Yixuan Qiu

704 total citations
17 papers, 224 citations indexed

About

Yixuan Qiu is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yixuan Qiu has authored 17 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yixuan Qiu's work include Generative Adversarial Networks and Image Synthesis (4 papers), Gaussian Processes and Bayesian Inference (3 papers) and Single-cell and spatial transcriptomics (2 papers). Yixuan Qiu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Gaussian Processes and Bayesian Inference (3 papers) and Single-cell and spatial transcriptomics (2 papers). Yixuan Qiu collaborates with scholars based in United States, China and Australia. Yixuan Qiu's co-authors include Michael Inouye, Gad Abraham, Jing Lei, Kathryn Roeder, Xiao Wang, Jiebiao Wang, Libao Deng, Chunlei Li, Wenyin Gong and Lingsong Zhang and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Expert Systems with Applications.

In The Last Decade

Yixuan Qiu

12 papers receiving 223 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yixuan Qiu United States 5 121 68 15 14 11 17 224
Alex Diaz-Papkovich Canada 6 103 0.9× 101 1.5× 23 1.5× 8 0.6× 2 0.2× 7 283
Brielin C. Brown United States 7 193 1.6× 70 1.0× 17 1.1× 17 1.2× 1 0.1× 10 263
Junyang Qian United States 6 105 0.9× 78 1.1× 11 0.7× 15 1.1× 6 198
Hervé Perdry France 13 138 1.1× 85 1.3× 12 0.8× 18 1.3× 48 441
Ajay Nadig United States 6 69 0.6× 57 0.8× 4 0.3× 10 0.7× 8 205
Louis Lello United States 11 238 2.0× 87 1.3× 12 0.8× 19 1.4× 18 409
Kelsey Grinde United States 7 115 1.0× 49 0.7× 3 0.2× 26 1.9× 13 193
Anastasia L. Wise United States 6 212 1.8× 99 1.5× 9 0.6× 18 1.3× 8 339
Samuela Pollack United States 6 323 2.7× 152 2.2× 8 0.5× 19 1.4× 8 440

Countries citing papers authored by Yixuan Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Yixuan Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yixuan Qiu

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

All Works

17 of 17 papers shown
1.
Gao, Ting, et al.. (2025). ReLU-ReHU Representations of Piecewise Linear-Quadratic Losses. Journal of Data Science. 648–658.
2.
3.
Deng, Libao, et al.. (2025). A knowledge-driven memetic algorithm for distributed green flexible job shop scheduling considering the endurance of machines. Applied Soft Computing. 170. 112697–112697. 5 indexed citations
4.
Deng, Libao, et al.. (2024). A dynamic decision-driven memetic algorithm for fuzzy distributed hybrid flow shop rescheduling considering quality control. Expert Systems with Applications. 257. 125002–125002. 3 indexed citations
5.
Lin, Kevin, Yixuan Qiu, & Kathryn Roeder. (2024). eSVD-DE: cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddings. BMC Bioinformatics. 25(1). 113–113. 1 indexed citations
6.
Qiu, Yixuan, et al.. (2024). Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks. Journal of the American Statistical Association. 120(550). 1254–1266. 1 indexed citations
7.
Qiu, Yixuan & Xiao Wang. (2023). Efficient Multimodal Sampling via Tempered Distribution Flow. Journal of the American Statistical Association. 119(546). 1446–1460.
8.
9.
Qiu, Yixuan, Jing Lei, & Kathryn Roeder. (2022). Gradient-based sparse principal component analysis with extensions to online learning. Biometrika. 110(2). 339–360. 4 indexed citations
10.
Qiu, Yixuan, Jiebiao Wang, Jing Lei, & Kathryn Roeder. (2021). Identification of cell-type-specific marker genes from co-expression patterns in tissue samples. Bioinformatics. 37(19). 3228–3234. 15 indexed citations
11.
Qiu, Yixuan, Lingsong Zhang, & Xiao Wang. (2020). Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models. International Conference on Learning Representations. 3 indexed citations
12.
Qiu, Yixuan & Xiao Wang. (2020). Stochastic Approximate Gradient Descent via the Langevin Algorithm. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 5428–5435.
13.
Qiu, Yixuan, et al.. (2019). Solvers for Large-Scale Eigenvalue and SVD Problems [R package RSpectra version 0.16-0]. 5 indexed citations
14.
Qiu, Yixuan & Xiao Wang. (2019). ALMOND: Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion. Journal of the American Statistical Association. 116(535). 1224–1236. 8 indexed citations
15.
Qiu, Yixuan, Lingsong Zhang, & Chuanhai Liu. (2018). Exact and efficient inference for partial Bayes problems. Electronic Journal of Statistics. 12(2). 1 indexed citations
16.
Abraham, Gad, Yixuan Qiu, & Michael Inouye. (2017). FlashPCA2: principal component analysis of Biobank-scale genotype datasets. Bioinformatics. 33(17). 2776–2778. 175 indexed citations
17.
Qiu, Yixuan. (2015). showtext: Using System Fonts in R Graphics. The R Journal. 7(1). 99–99. 3 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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