Chen Jin

404 total citations
21 papers, 252 citations indexed

About

Chen Jin is a scholar working on Molecular Biology, Cancer Research and Automotive Engineering. According to data from OpenAlex, Chen Jin has authored 21 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Automotive Engineering. Recurrent topics in Chen Jin's work include Machine Learning in Bioinformatics (5 papers), Cancer-related molecular mechanisms research (5 papers) and Bioinformatics and Genomic Networks (3 papers). Chen Jin is often cited by papers focused on Machine Learning in Bioinformatics (5 papers), Cancer-related molecular mechanisms research (5 papers) and Bioinformatics and Genomic Networks (3 papers). Chen Jin collaborates with scholars based in China, United States and Canada. Chen Jin's co-authors include Han Zhang, Yanbin Yin, Han Zhang, Xiongwen Quan, Ken Lin, Jie Zhang, Shiwen Zhou, Zhixian Mo, Jiyin Zhou and Jianzhao Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and International Journal of Molecular Sciences.

In The Last Decade

Chen Jin

21 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen Jin China 10 131 95 22 20 20 21 252
Haitao Fu China 6 202 1.5× 35 0.4× 12 0.5× 8 0.4× 41 2.0× 28 313
Cong Shen China 12 243 1.9× 128 1.3× 2 0.1× 6 0.3× 17 0.8× 26 350
Dirk Tomandl United States 6 113 0.9× 6 0.1× 16 0.7× 13 0.7× 17 0.8× 7 284
Honghan Zhang China 12 53 0.4× 12 0.1× 7 0.3× 61 3.0× 80 4.0× 41 300
Shinichiro Maeda Japan 10 71 0.5× 13 0.1× 3 0.1× 5 0.3× 13 0.7× 25 394
Ruihao Liu China 9 59 0.5× 14 0.1× 32 1.5× 1 0.1× 20 1.0× 29 276

Countries citing papers authored by Chen Jin

Since Specialization
Citations

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

Fields of papers citing papers by Chen Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Jin. A scholar is included among the top collaborators of Chen Jin 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 Chen Jin. Chen Jin 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.
Jin, Chen, et al.. (2024). CT image denoising methods for image quality improvement and radiation dose reduction. Journal of Applied Clinical Medical Physics. 25(2). e14270–e14270. 21 indexed citations
2.
Kaiser, Kathryn A., Lama Ghazi, Chen Jin, et al.. (2024). Artificial Intelligence/Machine Learning Externally Validated Models for AKI Risk-Classification: A Systematic Review and Meta-Analysis. Journal of the American Society of Nephrology. 35(10S). 1 indexed citations
3.
Jin, Chen, Ying Li, Wei Hong, et al.. (2024). The dorsomedial prefrontal cortex promotes self-control by inhibiting the egocentric perspective. NeuroImage. 301. 120879–120879. 2 indexed citations
4.
Zhang, Han, et al.. (2023). Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networks. Frontiers in Genetics. 14. 1136672–1136672. 11 indexed citations
5.
Jin, Chen. (2022). A Deep Learning Based Approach to Structural Function Recognition of Scientific Literature Abstracts. SHILAP Revista de lepidopterología. 1 indexed citations
6.
7.
Jin, Chen, et al.. (2022). TLCrys: Transfer Learning Based Method for Protein Crystallization Prediction. International Journal of Molecular Sciences. 23(2). 972–972. 5 indexed citations
8.
9.
Zhang, Han, et al.. (2021). A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations. BMC Bioinformatics. 22(1). 136–136. 61 indexed citations
10.
Zhang, Lin, et al.. (2021). HN-CNN: A Heterogeneous Network Based on Convolutional Neural Network for m7 G Site Disease Association Prediction. Frontiers in Genetics. 12. 655284–655284. 13 indexed citations
11.
Jin, Chen, et al.. (2021). Predicting lncRNA-protein interactions based on graph autoencoders and collaborative training. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 38–43. 10 indexed citations
12.
Jin, Chen, et al.. (2021). ATTCry: Attention-based neural network model for protein crystallization prediction. Neurocomputing. 463. 265–274. 18 indexed citations
13.
Li, Yang, Dihua Sun, Min Zhao, et al.. (2020). MPC-based switched driving model for human vehicle co-piloting considering human factors. Transportation Research Part C Emerging Technologies. 115. 102612–102612. 23 indexed citations
14.
Jin, Chen, et al.. (2020). Risk Status Identification During the Takeover of Conditionally Automated Vehicles. 13. 5000–5006. 1 indexed citations
15.
Zhang, Han, et al.. (2019). A disease-related gene mining method based on weakly supervised learning model. BMC Bioinformatics. 20(S16). 1 indexed citations
16.
Cai, Guolong, et al.. (2015). [The prediction value of noninvasive bioreactance-based passive leg raising test in assessing fluid responsiveness in elderly patients with sepsis].. PubMed. 54(2). 130–3. 1 indexed citations
17.
Zhou, Jiyin, Chen Jin, Shiwen Zhou, & Zhixian Mo. (2013). Individual and combined effects of rhynchophylline and ketamine on proliferation, NMDAR1 and GluA2/3 protein expression in PC12 cells. Fitoterapia. 85. 125–129. 20 indexed citations
18.
Peng, Hui, et al.. (2013). Traffic Indexes Prediction Based on Grey Prediction Model. 29. 244–247. 3 indexed citations
19.
Yan, Molei, et al.. (2013). [Microcirculation characters in the elderly septic patients].. PubMed. 93(25). 1965–9. 1 indexed citations
20.
Rosa, Bruce A., Sookyung Oh, Beronda L. Montgomery, Chen Jin, & Wensheng Qin. (2010). Computing gene expression data with a knowledge-based gene clustering approach.. PubMed. 1(1). 51–68. 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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