Zejun Li

1.2k total citations
70 papers, 863 citations indexed

About

Zejun Li is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Zejun Li has authored 70 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 18 papers in Cancer Research and 11 papers in Biomedical Engineering. Recurrent topics in Zejun Li's work include Cancer-related molecular mechanisms research (15 papers), MicroRNA in disease regulation (9 papers) and Machine Learning in Bioinformatics (8 papers). Zejun Li is often cited by papers focused on Cancer-related molecular mechanisms research (15 papers), MicroRNA in disease regulation (9 papers) and Machine Learning in Bioinformatics (8 papers). Zejun Li collaborates with scholars based in China, United States and Macao. Zejun Li's co-authors include Lihong Peng, Min Chen, Bo Liao, Jialiang Yang, Lijun Cai, Xing Chen, Bo Liao, Haihua Liu, Peng Wang and Taiwei Chu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Food Chemistry.

In The Last Decade

Zejun Li

64 papers receiving 842 citations

Peers

Zejun Li

CTM

Huan Yang China

Lei Cao China

Neel S. Madhukar United States

O. V. Sen’ko Russia

Coryandar Gilvary United States

Dibyen Majumdar United States

Chen‐An Tsai Taiwan

Vladimir Gligorijević United States

Angela Serra Finland

Huan Yang China

Zejun Li

488 ×1.1

139 ×0.5

48 ×0.4

CTM

94 ×1.0

42 ×0.6

Citations per year, relative to Zejun Li Zejun Li (= 1×) peers Huan Yang

Countries citing papers authored by Zejun Li

Since Specialization

Citations

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

Fields of papers citing papers by Zejun Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zejun Li

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

Lao, Mengyi, Xiaozhen Zhang, Zejun Li, et al.. (2025). Lipid metabolism reprograming by SREBP1‐PCSK9 targeting sensitizes pancreatic cancer to immunochemotherapy. Cancer Communications. 45(8). 1010–1037. 1 indexed citations

Zhang, Zhenyu, Zejun Li, Zhaohui Wang, et al.. (2024). Tailoring near-infrared amyloid-β probes with high-affinity and low background based on CN and amphipathic regulatory strategies and in vivo imaging of AD mice. Talanta. 281. 126858–126858. 1 indexed citations

Zhou, Liqian, et al.. (2024). THGB: predicting ligand-receptor interactions by combining tree boosting and histogram-based gradient boosting. Scientific Reports. 14(1). 29604–29604. 1 indexed citations

Li, Peng, et al.. (2024). Drug Repositioning via Multi-View Representation Learning With Heterogeneous Graph Neural Network. IEEE Journal of Biomedical and Health Informatics. 29(3). 1668–1679. 12 indexed citations

Li, Zejun, Hao Wu, Yunlong Lu, Yueyue Dai, & Bo Ai. (2024). Mitigating straggler effect in federated learning based on reconfigurable intelligent surface over Internet of Vehicles. China Communications. 21(8). 62–78. 1 indexed citations

Chen, Min, et al.. (2023). KATZNCP: a miRNA–disease association prediction model integrating KATZ algorithm and network consistency projection. BMC Bioinformatics. 24(1). 229–229. 7 indexed citations

Li, Zejun, et al.. (2023). A reduced-order modeling for thermo-mechanical coupling analyses by using radial integration boundary element method. Engineering Analysis with Boundary Elements. 156. 211–222. 4 indexed citations

Li, Zejun, Zhihao Fan, Jingjing Chen, et al.. (2023). Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training. 5939–5958. 9 indexed citations

Peng, Lihong, et al.. (2023). CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis. IEEE Journal of Biomedical and Health Informatics. 28(1). 580–591. 32 indexed citations

10.

Peng, Lihong, Wei Xiong, Li Zhang, et al.. (2023). Deciphering ligand–receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data. Computers in Biology and Medicine. 163. 107137–107137. 37 indexed citations

11.

Aly, Amirah E.-E., Tao Sun, Yongzhi Zhang, et al.. (2023). Focused ultrasound enhances transgene expression of intranasal hGDNF DNA nanoparticles in the sonicated brain regions. Journal of Controlled Release. 358. 498–509. 11 indexed citations

12.

Peng, Lihong, Geng Tian, Yan Wu, et al.. (2023). Predicting potential microbe-disease associations with graph attention autoencoder, positive-unlabeled learning, and deep neural network. Frontiers in Microbiology. 14. 1244527–1244527. 12 indexed citations

13.

Li, Zejun, et al.. (2023). Recent Progress of Activity-Based Fluorescent Probes for Imaging Leucine Aminopeptidase. Biosensors. 13(7). 752–752. 11 indexed citations

14.

Li, Xiong, et al.. (2022). A Clustering Method Unifying Cell-Type Recognition and Subtype Identification for Tumor Heterogeneity Analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(2). 822–832. 5 indexed citations

15.

Li, Zejun, et al.. (2022). Informative SNP Selection Based on a Fuzzy Clustering and Improved Binary Particle Swarm Optimization Algorithm. Computational and Mathematical Methods in Medicine. 2022. 1–11. 1 indexed citations

16.

Li, Zejun, et al.. (2022). Prediction of Plant Resistance Proteins Based on Pairwise Energy Content and Stacking Framework. Frontiers in Plant Science. 13. 912599–912599. 2 indexed citations

17.

Tian, Geng, Ziwei Wang, Chang Wang, et al.. (2022). A deep ensemble learning-based automated detection of COVID-19 using lung CT images and Vision Transformer and ConvNeXt. Frontiers in Microbiology. 13. 1024104–1024104. 23 indexed citations

18.

Chen, Yifan, Xiangzheng Fu, Zejun Li, Peng Li, & Linlin Zhuo. (2021). Prediction of lncRNA–Protein Interactions via the Multiple Information Integration. Frontiers in Bioengineering and Biotechnology. 9. 647113–647113. 12 indexed citations

19.

Li, Zejun, et al.. (2018). SRMDAP: SimRank and Density-Based Clustering Recommender Model for miRNA-Disease Association Prediction. BioMed Research International. 2018. 1–11. 6 indexed citations

20.

Yan, Liping, Jiewen Zhou, Qiaoyang Teng, et al.. (2012). Comparison of real-time reverse transcription loop-mediated isothermal amplification and real-time reverse transcription polymerase chain reaction for duck Tembusu virus. Journal of Virological Methods. 182(1-2). 50–55. 19 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.

Explore authors with similar magnitude of impact