Jin Cao

535 total citations
30 papers, 312 citations indexed

About

Jin Cao is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jin Cao has authored 30 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jin Cao's work include Advanced Memory and Neural Computing (2 papers), Wound Healing and Treatments (2 papers) and Ferroptosis and cancer prognosis (2 papers). Jin Cao is often cited by papers focused on Advanced Memory and Neural Computing (2 papers), Wound Healing and Treatments (2 papers) and Ferroptosis and cancer prognosis (2 papers). Jin Cao collaborates with scholars based in China, United States and Canada. Jin Cao's co-authors include Yong Peng, Feiwei Qin, Yanli Shao, Ian Cole, Praveen K. Saxena, Susan J. Murch, Ali Ramazan Alan, Mary Gargano, Jean-Luc Magnenat and Xueyong Qi and has published in prestigious journals such as ACS Applied Materials & Interfaces, Environmental Health Perspectives and Cell Reports.

In The Last Decade

Jin Cao

28 papers receiving 298 citations

Peers

Jin Cao
Jin Cao
Citations per year, relative to Jin Cao Jin Cao (= 1×) peers Luís Alonso Dzul López

Countries citing papers authored by Jin Cao

Since Specialization
Citations

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

Fields of papers citing papers by Jin Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Cao. A scholar is included among the top collaborators of Jin Cao 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 Jin Cao. Jin Cao 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.
Luo, Huan, et al.. (2025). Self-healing hydrogels loaded with selenium nanoparticles/chitosan/cellulose nanofibers as carriers of mesenchymal stem cells for diabetic wound healing. International Journal of Biological Macromolecules. 322(Pt 4). 146905–146905. 4 indexed citations
2.
Luo, Peng, Jie Li, Shu-yi Zhang, et al.. (2025). ERBB4 selectively amplifies TGF-β pro-metastatic responses. Cell Reports. 44(2). 115210–115210. 3 indexed citations
3.
Cao, Jin, et al.. (2024). Exploring marine algae-derived phycocyanin nanoparticles as a safe and effective adjuvant for sunscreen systems. Discover Applied Sciences. 6(1). 7 indexed citations
4.
Jiang, Yanhui, et al.. (2024). Dog Heart Rate and Blood Oxygen Metaverse Interaction System. 351–357. 2 indexed citations
5.
Li, Zhiye, et al.. (2024). Collagen/chitosan/genipin hydrogel loaded with phycocyanin nanoparticles and ND-336 for diabetic wound healing. International Journal of Biological Macromolecules. 266(Pt 1). 131220–131220. 29 indexed citations
6.
Cao, Jin, et al.. (2024). Integrated Method of Deep Learning and Large Language Model in Speech Recognition. 487–490. 4 indexed citations
7.
8.
Cao, Jin, et al.. (2023). Adaptive receptive field U-shaped temporal convolutional network for vulgar action segmentation. Neural Computing and Applications. 35(13). 9593–9606. 19 indexed citations
9.
Li, S. X., et al.. (2022). Instilling Type Knowledge in Language Models via Multi-Task QA. 594–603. 4 indexed citations
10.
Yan, Hao, et al.. (2022). Inhibition of human glioblastoma multiforme cells by 10,11-dehydrocurvularin through the MMP-2 and PI3K/AKT signaling pathways. European Journal of Pharmacology. 936. 175348–175348. 1 indexed citations
11.
Cao, Jin, et al.. (2022). Scalp Stimulation Targets for Neurological Conditions—Evidence from Large-Scale Meta-Analyses. Journal of Integrative Neuroscience. 21(3). 83–83. 2 indexed citations
12.
Yu, Hou‐Yong, et al.. (2022). Fertility cost, grandparental childcare, and female employment. Empirical Economics. 7 indexed citations
13.
Qin, Feiwei, et al.. (2021). Recurrent neural network from adder’s perspective: Carry-lookahead RNN. Neural Networks. 144. 297–306. 40 indexed citations
15.
Cao, Jin, et al.. (2017). A Structurally Enhanced, Ergonomically and Human–Computer Interaction Improved Intelligent Seat’s System. Designs. 1(2). 11–11. 11 indexed citations
16.
Cao, Jin. (2015). Study on kinetics of flocculation and settlement between typical algae and suspended particulates in Poyang Lake. Acta Scientiae Circumstantiae. 2 indexed citations
17.
Sousounis, Konstantinos, et al.. (2012). Conservation of the three-dimensional structure in non-homologous or unrelated proteins. Human Genomics. 6(1). 10–10. 25 indexed citations
18.
Cole, Ian, Jin Cao, Ali Ramazan Alan, Praveen K. Saxena, & Susan J. Murch. (2008). Comparisons of Scutellaria baicalensis, Scutellaria lateriflora and Scutellaria racemosa: Genome Size, Antioxidant Potential and Phytochemistry. Planta Medica. 74(4). 474–481. 45 indexed citations
19.
Cao, Jin. (2006). Analysis and research on Web-based network management.
20.
Ho, Ye‐Shih, Jean-Luc Magnenat, Mary Gargano, & Jin Cao. (1998). The Nature of Antioxidant Defense Mechanisms: A Lesson from Transgenic Studies. Environmental Health Perspectives. 106. 1219–1219. 29 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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