Wenjun Chen

636 total citations
21 papers, 519 citations indexed

About

Wenjun Chen is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Wenjun Chen has authored 21 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 11 papers in Electrical and Electronic Engineering and 9 papers in Biomedical Engineering. Recurrent topics in Wenjun Chen's work include Advanced Memory and Neural Computing (8 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Ferroelectric and Negative Capacitance Devices (6 papers). Wenjun Chen is often cited by papers focused on Advanced Memory and Neural Computing (8 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Ferroelectric and Negative Capacitance Devices (6 papers). Wenjun Chen collaborates with scholars based in China, Macao and Australia. Wenjun Chen's co-authors include Xuchun Gui, Zikang Tang, Leilei Yang, Hai Zhu, Shaodian Yang, Xin Tang, Bilu Liu, Junhua Huang, Zhiqiang Lin and Jing Zhong and has published in prestigious journals such as Advanced Materials, Nature Communications and Advanced Functional Materials.

In The Last Decade

Wenjun Chen

19 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenjun Chen China 10 250 228 214 105 68 21 519
Muhtasim Ul Karim Sadaf United States 10 285 1.1× 221 1.0× 220 1.0× 127 1.2× 31 0.5× 15 529
Xidi Sun China 14 308 1.2× 353 1.5× 160 0.7× 171 1.6× 52 0.8× 35 632
Yanfang Meng China 8 247 1.0× 258 1.1× 86 0.4× 152 1.4× 84 1.2× 15 447
HoYeon Kim South Korea 12 254 1.0× 213 0.9× 93 0.4× 59 0.6× 57 0.8× 23 470
Masashi Miyakawa Japan 11 315 1.3× 270 1.2× 173 0.8× 196 1.9× 34 0.5× 40 525
Pengwen Guo China 11 179 0.7× 182 0.8× 133 0.6× 108 1.0× 32 0.5× 20 352
Chullhee Cho United States 8 366 1.5× 212 0.9× 267 1.2× 104 1.0× 107 1.6× 9 608
Yufei Sun China 12 381 1.5× 158 0.7× 268 1.3× 131 1.2× 91 1.3× 37 639
Xulei Wu China 11 190 0.8× 144 0.6× 100 0.5× 92 0.9× 55 0.8× 24 429
Leilai Shao United States 8 397 1.6× 422 1.9× 148 0.7× 236 2.2× 78 1.1× 27 708

Countries citing papers authored by Wenjun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjun Chen. A scholar is included among the top collaborators of Wenjun 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 Wenjun Chen. Wenjun 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
1.
Chen, Wenjun, et al.. (2025). Ultra‐Low‐Power Vertical Organic Synaptic Phototransistors for Neuromorphic Vision Preprocessing. Advanced Functional Materials. 35(48). 2 indexed citations
2.
Zhou, Zhi‐Hua, Junhua Huang, Hongzhi Chen, et al.. (2025). Ultra‐Large Modulation Range of Synaptic Plasticity in 2D Homologous Ti 3 C 2 T x ‐TiO x Heterosystem to Realize Diverse Synapses. Advanced Functional Materials. 36(4).
3.
Huang, Juntao, Hai‐Hua Huang, Wenjun Chen, et al.. (2025). Study on the conduction mechanism and performance of LaCr0.7Fe0.3O3-BaTiO3 ceramics as wide-temperature-range NTC thermistor materials. Journal of Alloys and Compounds. 1037. 182661–182661.
4.
Weng, Xuan, J. Gui, Wenjun Chen, et al.. (2025). Sliding‐Induced Out‐of‐Plane Ferroelectricity of 2D MnPS3. Advanced Functional Materials. 35(42). 1 indexed citations
5.
Chen, Wenjun, J. Gui, Xuan Weng, et al.. (2024). Mechanochemical activation of 2D MnPS3 for sub-attomolar sensing. Nature Communications. 15(1). 10195–10195. 5 indexed citations
6.
Sun, Yujie, Rongjie Zhang, Changjiu Teng, et al.. (2023). Internal ion transport in ionic 2D CuInP2S6 enabling multi-state neuromorphic computing with low operation current. Materials Today. 66. 9–16. 38 indexed citations
7.
Zhang, Rongjie, Yujie Sun, Wenjun Chen, et al.. (2023). Switchable and Reversible p+/n+ Doping in 2D Semiconductors by Ionic 2D Minerals. Advanced Functional Materials. 33(23). 5 indexed citations
8.
Huang, Junhua, Shaodian Yang, Xin Tang, et al.. (2023). Flexible, Transparent, and Wafer‐Scale Artificial Synapse Array Based on TiOx/Ti3C2Tx Film for Neuromorphic Computing. Advanced Materials. 35(33). e2303737–e2303737. 69 indexed citations
9.
Teng, Changjiu, Qiangmin Yu, Yujie Sun, et al.. (2022). Homologous gradient heterostructure‐based artificial synapses for neuromorphic computation. InfoMat. 5(1). 19 indexed citations
10.
Li, Zhenhui, et al.. (2022). Temperature Sensitivity of Flexible Co3O4/PVDF Dielectric Nanocomposites. Journal of Electronic Materials. 51(9). 5032–5041. 2 indexed citations
12.
Cao, Qing, Wenbo Zhu, Wenjun Chen, et al.. (2022). Nonsolid TiOx Nanoparticles/PVDF Nanocomposite for Improved Energy Storage Performance. ACS Applied Materials & Interfaces. 14(6). 8226–8234. 40 indexed citations
13.
Tang, Xin, Leilei Yang, Junhua Huang, et al.. (2022). Controlling sulfurization of 2D Mo2C crystal for Mo2C/MoS2-based memristor and artificial synapse. npj Flexible Electronics. 6(1). 36 indexed citations
14.
Zhu, Wenbo, et al.. (2022). Improving the comprehensive energy storage performance of composite materials through the coupling effect of AgNbO3/PVDF nanocomposite. Polymer Composites. 43(8). 5250–5259. 15 indexed citations
15.
Yang, Leilei, Wenjun Chen, Junhua Huang, et al.. (2021). Resistance Switching and Failure Behavior of the MoOx/Mo2C Heterostructure. ACS Applied Materials & Interfaces. 13(35). 41857–41865. 13 indexed citations
16.
Chen, Jianwen, Wenbo Zhu, Wenjun Chen, et al.. (2021). Automated real-time study of the defect-induced breakdown occurring on a film–electrode system under a high electric field. Review of Scientific Instruments. 92(12). 123906–123906. 3 indexed citations
17.
Chen, Wenjun, et al.. (2021). Out‐of‐Plane Resistance Switching of 2D Bi2O2Se at the Nanoscale (Adv. Funct. Mater. 52/2021). Advanced Functional Materials. 31(52). 3 indexed citations
18.
Chen, Wenjun, Huaqin Kou, Liang Chen, Fang Wang, & Xiangguo Zeng. (2019). Theory model combined with XFEM of threshold stress intensity factor and critical hydride length for delay hydride cracking. International Journal of Hydrogen Energy. 44(54). 29047–29056. 6 indexed citations
19.
Chen, Wenjun, Xuchun Gui, Leilei Yang, Hai Zhu, & Zikang Tang. (2018). Wrinkling of two-dimensional materials: methods, properties and applications. Nanoscale Horizons. 4(2). 291–320. 153 indexed citations
20.
Liang, Binghao, Zhiqiang Lin, Wenjun Chen, et al.. (2018). Ultra-stretchable and highly sensitive strain sensor based on gradient structure carbon nanotubes. Nanoscale. 10(28). 13599–13606. 91 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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