Yideng Cai

744 total citations
14 papers, 373 citations indexed

About

Yideng Cai is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Yideng Cai has authored 14 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Yideng Cai's work include Single-cell and spatial transcriptomics (6 papers), Immune cells in cancer (4 papers) and Immunotherapy and Immune Responses (2 papers). Yideng Cai is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Immune cells in cancer (4 papers) and Immunotherapy and Immune Responses (2 papers). Yideng Cai collaborates with scholars based in China and Russia. Yideng Cai's co-authors include Lei Deng, Zhaochun Xu, Jiacheng Wang, Meng Luo, Xiyun Jin, Pingping Wang, Chang Xu, Qinghua Jiang, Wenyi Yang and Fenglan Pang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Yideng Cai

14 papers receiving 368 citations

Peers

Yideng Cai

IMMUN

CTM

BIOPH

Mingkun Lu China

Soufiane Mourragui Netherlands

Haotian Cui Canada

Antonio Palmeri Italy

Ksenia Lezhnina United States

Kuan Pang Australia

Hunter Nisonoff United States

Wanwen Zeng China

Marcin Pilarczyk United States

Tianming Zhou United States

Mingkun Lu China

Yideng Cai

224 ×0.7

26 ×0.4

IMMUN

114 ×2.1

CTM

43 ×0.9

16 ×0.4

BIOPH

Citations per year, relative to Yideng Cai Yideng Cai (= 1×) peers Mingkun Lu

Countries citing papers authored by Yideng Cai

Since Specialization

Citations

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

Fields of papers citing papers by Yideng Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yideng Cai

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

All Works

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14 of 14 papers shown

Luo, Meng, Pingping Wang, Rui Chen, et al.. (2025). Charting the spatial transcriptome of the human cerebral cortex at single-cell resolution. Nature Communications. 16(1). 7702–7702. 1 indexed citations

Pang, Fenglan, Guangfu Xue, Yideng Cai, et al.. (2025). TriCLFF: a multi-modal feature fusion framework using contrastive learning for spatial domain identification. Briefings in Bioinformatics. 26(4). 1 indexed citations

Xue, Guangfu, Yideng Cai, Xiyun Jin, et al.. (2024). Dimension reduction, cell clustering, and cell–cell communication inference for single-cell transcriptomics with DcjComm. Genome biology. 25(1). 241–241. 6 indexed citations

Cai, Yideng, Meng Luo, Wenyi Yang, et al.. (2024). The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood. Cancer Research. 84(11). 1915–1928. 8 indexed citations

Xiao, Lixing, Haoxiu Sun, Rui Cheng, et al.. (2024). Functional requirement of alternative splicing in epithelial-mesenchymal transition of pancreatic circulating tumor. Molecular Therapy — Nucleic Acids. 35(1). 102129–102129. 2 indexed citations

Wang, Pingping, Shouping Xu, Tao Wang, et al.. (2024). Deciphering cell–cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network. Nature Communications. 15(1). 7101–7101. 22 indexed citations

Yang, Wenyi, Pingping Wang, Meng Luo, et al.. (2023). DeepCCI: a deep learning framework for identifying cell–cell interactions from single-cell RNA sequencing data. Bioinformatics. 39(10). 18 indexed citations

Jin, Xiyun, Yideng Cai, Guangfu Xue, et al.. (2023). Identification of shared characteristics in tumor-infiltrating T cells across 15 cancers. Molecular Therapy — Nucleic Acids. 32. 189–202. 7 indexed citations

Yang, Wenyi, Meng Luo, Chang Xu, et al.. (2022). CBLRR: a cauchy-based bounded constraint low-rank representation method to cluster single-cell RNA-seq data. Briefings in Bioinformatics. 23(5). 7 indexed citations

10.

Xu, Chang, Xiyun Jin, Pingping Wang, et al.. (2022). DeepST: identifying spatial domains in spatial transcriptomics by deep learning. Nucleic Acids Research. 50(22). e131–e131. 124 indexed citations

11.

Xu, Zhaochun, Meng Luo, Wei‐Zhong Lin, et al.. (2021). DLpTCR: an ensemble deep learning framework for predicting immunogenic peptide recognized by T cell receptor. Briefings in Bioinformatics. 22(6). 75 indexed citations

12.

Cai, Yideng, Jiacheng Wang, & Lei Deng. (2020). SDN2GO: An Integrated Deep Learning Model for Protein Function Prediction. Frontiers in Bioengineering and Biotechnology. 8. 391–391. 51 indexed citations

13.

Deng, Lei, et al.. (2020). Pathway-Guided Deep Neural Network toward Interpretable and Predictive Modeling of Drug Sensitivity. Journal of Chemical Information and Modeling. 60(10). 4497–4505. 40 indexed citations

14.

Wang, Jiacheng, Jingpu Zhang, Yideng Cai, & Lei Deng. (2019). DeepMiR2GO: Inferring Functions of Human MicroRNAs Using a Deep Multi-Label Classification Model. International Journal of Molecular Sciences. 20(23). 6046–6046. 11 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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