Yang Xiang

2.2k total citations · 1 hit paper
61 papers, 1.2k citations indexed

About

Yang Xiang is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yang Xiang has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 17 papers in Molecular Biology and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yang Xiang's work include Topic Modeling (14 papers), Bioinformatics and Genomic Networks (11 papers) and Natural Language Processing Techniques (9 papers). Yang Xiang is often cited by papers focused on Topic Modeling (14 papers), Bioinformatics and Genomic Networks (11 papers) and Natural Language Processing Techniques (9 papers). Yang Xiang collaborates with scholars based in China, United States and Canada. Yang Xiang's co-authors include Cui Tao, Degui Zhi, Laila Rasmy, Ziqian Xie, Kun Huang, Ruoming Jin, Xiaolong Wang, Xiaolin Zhou, Hongbo Yu and Xiaoliang Gong and has published in prestigious journals such as PLoS ONE, NeuroImage and Expert Systems with Applications.

In The Last Decade

Yang Xiang

53 papers receiving 1.2k citations

Hit Papers

Med-BERT: pretrained contextualized embeddings on large-s... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Xiang China 19 598 313 155 133 94 61 1.2k
Chengsheng Mao United States 19 1.4k 2.3× 268 0.9× 94 0.6× 66 0.5× 44 0.5× 53 2.1k
Zhenxing Xu United States 17 320 0.5× 107 0.3× 112 0.7× 68 0.5× 81 0.9× 51 1.2k
Subramani Mani United States 18 783 1.3× 415 1.3× 153 1.0× 40 0.3× 38 0.4× 36 1.5k
Corey Arnold United States 24 657 1.1× 162 0.5× 123 0.8× 193 1.5× 104 1.1× 105 1.7k
Yungui Huang United States 17 206 0.3× 358 1.1× 68 0.4× 141 1.1× 44 0.5× 72 1.1k
Ramakanth Kavuluru United States 21 803 1.3× 443 1.4× 96 0.6× 19 0.1× 44 0.5× 72 1.4k
Alberto Lavelli Italy 19 1.3k 2.1× 544 1.7× 98 0.6× 18 0.1× 82 0.9× 86 1.8k
Carsten Eickhoff United States 20 710 1.2× 107 0.3× 66 0.4× 26 0.2× 182 1.9× 117 1.8k
Will Bridewell United States 13 831 1.4× 616 2.0× 131 0.8× 54 0.4× 26 0.3× 39 1.3k
Abubakar Abid United States 12 808 1.4× 569 1.8× 52 0.3× 44 0.3× 197 2.1× 22 2.0k

Countries citing papers authored by Yang Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Yang Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Xiang

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

All Works

20 of 20 papers shown
1.
Peng, Bo, Jianquan Zhang, & Yang Xiang. (2025). CDCA8 and its multifaceted role in tumorigenesis. Biomedicine & Pharmacotherapy. 185. 117951–117951.
2.
Xiang, Yang, et al.. (2025). Uncertainty Driven Adaptive Self-Knowledge Distillation for Medical Image Segmentation. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(5). 3455–3468.
3.
Guo, Xutao, et al.. (2024). Accelerating denoising diffusion probabilistic model via truncated inverse processes for medical image segmentation. Computers in Biology and Medicine. 180. 108933–108933.
4.
Chen, Qingcai, et al.. (2024). Learning to Improve Out-of-Distribution Generalization via Self-Adaptive Language Masking. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2739–2750. 1 indexed citations
5.
Zhang, Junjie, et al.. (2024). TSOANet: Time-Sensitive Orthogonal Attention Network for medical event prediction. Artificial Intelligence in Medicine. 153. 102885–102885. 1 indexed citations
6.
Li, Yaxin, Siyu Wang, Li Zhao, et al.. (2024). From Theory to Practice: Challenges and Countermeasures for the Implementation of BIM and Intelligent Construction Technology. International Journal of Education and Humanities. 15(3). 324–332.
7.
Yang, Yanwu, et al.. (2023). CReg-KD: Model refinement via confidence regularized knowledge distillation for brain imaging. Medical Image Analysis. 89. 102916–102916. 9 indexed citations
8.
Qin, Yang, et al.. (2023). BioPRO: Context-Infused Prompt Learning for Biomedical Entity Linking. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 374–385. 1 indexed citations
9.
Zhang, Meng, Jingcheng Du, Yang Xiang, et al.. (2023). Machine learning-based donor permission extraction from informed consent documents. BMC Bioinformatics. 24(S3). 477–477. 3 indexed citations
10.
Xie, Ziqian, et al.. (2022). Issues in Melanoma Detection: Semisupervised Deep Learning Algorithm Development via a Combination of Human and Artificial Intelligence. JMIR Dermatology. 5(4). e39113–e39113. 1 indexed citations
11.
Hu, Baotian, Yang Xiang, Xiaolong Wang, et al.. (2021). A BERT-Based Generation Model to Transform Medical Texts to SQL Queries for Electronic Medical Records: Model Development and Validation. JMIR Medical Informatics. 9(12). e32698–e32698. 10 indexed citations
12.
Rasmy, Laila, Yang Xiang, Ziqian Xie, Cui Tao, & Degui Zhi. (2021). Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction. npj Digital Medicine. 4(1). 86–86. 453 indexed citations breakdown →
13.
Gao, Xiaoxue, Hongbo Yu, Peng Lü, et al.. (2021). The mutuality of social emotions: How the victim's reactive attitude influences the transgressor's emotional responses. NeuroImage. 244. 118631–118631. 6 indexed citations
14.
Xiang, Yang, Jun Xu, Yuqi Si, et al.. (2019). Time-sensitive clinical concept embeddings learned from large electronic health records. BMC Medical Informatics and Decision Making. 19(S2). 58–58. 24 indexed citations
15.
Xiang, Yang, Cun‐Quan Zhang, & Kun Huang. (2012). Predicting glioblastoma prognosis networks using weighted gene co-expression network analysis on TCGA data. BMC Bioinformatics. 13(S2). S12–S12. 35 indexed citations
16.
Zhang, Pengyue, Raphaël Mourad, Yang Xiang, et al.. (2012). A dynamic time order network for time-series gene expression data analysis. BMC Systems Biology. 6(S3). S9–S9. 8 indexed citations
17.
Dragan, Feodor F., Derek G. Corneil, Ekkehard Köhler, & Yang Xiang. (2012). Collective additive tree spanners for circle graphs and polygonal graphs. Discrete Applied Mathematics. 160(12). 1717–1729. 1 indexed citations
18.
Zhang, Jie, Yang Xiang, Shweta Kotian, et al.. (2012). Weighted Frequent Gene Co-expression Network Mining to Identify Genes Involved in Genome Stability. PLoS Computational Biology. 8(8). e1002656–e1002656. 57 indexed citations
19.
Xiang, Yang, Philip Payne, & Kun Huang. (2011). Transactional Database Transformation and Its Application in Prioritizing Human Disease Genes. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(1). 294–304. 12 indexed citations
20.
Wang, Xuan, et al.. (1986). A high resolution Chinese character generator. Journal of Computer Science and Technology. 1(2). 1–14. 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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