Kaixuan Sun

2.4k total citations · 1 hit paper
70 papers, 1.9k citations indexed

About

Kaixuan Sun is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Cancer Research. According to data from OpenAlex, Kaixuan Sun has authored 70 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 25 papers in Molecular Biology and 22 papers in Cancer Research. Recurrent topics in Kaixuan Sun's work include Cancer-related molecular mechanisms research (17 papers), Optical Network Technologies (16 papers) and Circular RNAs in diseases (16 papers). Kaixuan Sun is often cited by papers focused on Cancer-related molecular mechanisms research (17 papers), Optical Network Technologies (16 papers) and Circular RNAs in diseases (16 papers). Kaixuan Sun collaborates with scholars based in China, Singapore and United States. Kaixuan Sun's co-authors include Yang Zhao, Shuo Chen, Xiaobing Yan, Jingsheng Chen, Zhi‐Hong Zong, Xi Chen, Yin‐Ling Xiu, Bo‐Liang Liu, Lili Wang and Xiu‐Bo Sang and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and The Science of The Total Environment.

In The Last Decade

Kaixuan Sun

59 papers receiving 1.9k citations

Hit Papers

The Future of Memristors: Materials Engineering and Neura... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaixuan Sun China 25 983 881 578 211 127 70 1.9k
Weihao Zhang China 20 300 0.3× 230 0.3× 315 0.5× 66 0.3× 114 0.9× 97 1.3k
Jiejun Wang China 24 862 0.9× 422 0.5× 160 0.3× 71 0.3× 43 0.3× 128 1.8k
Yu Rim Lee South Korea 17 406 0.4× 353 0.4× 165 0.3× 82 0.4× 86 0.7× 78 1.2k
Tianhua Liu China 26 420 0.4× 137 0.2× 757 1.3× 86 0.4× 382 3.0× 123 1.9k
Lulu Lu China 25 363 0.4× 103 0.1× 327 0.6× 164 0.8× 136 1.1× 77 2.3k
Yu‐An Chen China 22 556 0.6× 219 0.2× 255 0.4× 32 0.2× 87 0.7× 74 1.6k
Tae Soo Kim South Korea 19 347 0.4× 168 0.2× 260 0.4× 80 0.4× 42 0.3× 61 1.1k
Ziyan Yang China 20 373 0.4× 217 0.2× 139 0.2× 21 0.1× 70 0.6× 56 1.0k
Wei‐Chih Huang Taiwan 19 993 1.0× 829 0.9× 297 0.5× 19 0.1× 38 0.3× 48 1.8k
Teng Sun China 22 2.1k 2.1× 1.7k 1.9× 162 0.3× 34 0.2× 23 0.2× 102 2.9k

Countries citing papers authored by Kaixuan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Kaixuan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaixuan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Kaixuan Sun. A scholar is included among the top collaborators of Kaixuan Sun 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 Kaixuan Sun. Kaixuan Sun 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.
Sun, Kaixuan, et al.. (2025). Data-driven prediction of insulation properties in dielectric composites by machine learning. Journal of Physics D Applied Physics.
2.
Li, Yanhui, Kaixuan Sun, Qi Yao, & Lin Wang. (2023). A dual-optimization wind speed forecasting model based on deep learning and improved dung beetle optimization algorithm. Energy. 286. 129604–129604. 90 indexed citations
3.
Xiu, Yin‐Ling, Kaixuan Sun, Qian Zhang, et al.. (2023). Outcome of Different Endometrial Preparation Protocols Prior to Frozen-Thawed Embryo Transfer on Pregnancy Outcomes in Women with Repeated Implantation Failure. International Journal of Women s Health. Volume 15. 1835–1844. 1 indexed citations
4.
Sun, Kaixuan, Qingrui Wang, Long Zhou, et al.. (2023). 2D-3D perovskite memristor with low energy consumption and high stability for neural morphology calculation. Science China Materials. 66(5). 2013–2022. 20 indexed citations
5.
Yang, Rui, Haoou Ruan, Kaixuan Sun, et al.. (2023). High thermal conductivity insulating AlN/poly(m-phenylenedicarbonyl-m-phenylenediamine) paper realized by enhanced compatibility: a selection of appropriate coupling agent. Journal of Physics D Applied Physics. 56(44). 445501–445501. 5 indexed citations
6.
Yu, Zhenming, et al.. (2023). Low-resolution optical transmission using joint shaping technique of signal probability and quantization noise. Chinese Optics Letters. 21(5). 50602–50602. 6 indexed citations
8.
Sun, Kaixuan, et al.. (2023). Predictive value of 3D ultrasound assessment of endometrial receptivity for PGD/PGS for transfer pregnancy outcome. BMC Pregnancy and Childbirth. 23(1). 213–213.
9.
Zhao, Jianhui, Rui Guo, Weinan Lin, et al.. (2022). Bio-synapse behavior controlled by interface engineering in ferroelectric tunnel memristors. Science China Materials. 66(4). 1559–1568. 14 indexed citations
10.
Wang, Jingjuan, Chenyang Shi, Maria L. Sushko, et al.. (2021). Boost of the Bio-memristor Performance for Artificial Electronic Synapses by Surface Reconstruction. ACS Applied Materials & Interfaces. 13(33). 39641–39651. 42 indexed citations
11.
Wang, Jingjuan, Gang Cao, Kaixuan Sun, et al.. (2021). Alloy electrode engineering in memristors for emulating the biological synapse. Nanoscale. 14(4). 1318–1326. 27 indexed citations
12.
Sun, Kaixuan, Jingsheng Chen, & Xiaobing Yan. (2020). The Future of Memristors: Materials Engineering and Neural Networks. Advanced Functional Materials. 31(8). 354 indexed citations breakdown →
13.
Chen, Shuo, Lili Wang, Kaixuan Sun, et al.. (2018). LncRNA PCGEM1 Induces Ovarian Carcinoma Tumorigenesis and Progression Through RhoA Pathway. Cellular Physiology and Biochemistry. 47(4). 1578–1588. 41 indexed citations
14.
Liu, Yongbing, et al.. (2017). Low uric acid is a risk factor in mild cognitive impairment. Neuropsychiatric Disease and Treatment. Volume 13. 2363–2367. 24 indexed citations
15.
Sun, Kaixuan, Dandan Wu, Shuo Chen, Yang Zhao, & Zhi‐Hong Zong. (2017). LncRNA MEG3 inhibit endometrial carcinoma tumorigenesis and progression through PI3K pathway. APOPTOSIS. 22(12). 1543–1552. 66 indexed citations
16.
Wu, Dandan, Xi Chen, Kaixuan Sun, et al.. (2017). Role of the lncRNA ABHD11-AS1 in the tumorigenesis and progression of epithelial ovarian cancer through targeted regulation of RhoC. Molecular Cancer. 16(1). 138–138. 92 indexed citations
17.
Chen, Shuo, Xi Chen, Kaixuan Sun, et al.. (2016). MicroRNA-93 Promotes Epithelial–Mesenchymal Transition of Endometrial Carcinoma Cells. PLoS ONE. 11(11). e0165776–e0165776. 35 indexed citations
18.
Chen, Shuo, Kaixuan Sun, Bo‐Liang Liu, Zhi‐Hong Zong, & Yang Zhao. (2016). MicroRNA-505 functions as a tumor suppressor in endometrial cancer by targeting TGF-α. Molecular Cancer. 15(1). 11–11. 72 indexed citations
19.
Chen, Xi, Shuo Chen, Yin‐Ling Xiu, et al.. (2015). RhoC is a major target of microRNA-93-5P in epithelial ovarian carcinoma tumorigenesis and progression. Molecular Cancer. 14(1). 31–31. 58 indexed citations
20.
Semba, Richard D., Shu‐Sen Chang, Kaixuan Sun, et al.. (2012). Serum carotenoids and pulmonary function in older community-dwelling women. The journal of nutrition health & aging. 16(4). 291–296. 17 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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