Yuancheng Ye

1.6k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Yuancheng Ye is a scholar working on Computer Vision and Pattern Recognition, Oncology and Surgery. According to data from OpenAlex, Yuancheng Ye has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Oncology and 3 papers in Surgery. Recurrent topics in Yuancheng Ye's work include Human Pose and Action Recognition (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Yuancheng Ye is often cited by papers focused on Human Pose and Action Recognition (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Yuancheng Ye collaborates with scholars based in United States, China and Mexico. Yuancheng Ye's co-authors include Yandong Guo, Yinpeng Chen, Lijuan Wang, Yun Fu, Yue Wu, Zicheng Liu, Yingli Tian, Qing Lin, Matt Huenerfauth and Chonghui Hu and has published in prestigious journals such as Oncogene, Science Translational Medicine and Molecular Cancer.

In The Last Decade

Yuancheng Ye

9 papers receiving 990 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.

Large Scale Incremental Learning

2019 721 citations Yue Wu, Yinpeng Chen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuancheng Ye United States	8	641	449	134	124	85	9	1.0k
Wenhui Wang China	15	505 0.8×	376 0.8×	105 0.8×	32 0.3×	65 0.8×	54	1.1k
Xiao-Yong Wei China	17	499 0.8×	993 2.2×	277 2.1×	188 1.5×	33 0.4×	65	1.5k
Fenglin Liu China	18	586 0.9×	446 1.0×	122 0.9×	44 0.4×	12 0.1×	62	1.2k
Hairong Lv China	19	263 0.4×	145 0.3×	273 2.0×	75 0.6×	32 0.4×	62	891
Yongxin Wang China	21	268 0.4×	947 2.1×	50 0.4×	19 0.2×	20 0.2×	64	1.3k
Xue Wang China	15	129 0.2×	225 0.5×	113 0.8×	32 0.3×	21 0.2×	99	748
Cheng Zhong China	15	202 0.3×	224 0.5×	55 0.4×	36 0.3×	35 0.4×	45	665
Zhong Liu China	14	74 0.1×	233 0.5×	41 0.3×	27 0.2×	27 0.3×	55	657

Countries citing papers authored by Yuancheng Ye

Since Specialization

Citations

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

Fields of papers citing papers by Yuancheng Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuancheng Ye

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

All Works

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9 of 9 papers shown

1.

Lin, Qing, Guolin Li, Qing Tian, et al.. (2024). Extracellular vesicle–packaged PIAT from cancer-associated fibroblasts drives neural remodeling by mediating m5C modification in pancreatic cancer mouse models. Science Translational Medicine. 16(756). eadi0178–eadi0178. 32 indexed citations

2.

Xia, Renpeng, Chonghui Hu, Yuancheng Ye, et al.. (2023). HNF1A regulates oxaliplatin resistance in pancreatic cancer by targeting 53BP1. International Journal of Oncology. 62(4). 9 indexed citations

3.

Zheng, Shangyou, Chonghui Hu, Guolin Li, et al.. (2022). Cancer-associated fibroblast-induced lncRNA UPK1A-AS1 confers platinum resistance in pancreatic cancer via efficient double-strand break repair. Oncogene. 41(16). 2372–2389. 51 indexed citations

4.

Hu, Chonghui, Renpeng Xia, Xiang Zhang, et al.. (2022). circFARP1 enables cancer-associated fibroblasts to promote gemcitabine resistance in pancreatic cancer via the LIF/STAT3 axis. Molecular Cancer. 21(1). 24–24. 107 indexed citations

5.

Wu, Yue, Yinpeng Chen, Lijuan Wang, et al.. (2019). Large Scale Incremental Learning. 374–382. 721 indexed citations breakdown →

6.

Ye, Yuancheng, Xiaodong Yang, & Yingli Tian. (2018). Discovering spatio-temporal action tubes. Journal of Visual Communication and Image Representation. 58. 515–524. 11 indexed citations

7.

Ye, Yuancheng, Yingli Tian, Matt Huenerfauth, & Jingya Liu. (2018). Recognizing American Sign Language Gestures from Within Continuous Videos. 2145–214509. 61 indexed citations

8.

Ye, Yuancheng & Yingli Tian. (2016). Embedding Sequential Information into Spatiotemporal Features for Action Recognition. 101. 1110–1118. 18 indexed citations

9.

Ye, Yuancheng, Xiaodong Yang, & Yingli Tian. (2015). Exploring Pooling Strategies based on Idiosyncrasies of Spatio-Temporal Interest Points. 339–346. 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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