Shan Yang

744 total citations · 1 hit paper
34 papers, 423 citations indexed

About

Shan Yang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Shan Yang has authored 34 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Shan Yang's work include Digital Imaging for Blood Diseases (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Speech Recognition and Synthesis (2 papers). Shan Yang is often cited by papers focused on Digital Imaging for Blood Diseases (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Speech Recognition and Synthesis (2 papers). Shan Yang collaborates with scholars based in China, United States and United Kingdom. Shan Yang's co-authors include Daolun Li, Ruilan Luo, Yuping Liu, Wenshu Zha, Yanmei Xu, Yujin Wan, Shurong Zhang, Hairui Wang, Chenggong Hu and Dan Zhao and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Medicinal Chemistry and Annals of Oncology.

In The Last Decade

Shan Yang

31 papers receiving 418 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.

Forecasting monthly gas field production based on the CNN-LSTM model

2022 223 citations Shan Yang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shan Yang China	9	67	53	53	47	40	34	423
Wenhao Lai China	11	72 1.1×	45 0.8×	96 1.8×	79 1.7×	47 1.2×	30	416
Jianxin Zhang China	13	93 1.4×	34 0.6×	55 1.0×	55 1.2×	30 0.8×	42	416
Yi Ge China	12	54 0.8×	24 0.5×	42 0.8×	76 1.6×	72 1.8×	71	508
Maulana Azad Iran	6	76 1.1×	25 0.5×	110 2.1×	55 1.2×	56 1.4×	10	484
Zhuang Wu China	11	73 1.1×	18 0.3×	59 1.1×	88 1.9×	37 0.9×	78	481
Zheng Xu China	14	91 1.4×	24 0.5×	110 2.1×	28 0.6×	35 0.9×	73	674
Kai Bian China	10	64 1.0×	33 0.6×	89 1.7×	114 2.4×	58 1.4×	28	374
Feng Hu China	13	83 1.2×	42 0.8×	118 2.2×	132 2.8×	81 2.0×	50	511
Thuc N. Nguyen Australia	10	42 0.6×	53 1.0×	46 0.9×	80 1.7×	66 1.6×	15	726
Jiawei Huang China	12	24 0.4×	29 0.5×	58 1.1×	78 1.7×	71 1.8×	36	466

Countries citing papers authored by Shan Yang

Since Specialization

Citations

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

Fields of papers citing papers by Shan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Yang

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

Yang, Shan, et al.. (2025). Genomic and translational insights into eIF2B-mediated salt tolerance in sea rice HD961. BMC Biology. 23(1). 333–333.

Zhang, Zhiwen, Qian Li, Shanshan Wei, et al.. (2025). Investigating the role of IL-6 in the pathogenesis of systemic lupus erythematosus: Insights from bone marrow mesenchymal stem cells. Lupus. 34(3). 225–233. 1 indexed citations

Wang, Xijun, et al.. (2024). ICAR: Image-Based Complementary Auto Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5633–5641. 1 indexed citations

Yang, Shan, Hairui Wang, Dan Zhao, Shurong Zhang, & Chenggong Hu. (2024). Polymyxins: recent advances and challenges. Frontiers in Pharmacology. 15. 1424765–1424765. 15 indexed citations

Xu, Huan, Lei Song, Shan Yang, et al.. (2023). Loss-of-Function Homozygous Variant in LPL Causes Type I Hyperlipoproteinemia and Renal Lipidosis. Kidney International Reports. 8(11). 2428–2438. 3 indexed citations

Shin, Wonkyo & Shan Yang. (2023). 310P A study on the prediction of recurrence site of endometrial cancer using various machine learning techniques. Annals of Oncology. 34. S1593–S1593.

Xu, Kewei, et al.. (2023). Explorating the mechanism of Huangqin Tang against skin lipid accumulation through network pharmacology and experimental validation. Journal of Ethnopharmacology. 313. 116581–116581. 9 indexed citations

Dan, Tingting, et al.. (2023). AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images. Patterns. 4(9). 100806–100806. 19 indexed citations

Yang, Shan, et al.. (2023). UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13025–13033. 4 indexed citations

10.

Chen, Xing, Shan Yang, Jian Ma, et al.. (2023). Manganese and copper additions differently reduced cadmium uptake and accumulation in dwarf Polish wheat (Triticum polonicum L.). Journal of Hazardous Materials. 448. 130998–130998. 35 indexed citations

11.

Yang, Shan, et al.. (2023). High expression of autophagy-related gene EIF4EBP1 could promote tamoxifen resistance and predict poor prognosis in breast cancer. World Journal of Clinical Cases. 11(20). 4788–4799. 1 indexed citations

12.

Guo, Jie, et al.. (2023). Deep graph learning for spatially-varying indoor lighting prediction. Science China Information Sciences. 66(3). 9 indexed citations

13.

Liu, Peihong, Cong Wei, Hong Zhang, et al.. (2023). Mutations of family with sequence similarity 20‐member C gene causing lethal and nonlethal Raine syndrome causes hypophosphatemia rickets. Journal of Cellular Physiology. 238(11). 2556–2569. 1 indexed citations

14.

Fei, Weidong, Xiaodong Wu, Shan Yang, et al.. (2023). Perturbing plasma membrane lipid: a new paradigm for tumor nanotherapeutics. Theranostics. 13(8). 2471–2491. 15 indexed citations

15.

Yang, Shan, Peng Xian, Yongfei Yang, et al.. (2023). Research of influencing factors on permeability for carbonate rocks based on LBM simulation: A case study of low-permeability gas reservoir of Sinian Dengying Formation in Sichuan Basin. Frontiers in Earth Science. 11. 4 indexed citations

16.

Li, Lei, Junyi Qiu, Liqin Huang, et al.. (2023). Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation. IEEE Transactions on Medical Imaging. 42(12). 3474–3486. 8 indexed citations

17.

Pradella, Maurice, Rita Achermann, Jonathan I. Sperl, et al.. (2022). Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort. Frontiers in Cardiovascular Medicine. 9. 972512–972512. 7 indexed citations

18.

Liu, Taoying, et al.. (2022). Fracture and Damage Evolution of Multiple-Fractured Rock-like Material Subjected to Compression. Materials. 15(12). 4326–4326. 8 indexed citations

19.

Li, Xiaoyu, et al.. (2022). Intention Estimation of Adversarial Spatial Target Based on Fuzzy Inference. Intelligent Automation & Soft Computing. 35(3). 3627–3639. 4 indexed citations

20.

Zhang, Zhengchen, Mei Li, Yuchao Zhang, et al.. (2016). The I2R-NWPU-NTU Text-to-Speech System at Blizzard Challenge 2016. 40–45. 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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