Xingjian Chen

760 total citations · 1 hit paper
41 papers, 452 citations indexed

About

Xingjian Chen is a scholar working on Molecular Biology, Sensory Systems and Neurology. According to data from OpenAlex, Xingjian Chen has authored 41 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 7 papers in Sensory Systems and 6 papers in Neurology. Recurrent topics in Xingjian Chen's work include Single-cell and spatial transcriptomics (8 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers) and Machine Learning in Bioinformatics (6 papers). Xingjian Chen is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers) and Machine Learning in Bioinformatics (6 papers). Xingjian Chen collaborates with scholars based in China, Hong Kong and United States. Xingjian Chen's co-authors include Ka‐Chun Wong, Weitong Zhang, Lei Huang, Linjing Liu, Zetian Zheng, Xuejiao Hu, Zhong Wei, Yangchun Xu, Xinlan Mei and Jiecong Lin and has published in prestigious journals such as Nature Communications, Bioinformatics and Langmuir.

In The Last Decade

Xingjian Chen

36 papers receiving 441 citations

Hit Papers

A dual diffusion model enables 3D molecule generation and... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingjian Chen China 12 264 105 56 46 41 41 452
Yujie You China 8 142 0.5× 84 0.8× 33 0.6× 40 0.9× 44 1.1× 12 389
Xinyi Liu China 13 267 1.0× 11 0.1× 68 1.2× 53 1.2× 32 0.8× 45 602
Yifeng Liu China 12 207 0.8× 44 0.4× 36 0.6× 34 0.7× 62 1.5× 31 431
Huawei Feng China 7 194 0.7× 109 1.0× 43 0.8× 104 2.3× 23 0.6× 20 360
Lu Zhao China 16 580 2.2× 379 3.6× 167 3.0× 12 0.3× 79 1.9× 32 911
Jovana Paunović Serbia 12 125 0.5× 32 0.3× 74 1.3× 4 0.1× 34 0.8× 31 438
Beibei Huang China 11 200 0.8× 90 0.9× 25 0.4× 30 0.7× 29 0.7× 33 392
Huasheng Li China 12 118 0.4× 22 0.2× 112 2.0× 68 1.5× 204 5.0× 28 622
Ming-Hsuang Cho United States 9 293 1.1× 181 1.7× 17 0.3× 74 1.6× 9 0.2× 10 641

Countries citing papers authored by Xingjian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xingjian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingjian Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xingjian Chen. A scholar is included among the top collaborators of Xingjian Chen 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 Xingjian Chen. Xingjian Chen 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
2.
Chen, Xingjian, Lei Huang, Zetian Zheng, et al.. (2025). DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings. Artificial Intelligence in Medicine. 168. 103202–103202.
3.
Huang, Lei, Zetian Zheng, Xingjian Chen, et al.. (2024). DeepSeq2Drug: An expandable ensemble end-to-end anti-viral drug repurposing benchmark framework by multi-modal embeddings and transfer learning. Computers in Biology and Medicine. 175. 108487–108487. 4 indexed citations
4.
Chen, Xingjian, Ke Cheng, Zetian Zheng, et al.. (2024). TransPTM: a transformer-based model for non-histone acetylation site prediction. Briefings in Bioinformatics. 25(3). 9 indexed citations
5.
Chen, Xingjian, et al.. (2024). HE2Gene: image-to-RNA translation via multi-task learning for spatial transcriptomics data. Bioinformatics. 40(6). 1 indexed citations
6.
Yang, Yuning, Xingjian Chen, Ka‐Chun Wong, et al.. (2024). Accurate Spatial Heterogeneity Dissection and Gene Regulation Interpretation for Spatial Transcriptomics using Dual Graph Contrastive Learning. Advanced Science. 12(3). e2410081–e2410081. 8 indexed citations
7.
Huang, Lei, Tingyang Xu, Yang Yu, et al.. (2024). A dual diffusion model enables 3D molecule generation and lead optimization based on target pockets. Nature Communications. 15(1). 2657–2657. 72 indexed citations breakdown →
8.
Qi, Baohui, Xingjian Chen, Jingjing Pi, et al.. (2024). Vapor–Liquid Equilibrium of 1,3,5-Trioxane + Formaldehyde + Water System Based on Salt Effect. Journal of Chemical & Engineering Data. 69(12). 4430–4437.
9.
Zheng, Zetian, Junyi Chen, Xingjian Chen, et al.. (2023). Enabling Single‐Cell Drug Response Annotations from Bulk RNA‐Seq Using SCAD. Advanced Science. 10(11). e2204113–e2204113. 22 indexed citations
10.
Liu, Zhe, Xingjian Chen, Jiecong Lin, et al.. (2023). MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm. Computers in Biology and Medicine. 168. 107753–107753. 2 indexed citations
11.
Chen, Xingjian, et al.. (2022). Human disease prediction from microbiome data by multiple feature fusion and deep learning. iScience. 25(4). 104081–104081. 18 indexed citations
12.
Zheng, Zetian, Xingjian Chen, Fuzhou Wang, et al.. (2022). Subclass-Specific Prognosis and Treatment Efficacy Inference in Head and Neck Squamous Carcinoma. IEEE Journal of Biomedical and Health Informatics. 26(8). 4303–4313. 1 indexed citations
13.
Chan, Wai‐Sum, Lei Huang, Linjing Liu, et al.. (2022). Mini-review: Recent advances in post-translational modification site prediction based on deep learning. Computational and Structural Biotechnology Journal. 20. 3522–3532. 29 indexed citations
14.
Zhang, Weitong, Xingjian Chen, & Ka‐Chun Wong. (2021). Noninvasive early diagnosis of intestinal diseases based on artificial intelligence in genomics and microbiome. Journal of Gastroenterology and Hepatology. 36(4). 823–831. 17 indexed citations
15.
Liu, Linjing, Xingjian Chen, & Ka‐Chun Wong. (2021). Early cancer detection from genome-wide cell-free DNA fragmentation via shuffled frog leaping algorithm and support vector machine. Bioinformatics. 37(19). 3099–3105. 13 indexed citations
16.
Liu, Linjing, et al.. (2021). Machine Learning Protocols in Early Cancer Detection Based on Liquid Biopsy: A Survey. Life. 11(7). 638–638. 40 indexed citations
17.
Hu, Xuejiao, et al.. (2019). A fast and easy method for predicting agricultural waste compost maturity by image-based deep learning. Bioresource Technology. 290. 121761–121761. 53 indexed citations
18.
Zhu, Yiming, Yong Li, Yanli Wang, et al.. (2015). The deafness-causing mutation c.508_511dup in theGJB2gene and a literature review. Acta Oto-Laryngologica. 135(9). 914–918. 1 indexed citations
19.
Xu, Baicheng, Xiaowen Liu, Yiming Zhu, et al.. (2014). Analysis of common deafness gene mutations in deaf people from unique ethnic groups in Gansu Province, China. Acta Oto-Laryngologica. 134(9). 924–929. 7 indexed citations
20.
Fu, Jinjuan, Yu Han, Hongyong Wang, et al.. (2014). Impaired dopamine D1 receptor-mediated vasorelaxation of mesenteric arteries in obese Zucker rats. Cardiovascular Diabetology. 13(1). 50–50. 14 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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