Rui Yan

2.0k total citations · 1 hit paper
42 papers, 1.1k citations indexed

About

Rui Yan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Rui Yan has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Molecular Biology. Recurrent topics in Rui Yan's work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Reproductive Biology and Fertility (4 papers). Rui Yan is often cited by papers focused on AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Reproductive Biology and Fertility (4 papers). Rui Yan collaborates with scholars based in China, United States and India. Rui Yan's co-authors include Fa Zhang, Fan Guo, Fei Ren, Chun-Hou Zheng, Chan Gu, Xiaosong Rao, Zihao Wang, Lihua Wang, Yudong Liu and Tong Zhang and has published in prestigious journals such as Nature, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Rui Yan

40 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Off-target RNA mutation induced by DNA base editing and its elimination by mutagenesis

2019 343 citations Changyang Zhou, Yidi Sun et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rui Yan China	15	543	396	275	186	133	42	1.1k
Fayyaz Minhas United Kingdom	21	507 0.9×	536 1.4×	419 1.5×	186 1.0×	25 0.2×	72	1.4k
Wenjie Shu China	21	1.2k 2.1×	150 0.4×	109 0.4×	57 0.3×	141 1.1×	52	1.7k
Pegah Khosravi United States	14	316 0.6×	439 1.1×	398 1.4×	102 0.5×	41 0.3×	25	1.3k
Tao Meng China	17	376 0.7×	201 0.5×	257 0.9×	152 0.8×	44 0.3×	58	1.1k
Mingon Kang United States	17	457 0.8×	246 0.6×	176 0.6×	74 0.4×	69 0.5×	68	984
Pekka Ruusuvuori Finland	22	496 0.9×	378 1.0×	203 0.7×	266 1.4×	35 0.3×	80	1.3k
Ken Asada Japan	22	521 1.0×	222 0.6×	335 1.2×	52 0.3×	35 0.3×	44	1.3k
Nikolas Pontikos United Kingdom	25	905 1.7×	141 0.4×	731 2.7×	81 0.4×	335 2.5×	100	2.0k
Alexandre H. Thiéry Singapore	16	429 0.8×	274 0.7×	259 0.9×	94 0.5×	98 0.7×	46	1.2k

Countries citing papers authored by Rui Yan

Since Specialization

Citations

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

Fields of papers citing papers by Rui Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Yan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yan, Rui, et al.. (2025). Pathway-Aware Multimodal Transformer (PAMT): Integrating Pathological Image and Gene Expression for Interpretable Cancer Survival Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(1). 896–913.

Zhang, Ting, et al.. (2025). Multi-frequency superposed vortex-induced vibration modeling based on multiple Fourier features physics-informed neural network. Thin-Walled Structures. 212. 113159–113159. 2 indexed citations

Liu, Siyao, et al.. (2024). Review of deep learning-based pathological image classification: From task-specific models to foundation models. Future Generation Computer Systems. 164. 107578–107578. 6 indexed citations

Zhang, Qiancheng, Donghong Zhao, Ran Zhu, et al.. (2024). The evolution of ovarian somatic cells characterized by transcriptome and chromatin accessibility across rodents, monkeys, and humans. PubMed. 3(5). lnae028–lnae028. 2 indexed citations

Zhang, Xiaojie, Rui Yan, Juan Gao, et al.. (2024). Auto-suppression of Tet dioxygenases protects the mouse oocyte genome from oxidative demethylation. Nature Structural & Molecular Biology. 31(1). 42–53. 7 indexed citations

Zhang, Ting, et al.. (2024). Application of Fourier feature physics-information neural network in model of pipeline conveying fluid. Thin-Walled Structures. 198. 111693–111693. 9 indexed citations

Liu, Jiahao, et al.. (2024). What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 18082–18089. 1 indexed citations

Yan, Rui, et al.. (2024). Transformer-Based Multi-Scale Fusion for Robust Predicting Microsatellite Instability from Pathological Images. 2046–2053.

Yan, Rui, Xueyuan Zhang, Jun Wang, et al.. (2023). Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning. Medical Image Analysis. 87. 102824–102824. 25 indexed citations

10.

Yan, Rui, Xin Cheng, Chan Gu, et al.. (2022). Dynamics of DNA hydroxymethylation and methylation during mouse embryonic and germline development. Nature Genetics. 55(1). 130–143. 65 indexed citations

11.

Hao, Yu, Xiaohua Wan, Rui Yan, et al.. (2022). VP-Detector: A 3D multi-scale dense convolutional neural network for macromolecule localization and classification in cryo-electron tomograms. Computer Methods and Programs in Biomedicine. 221. 106871–106871. 7 indexed citations

12.

Qian, Jingjing, Ran Zhu, Rui Yan, Xin Long, & Fan Guo. (2022). Isolation of mouse ovarian follicles for single-cell RNA-seq and in vitro culture. STAR Protocols. 3(3). 101537–101537. 3 indexed citations

13.

Yan, Rui, et al.. (2021). Research Progress of Cancer Classification Based on Deep Learning and Histopathological Images. SHILAP Revista de lepidopterología. 1 indexed citations

14.

Yan, Rui, Chan Gu, Di You, et al.. (2021). Decoding dynamic epigenetic landscapes in human oocytes using single-cell multi-omics sequencing. Cell stem cell. 28(9). 1641–1656.e7. 82 indexed citations

15.

Yan, Rui, Xin Cheng, & Fan Guo. (2021). Protocol for scChaRM-seq: Simultaneous profiling of gene expression, DNA methylation, and chromatin accessibility in single cells. STAR Protocols. 2(4). 100972–100972. 6 indexed citations

16.

Yan, Rui, Fa Zhang, Xiaosong Rao, et al.. (2021). Richer fusion network for breast cancer classification based on multimodal data. BMC Medical Informatics and Decision Making. 21(S1). 134–134. 50 indexed citations

17.

Long, Xin, Qiuyun Yang, Jingjing Qian, et al.. (2021). Obesity modulates cell-cell interactions during ovarian folliculogenesis. iScience. 25(1). 103627–103627. 15 indexed citations

18.

Yan, Rui, Jintao Li, Xiaosong Rao, et al.. (2020). NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images. 865–870. 11 indexed citations

19.

Yan, Rui, Fei Ren, Zihao Wang, et al.. (2019). Breast cancer histopathological image classification using a hybrid deep neural network. Methods. 173. 52–60. 242 indexed citations

20.

Zhou, Changyang, Yidi Sun, Rui Yan, et al.. (2019). Off-target RNA mutation induced by DNA base editing and its elimination by mutagenesis. Nature. 571(7764). 275–278. 343 indexed citations breakdown →

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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