.. (2023). Maximizing Online Revisiting and Purchasing: A Clickstream-Based Approach to Enhancing Customer Lifetime Value. Journal of Management Information Systems. 40(2). 470–502. 9 indexed citations
6.
Baird, Aaron, Yichen Cheng, & Yusen Xia. (2022). Use of machine learning to examine disparities in completion of substance use disorder treatment. PLoS ONE. 17(9). e0275054–e0275054. 12 indexed citations
7.
Baird, Aaron, Yichen Cheng, & Yusen Xia. (2022). Telehealth Adoption and Discontinuation by US Hospitals: Results From 2 Quasi-Natural Experiments. JMIR Formative Research. 6(2). e28979–e28979. 3 indexed citations
8.
Baird, Aaron, Yusen Xia, & Yichen Cheng. (2022). Consumer perceptions of telehealth for mental health or substance abuse: a Twitter-based topic modeling analysis. JAMIA Open. 5(2). ooac028–ooac028. 23 indexed citations
9.
Cheng, Yichen, et al.. (2021). Jackknife empirical likelihood confidence intervals for assessing heterogeneity in meta-analysis of rare binary event data. Contemporary Clinical Trials. 107. 106440–106440. 4 indexed citations
10.
Cheng, Yichen, Man Yin, Yifeng Wang, et al.. (2021). Verification and dissection of one quantitative trait locus for grain size and weight on chromosome 1 in rice. Scientific Reports. 11(1). 18252–18252. 2 indexed citations
11.
12.
Wang, Yifeng, Lijuan Chen, Huimei Wang, et al.. (2021). Posttranslational Modification of Waxy to Genetically Improve Starch Quality in Rice Grain. International Journal of Molecular Sciences. 22(9). 4845–4845. 18 indexed citations
13.
Cheng, Yichen, Xinlei Wang, & Yusen Xia. (2020). Supervisedt-Distributed Stochastic Neighbor Embedding for Data Visualization and Classification. INFORMS journal on computing. 33(2). 419–835. 12 indexed citations
14.
Kundu, Suprateek, et al.. (2018). Bayesian variable selection with graphical structure learning: Applications in integrative genomics. PLoS ONE. 13(7). e0195070–e0195070. 8 indexed citations
15.
Cheng, Yichen, James Y. Dai, Thomas G. Paulson, et al.. (2017). Quantification of multiple tumor clones using gene array and sequencing data. The Annals of Applied Statistics. 11(2). 967–991. 5 indexed citations
16.
Wang, Xiaoyu, Xiaohong Li, Yichen Cheng, et al.. (2015). Copy number alterations detected by whole-exome and whole-genome sequencing of esophageal adenocarcinoma. Human Genomics. 9(1). 22–22. 20 indexed citations
17.
Liang, Faming, Yichen Cheng, & Guang Lin. (2014). Simulated Stochastic Approximation Annealing for Global Optimization With a Square-Root Cooling Schedule. Journal of the American Statistical Association. 109(506). 847–863. 19 indexed citations
18.
Cheng, Yichen, Xin Gao, & Faming Liang. (2013). Bayesian Peak Picking for NMR Spectra. Genomics Proteomics & Bioinformatics. 12(1). 39–47. 24 indexed citations
19.
Smith, Matthew Lee, Angela K. Hochhalter, Yichen Cheng, Suojin Wang, & Marcia G. Ory. (2011). Programmatic influences on outcomes of an evidence-based fall prevention program for older adults: a translational assessment. Translational Behavioral Medicine. 1(3). 384–393. 16 indexed citations
20.

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

Breakdown of academic impact, for papers by Michael S. Ringel Breakdown of academic impact, for papers by Pedro Lopes Breakdown of academic impact, for papers by Lauren B. Becnel Breakdown of academic impact, for papers by Huey‐Miin Hsueh Breakdown of academic impact, for papers by Martin Lablans Breakdown of academic impact, for papers by Nicola Lunardon Breakdown of academic impact, for papers by Lada Leyens Breakdown of academic impact, for papers by Kaushik Ghosh Breakdown of academic impact, for papers by Seungyeoun Lee Breakdown of academic impact, for papers by Jill Muehling
Rankless by CCL
2026