Yi Xiong

4.5k total citations · 1 hit paper
126 papers, 3.1k citations indexed

About

Yi Xiong is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Yi Xiong has authored 126 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 26 papers in Computational Theory and Mathematics and 15 papers in Artificial Intelligence. Recurrent topics in Yi Xiong's work include Machine Learning in Bioinformatics (31 papers), Computational Drug Discovery Methods (25 papers) and RNA and protein synthesis mechanisms (19 papers). Yi Xiong is often cited by papers focused on Machine Learning in Bioinformatics (31 papers), Computational Drug Discovery Methods (25 papers) and RNA and protein synthesis mechanisms (19 papers). Yi Xiong collaborates with scholars based in China, United States and Canada. Yi Xiong's co-authors include Dong‐Qing Wei, Xiaolei Zhu, Yanyi Chu, Juan Liu, Shanfeng Zhu, Ronghui You, Yanjing Wang, Qiankun Wang, Wen Zhang and Xiangeng Wang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Yi Xiong

120 papers receiving 3.0k citations

Hit Papers

Diffu... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Xiong China 32 2.2k 807 249 233 232 126 3.1k
Parantu K. Shah United States 19 1.8k 0.8× 851 1.1× 424 1.7× 215 0.9× 391 1.7× 42 3.1k
Jianzhu Ma United States 27 2.2k 1.0× 489 0.6× 337 1.4× 190 0.8× 309 1.3× 69 3.1k
Michaela Spitzer United Kingdom 13 1.4k 0.6× 962 1.2× 447 1.8× 99 0.4× 218 0.9× 17 2.8k
Lei Deng China 34 3.5k 1.5× 938 1.2× 425 1.7× 724 3.1× 153 0.7× 167 4.3k
Shanrong Zhao United States 19 2.1k 0.9× 866 1.1× 450 1.8× 480 2.1× 232 1.0× 35 3.7k
Shaoliang Peng China 28 1.5k 0.7× 374 0.5× 122 0.5× 431 1.8× 441 1.9× 190 3.1k
Yanjie Wei China 25 1.1k 0.5× 397 0.5× 142 0.6× 262 1.1× 129 0.6× 130 2.0k
Qi Liu China 31 2.6k 1.1× 535 0.7× 163 0.7× 394 1.7× 144 0.6× 137 3.6k
Günter Klambauer Austria 24 1.5k 0.7× 1.6k 1.9× 758 3.0× 218 0.9× 308 1.3× 45 3.1k
Yijie Ding China 37 3.4k 1.5× 1.2k 1.4× 247 1.0× 434 1.9× 337 1.5× 181 4.3k

Countries citing papers authored by Yi Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Yi Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Xiong. A scholar is included among the top collaborators of Yi Xiong 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 Yi Xiong. Yi Xiong 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.
Kagaya, Yuki, et al.. (2025). Distance-AF improves predicted protein structure models by AlphaFold2 with user-specified distance constraints. Communications Biology. 8(1). 1392–1392.
3.
Zhou, Zhenghong, et al.. (2025). GRATCR: Epitope-Specific T Cell Receptor Sequence Generation With Data-Efficient Pre-Trained Models. IEEE Journal of Biomedical and Health Informatics. 29(3). 2271–2283. 6 indexed citations
4.
Xiong, Yi, et al.. (2024). More Quickly-RRT*: Improved Quick Rapidly-exploring Random Tree Star algorithm based on optimized sampling point with better initial solution and convergence rate. Engineering Applications of Artificial Intelligence. 133. 108246–108246. 25 indexed citations
5.
Xiong, Yi, Daxu Li, Tianqi Liu, et al.. (2024). Extensive transcriptome data providing great efficacy in genetic research and adaptive gene discovery: a case study of Elymus sibiricus L. (Poaceae, Triticeae). Frontiers in Plant Science. 15. 1457980–1457980. 1 indexed citations
6.
Xiong, Yi, et al.. (2024). CloudProteoAnalyzer: scalable processing of big data from proteomics using cloud computing. Bioinformatics Advances. 4(1). vbae024–vbae024.
7.
Hu, Chao, Song Li, Jun Chen, et al.. (2023). ScaffoldGVAE: scaffold generation and hopping of drug molecules via a variational autoencoder based on multi-view graph neural networks. Journal of Cheminformatics. 15(1). 91–91. 22 indexed citations
8.
Chen, Chaoyu, Xin Yang, Yuhao Huang, et al.. (2023). FetusMapV2: Enhanced fetal pose estimation in 3D ultrasound. Medical Image Analysis. 91. 103013–103013. 3 indexed citations
9.
Yang, Xin, Hong‐Zhang Wang, Haoran Dou, et al.. (2023). RecON: Online learning for sensorless freehand 3D ultrasound reconstruction. Medical Image Analysis. 87. 102810–102810. 15 indexed citations
10.
Xiong, Yi, Yi Xiong, Junming Zhao, et al.. (2022). The Complete Mitogenome of Elymus sibiricus and Insights Into Its Evolutionary Pattern Based on Simple Repeat Sequences of Seed Plant Mitogenomes. Frontiers in Plant Science. 12. 802321–802321. 37 indexed citations
11.
Chu, Yanyi, Xiaoqi Shan, Mingming Jiang, et al.. (2020). DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method. Briefings in Bioinformatics. 22(3). 64 indexed citations
12.
You, Ronghui, Shuwei Yao, Yi Xiong, et al.. (2019). NetGO: improving large-scale protein function prediction with massive network information. Nucleic Acids Research. 47(W1). W379–W387. 90 indexed citations
13.
Wang, Qiankun, Aamir Mehmood, Heng Wang, et al.. (2019). Computational Screening and Analysis of Lung Cancer Related Non-Synonymous Single Nucleotide Polymorphisms on the Human Kirsten Rat Sarcoma Gene. Molecules. 24(10). 1951–1951. 33 indexed citations
14.
Liu, Yanhua, Yuanji Zhang, Mei Li, et al.. (2019). Preliminary application study of using tele-ultrasound robot system in volunteers. Zhonghua chaosheng yingxiangxue zazhi. 28(1). 66–70. 2 indexed citations
15.
You, Ronghui, Zihan Zhang, Yi Xiong, et al.. (2018). GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank. Bioinformatics. 34(14). 2465–2473. 123 indexed citations
16.
Ouyang, Tinghui, et al.. (2016). Short-term wind power prediction based on kernel function switching. 36(9). 86. 3 indexed citations
17.
Esquivel‐Rodríguez, Juan, et al.. (2015). Navigating 3D electron microscopy maps with EM-SURFER. BMC Bioinformatics. 16(1). 181–181. 16 indexed citations
18.
Xiong, Yi. (2014). A Perturbing Resistance Maximum Power Point Tracking Strategy of Current Source Inverter for Grid-Connected PV Generation System. Power System Technology. 1 indexed citations
19.
Xiong, Yi, Junfeng Xia, Wen Zhang, & Juan Liu. (2011). Exploiting a Reduced Set of Weighted Average Features to Improve Prediction of DNA-Binding Residues from 3D Structures. PLoS ONE. 6(12). e28440–e28440. 27 indexed citations
20.
Xiong, Yi & Tian Zheng. (2006). The Unsupervised Segmentation of SAR Imagery Based on Multiscale Image Block. Computer Engineering and Applications Journal. 42(10). 46–48. 3 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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