Ye Yuan

5.4k total citations · 2 hit papers
65 papers, 3.4k citations indexed

About

Ye Yuan is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ye Yuan has authored 65 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Ye Yuan's work include Single-cell and spatial transcriptomics (8 papers), Gene expression and cancer classification (8 papers) and Spine and Intervertebral Disc Pathology (6 papers). Ye Yuan is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Gene expression and cancer classification (8 papers) and Spine and Intervertebral Disc Pathology (6 papers). Ye Yuan collaborates with scholars based in China, United States and United Kingdom. Ye Yuan's co-authors include Panqu Wang, Garrison W. Cottrell, Zehua Huang, Xiaodi Hou, Ding Liu, Pengfei Chen, Ziv Bar‐Joseph, Yang Yang, Wuyang Chen and Tianlong Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Ye Yuan

59 papers receiving 3.3k 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.

Understanding Convolution for Semantic Segmentation

2018 1.4k citations Panqu Wang, Pengfei Chen et al. profile →
ABD-Net: Attentive but Diverse Person Re-Identification

2019 360 citations Ye Yuan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ye Yuan China	25	1.4k	924	422	329	310	65	3.4k
Zoltán Benyó Hungary	35	412 0.3×	1.2k 1.3×	195 0.5×	427 1.3×	183 0.6×	225	4.8k
Changming Sun Australia	38	2.3k 1.7×	776 0.8×	580 1.4×	259 0.8×	603 1.9×	243	4.8k
Dejun Zhang China	33	672 0.5×	792 0.9×	461 1.1×	199 0.6×	116 0.4×	197	3.3k
Chunxia Zhao China	30	914 0.7×	600 0.6×	512 1.2×	110 0.3×	210 0.7×	233	3.1k
Xiaofei He China	31	3.1k 2.3×	1.9k 2.1×	777 1.8×	374 1.1×	820 2.6×	96	7.2k
Douglas A. Gray Australia	36	953 0.7×	2.9k 3.2×	360 0.9×	467 1.4×	85 0.3×	213	6.8k
Qiong Cao China	15	1.7k 1.3×	1.2k 1.3×	455 1.1×	67 0.2×	146 0.5×	45	5.8k
Yun Zhai China	31	1.2k 0.9×	1.1k 1.2×	153 0.4×	169 0.5×	196 0.6×	183	3.9k
Yoshihiko Hamamoto Japan	27	400 0.3×	889 1.0×	329 0.8×	118 0.4×	133 0.4×	126	2.9k
Hyunsoo Kim South Korea	34	356 0.3×	1.8k 1.9×	274 0.6×	401 1.2×	50 0.2×	179	4.4k

Countries citing papers authored by Ye Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Ye Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Yuan. A scholar is included among the top collaborators of Ye Yuan 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 Ye Yuan. Ye Yuan 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

Zeng, Weibiao, et al.. (2025). Modified diaphragmatic plication prevents and rectifies dyspnea with diaphragmatic eventration caused by phrenicotomy or injuries associated with extended mediastinal surgeries. International Journal of Surgery. 111(8). 4993–5001.

Li, Zhao, et al.. (2025). ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion. IEEE Transactions on Knowledge and Data Engineering. 37(9). 5049–5062. 1 indexed citations

Pan, Xiaoyong, et al.. (2025). Integration of multi-source gene interaction networks and omics data with graph attention networks to identify novel disease genes. Bioinformatics. 41(7).

Pan, Xiaoyong, et al.. (2024). Predicting transcriptional changes induced by molecules with MiTCP. Briefings in Bioinformatics. 26(1).

Yuan, Ye, Bo Tang, Tianfei Zhou, Zhiwei Zhang, & Jianbin Qin. (2024). nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems. Proceedings of the VLDB Endowment. 17(11). 3283–3289. 1 indexed citations

Pan, Xiaoyong, et al.. (2024). TFvelo: gene regulation inspired RNA velocity estimation. Nature Communications. 15(1). 1387–1387. 14 indexed citations

Jiang, Yan, et al.. (2024). Box-spoof attack against single object tracking. Applied Intelligence. 54(2). 1585–1601. 2 indexed citations

Li, Haiyue, Jing Xie, Cheng Jin, et al.. (2023). CRCS: An automatic image processing pipeline for hormone level analysis of Cushing’s disease. Methods. 222. 28–40. 1 indexed citations

Xia, Ying, et al.. (2023). ZeroBind: a protein-specific zero-shot predictor with subgraph matching for drug-target interactions. Nature Communications. 14(1). 7861–7861. 29 indexed citations

10.

Chen, Siheng, et al.. (2022). Cell clustering for spatial transcriptomics data with graph neural networks. Nature Computational Science. 2(6). 399–408. 114 indexed citations

11.

Yuan, Ye, Carlos Cosme, Taylor Adams, et al.. (2022). CINS: Cell Interaction Network inference from Single cell expression data. PLoS Computational Biology. 18(9). e1010468–e1010468. 6 indexed citations

12.

Lu, Zhenyu, Yurong Cheng, Mingjun Zhong, et al.. (2022). LightNILM. 383–387. 7 indexed citations

13.

Yuan, Ye, Yanxia Wu, Yanxia Wu, et al.. (2021). An Advanced SAR Image Despeckling Method by Bernoulli-Sampling-Based Self-Supervised Deep Learning. Remote Sensing. 13(18). 3636–3636. 14 indexed citations

14.

Yuan, Ye & Ziv Bar‐Joseph. (2021). Deep learning of gene relationships from single cell time-course expression data. Briefings in Bioinformatics. 22(5). 27 indexed citations

15.

Yang, Shuming, Ye Yuan, Teng Wang, et al.. (2021). Accurate and dynamic 3D shape measurement with digital image correlation-assisted phase shifting. Measurement Science and Technology. 32(7). 75204–75204. 16 indexed citations

16.

Yuan, Ye, Jian Guan, Pengming Feng, & Yanxia Wu. (2020). A Practical Solution for SAR Despeckling With Adversarial Learning Generated Speckled-to-Speckled Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 11 indexed citations

17.

Yuan, Ye & Ziv Bar‐Joseph. (2019). Deep learning for inferring gene relationships from single-cell expression data. Proceedings of the National Academy of Sciences. 116(52). 27151–27158. 156 indexed citations

18.

Wang, Panqu, Pengfei Chen, Ye Yuan, et al.. (2018). Understanding Convolution for Semantic Segmentation. 1451–1460. 1366 indexed citations breakdown →

19.

Zheng, Yuehuan, Yazhou Lin, Zhe Chen, et al.. (2018). Propionibacterium acnes induces intervertebral discs degeneration by increasing MMP-1 and inhibiting TIMP-1 expression via the NF-κB pathway.. PubMed. 11(7). 3445–3453. 6 indexed citations

20.

Yuan, Ye, et al.. (2016). A quantitative understanding of microRNA‐ mediated competing endogenous RNA regulation. Quantitative Biology. 4(1). 47–57. 14 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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