Sen Liu

2.1k total citations · 1 hit paper
60 papers, 1.8k citations indexed

About

Sen Liu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, Sen Liu has authored 60 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Electrical and Electronic Engineering, 17 papers in Cellular and Molecular Neuroscience and 13 papers in Materials Chemistry. Recurrent topics in Sen Liu's work include Advanced Memory and Neural Computing (47 papers), Ferroelectric and Negative Capacitance Devices (27 papers) and Neuroscience and Neural Engineering (13 papers). Sen Liu is often cited by papers focused on Advanced Memory and Neural Computing (47 papers), Ferroelectric and Negative Capacitance Devices (27 papers) and Neuroscience and Neural Engineering (13 papers). Sen Liu collaborates with scholars based in China, France and Singapore. Sen Liu's co-authors include Qi Liu, Qingjiang Li, Xiaolong Zhao, Shibing Long, Jingsheng Chen, Jianhui Zhao, Xiangyang Liu, Xiaobing Yan, Zhenyu Zhou and Hangbing Lv and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sen Liu

57 papers receiving 1.7k citations

Hit Papers

Memristor with Ag‐Cluster... 2017 2026 2020 2023 2017 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
Sen Liu China 17 1.7k 757 414 317 187 60 1.8k
Jihang Lee United States 15 1.5k 0.9× 555 0.7× 444 1.1× 349 1.1× 167 0.9× 16 1.6k
Yifei Pei China 20 1.8k 1.1× 838 1.1× 438 1.1× 492 1.6× 139 0.7× 75 2.1k
Qingjiang Li China 19 1.3k 0.8× 586 0.8× 225 0.5× 213 0.7× 211 1.1× 113 1.4k
Tianqing Wan China 15 1.3k 0.8× 486 0.6× 223 0.5× 255 0.8× 173 0.9× 22 1.4k
Zhong Sun China 18 1.2k 0.7× 404 0.5× 166 0.4× 196 0.6× 158 0.8× 48 1.4k
Zhanpeng Wang China 17 2.0k 1.2× 788 1.0× 614 1.5× 438 1.4× 231 1.2× 58 2.2k
Lifeng Liu China 27 2.7k 1.7× 781 1.0× 602 1.5× 734 2.3× 182 1.0× 138 3.0k
Ya Lin China 22 1.6k 0.9× 734 1.0× 507 1.2× 248 0.8× 169 0.9× 69 1.7k
Alessandro Bricalli Italy 17 1.3k 0.8× 519 0.7× 201 0.5× 192 0.6× 201 1.1× 32 1.4k
I‐Ting Wang Taiwan 17 1.2k 0.7× 497 0.7× 172 0.4× 156 0.5× 109 0.6× 44 1.3k

Countries citing papers authored by Sen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Sen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Sen Liu. A scholar is included among the top collaborators of Sen Liu 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 Sen Liu. Sen Liu 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.
Yan, Shaoan, Pei Xu, Gang Li, et al.. (2025). Artificial intelligence-driven phase stability evaluation and new dopants identification of hafnium oxide-based ferroelectric materials. npj Computational Materials. 11(1). 6 indexed citations
2.
Yang, Peng, Hui Xu, Sen Liu, et al.. (2025). Highly-reliable ferroelectric thin-film transistors array for hardware implementation of image classification. Journal of Material Science and Technology. 231. 20–29. 2 indexed citations
3.
Luo, Xiaopeng, Yang Liu, Yi Sun, et al.. (2024). The Optical-Electronic Integrated Spiking Neurons Based on Antiferroelectric Thin-Film Transistors. IEEE Transactions on Electron Devices. 71(10). 6442–6447. 2 indexed citations
4.
Wang, Yongzhou, Wei Wang, Hui Xu, et al.. (2024). Nanolayered NbO2-Based Dynamic Memristor for Leaky Integrate and Fire Neuron. ACS Applied Nano Materials. 7(9). 10679–10689. 6 indexed citations
5.
Yan, Shaoan, Yingfang Zhu, Gang Li, et al.. (2023). Influence of metal electrodes on the irradiation resistance of HZO ferroelectric thin film capacitors and mechanism analysis. Journal of Alloys and Compounds. 976. 173175–173175. 5 indexed citations
6.
Li, Qingjiang, et al.. (2023). A large memory window and low power consumption self‐rectifying memristor for electronic synapse. Electronics Letters. 59(2). 10 indexed citations
7.
Luo, Xiaopeng, et al.. (2023). Multistate Capability Improvement of BEOL Compatible FeFET by Introducing an Al2O3 Interlayer. IEEE Transactions on Electron Devices. 70(11). 5632–5637. 2 indexed citations
8.
Wang, Wei, Sen Liu, Qingjiang Li, et al.. (2022). Fast and Reconfigurable Logic Synthesis in Memristor Crossbar Array. SHILAP Revista de lepidopterología. 4(12). 7 indexed citations
9.
Zhang, Xumeng, Sen Liu, Jikai Lu, et al.. (2022). Compact artificial neuron based on anti-ferroelectric transistor. Nature Communications. 13(1). 7018–7018. 79 indexed citations
10.
Li, Kun, Yi Sun, Wei Wang, et al.. (2020). Configurable activation function realized by non-linear memristor for neural network. AIP Advances. 10(8). 2 indexed citations
11.
Liu, Sen, Kun Li, Yi Sun, et al.. (2019). A TaOx-Based Electronic Synapse With High Precision for Neuromorphic Computing. IEEE Access. 7. 184700–184706. 9 indexed citations
12.
Li, Jiwei, Hui Xu, Shengyang Sun, et al.. (2019). Enhanced Spiking Neural Network with forgetting phenomenon based on electronic synaptic devices. Neurocomputing. 408. 21–30. 5 indexed citations
13.
Sun, Yi, Hui Xu, Chao Wang, et al.. (2018). A Ti/AlOx/TaOx/Pt Analog Synapse for Memristive Neural Network. IEEE Electron Device Letters. 39(9). 1298–1301. 46 indexed citations
14.
Sun, Yi, Hui Xu, Sen Liu, et al.. (2018). Short-Term and Long-Term Plasticity Mimicked in Low-Voltage Ag/GeSe/TiN Electronic Synapse. IEEE Electron Device Letters. 39(4). 492–495. 62 indexed citations
15.
Cao, Rongrong, Sen Liu, Qi Liu, et al.. (2017). Improvement of Device Reliability by Introducing a BEOL-Compatible TiN Barrier Layer in CBRAM. IEEE Electron Device Letters. 38(10). 1371–1374. 33 indexed citations
16.
Zhang, Xumeng, Sen Liu, Xiaolong Zhao, et al.. (2017). Emulating Short-Term and Long-Term Plasticity of Bio-Synapse Based on Cu/a-Si/Pt Memristor. IEEE Electron Device Letters. 38(9). 1208–1211. 156 indexed citations
17.
Yan, Xiaobing, Jianhui Zhao, Sen Liu, et al.. (2017). Memristor with Ag‐Cluster‐Doped TiO2 Films as Artificial Synapse for Neuroinspired Computing. Advanced Functional Materials. 28(1). 394 indexed citations breakdown →
18.
Zhao, Xiaolong, Sen Liu, Jiebin Niu, et al.. (2017). Confining Cation Injection to Enhance CBRAM Performance by Nanopore Graphene Layer. Small. 13(35). 157 indexed citations
19.
Liu, Sen, Xiaolong Zhao, Qingjiang Li, et al.. (2016). Analysis of the Negative-SET Behaviors in Cu/ZrO2/Pt Devices. Nanoscale Research Letters. 11(1). 542–542. 22 indexed citations
20.
Liu, Sen, Nianduan Lu, Xiaolong Zhao, et al.. (2016). Memory Devices: Eliminating Negative‐SET Behavior by Suppressing Nanofilament Overgrowth in Cation‐Based Memory (Adv. Mater. 48/2016). Advanced Materials. 28(48). 10809–10809. 7 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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