Wei Lü

43.3k total citations · 23 hit papers
398 papers, 33.7k citations indexed

About

Wei Lü is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Wei Lü has authored 398 papers receiving a total of 33.7k indexed citations (citations by other indexed papers that have themselves been cited), including 275 papers in Electrical and Electronic Engineering, 89 papers in Materials Chemistry and 72 papers in Biomedical Engineering. Recurrent topics in Wei Lü's work include Advanced Memory and Neural Computing (150 papers), Ferroelectric and Negative Capacitance Devices (82 papers) and Neuroscience and Neural Engineering (52 papers). Wei Lü is often cited by papers focused on Advanced Memory and Neural Computing (150 papers), Ferroelectric and Negative Capacitance Devices (82 papers) and Neuroscience and Neural Engineering (52 papers). Wei Lü collaborates with scholars based in United States, China and Australia. Wei Lü's co-authors include Charles M. Lieber, Ting‐Chang Chang, Sung Hyun Jo, Mohammed A. Zidan, John Paul Strachan, Yuchao Yang, Xiaojian Zhu, Pinaki Mazumder, Idongesit E. Ebong and Sungho Kim and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Wei Lü

382 papers receiving 33.0k citations

Hit Papers

Nanoscale Memristor Devic... 2004 2026 2011 2018 2010 2017 2007 2006 2012 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wei Lü 27.6k 9.9k 7.6k 5.8k 4.4k 398 33.7k
H.‐S. Philip Wong 32.9k 1.2× 5.3k 0.5× 14.8k 2.0× 6.7k 1.1× 3.7k 0.8× 643 39.6k
J. Joshua Yang 31.7k 1.1× 13.8k 1.4× 6.3k 0.8× 1.6k 0.3× 5.9k 1.3× 266 35.7k
Cheol Seong Hwang 33.6k 1.2× 4.9k 0.5× 20.9k 2.8× 3.8k 0.6× 5.9k 1.3× 802 38.2k
Rainer Waser 38.1k 1.4× 10.1k 1.0× 25.2k 3.3× 6.3k 1.1× 8.5k 1.9× 852 49.2k
Qiangfei Xia 14.8k 0.5× 6.2k 0.6× 3.0k 0.4× 1.4k 0.2× 2.1k 0.5× 137 16.4k
Tae‐Woo Lee 25.0k 0.9× 2.3k 0.2× 14.4k 1.9× 6.2k 1.1× 9.1k 2.1× 481 30.8k
Ye Zhou 11.8k 0.4× 3.9k 0.4× 4.4k 0.6× 3.4k 0.6× 4.0k 0.9× 389 16.0k
Qi Liu 16.7k 0.6× 5.3k 0.5× 6.1k 0.8× 1.2k 0.2× 3.8k 0.9× 532 20.0k
Ming Liu 14.2k 0.5× 3.8k 0.4× 6.3k 0.8× 1.5k 0.3× 3.3k 0.7× 486 18.1k
Jianshi Tang 8.9k 0.3× 2.4k 0.2× 3.7k 0.5× 1.4k 0.2× 1.5k 0.3× 217 13.2k

Countries citing papers authored by Wei Lü

Since Specialization
Citations

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

Fields of papers citing papers by Wei Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Lü. A scholar is included among the top collaborators of Wei Lü 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 Wei Lü. Wei Lü 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.
Yu, Feilong, Jin Chen, Xingjun Wang, et al.. (2025). Topologically Engineered High-Q Quasi-BIC Metasurfaces for Enhanced Near-Infrared Emission in PbS Quantum Dots. Nano Letters. 25(6). 2357–2365. 10 indexed citations
2.
Shao, Jun, et al.. (2024). Infrared-modulated photoluminescence spectroscopy: From wide-band coverage to micro-area and high-throughput scanning imaging. Acta Physica Sinica. 74(1). 17801–17801. 2 indexed citations
3.
Wang, Ziyu, Yuting Wu, Yongmo Park, & Wei Lü. (2024). Safe, secure and trustworthy compute-in-memory accelerators. Nature Electronics. 7(12). 1086–1097. 2 indexed citations
4.
Park, Yongmo, Subhankar Pal, Aporva Amarnath, et al.. (2024). Dramaton: A Near-DRAM Accelerator for Large Number Theoretic Transforms. IEEE Computer Architecture Letters. 23(1). 108–111. 4 indexed citations
5.
Chae, Sieun, Tony Chiang, Matthew Webb, et al.. (2024). Efficient data processing using tunable entropy-stabilized oxide memristors. Nature Electronics. 7(6). 466–474. 14 indexed citations
6.
Krestinskaya, Olga, Mohammed E. Fouda, Kaoutar El Maghraoui, et al.. (2024). Neural architecture search for in-memory computing-based deep learning accelerators. 1(6). 374–390. 11 indexed citations
7.
Wu, Yuting, Qiwen Wang, Ziyu Wang, et al.. (2023). Bulk‐Switching Memristor‐Based Compute‐In‐Memory Module for Deep Neural Network Training. Advanced Materials. 35(46). e2305465–e2305465. 27 indexed citations
8.
Dick, Robert P., Rob Aitken, John Paul Strachan, et al.. (2023). Research Challenges for Energy-Efficient Computing in Automated Vehicles. Computer. 56(3). 47–58. 3 indexed citations
9.
Wang, Ziyu, et al.. (2023). Side-Channel Attack Analysis on In-Memory Computing Architectures. IEEE Transactions on Emerging Topics in Computing. 12(1). 109–121. 25 indexed citations
10.
Eshraghian, Jason K., Max Ward, Emre Neftci, et al.. (2023). Training Spiking Neural Networks Using Lessons From Deep Learning. Proceedings of the IEEE. 111(9). 1016–1054. 297 indexed citations breakdown →
11.
Park, Yongmo, et al.. (2022). RM-NTT: An RRAM-Based Compute-in-Memory Number Theoretic Transform Accelerator. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 8(2). 93–101. 14 indexed citations
12.
Chen, Po‐Hsun, Chih-Yang Lin, Ting‐Chang Chang, et al.. (2022). Investigating Selectorless Property within Niobium Devices for Storage Applications. ACS Applied Materials & Interfaces. 14(1). 2343–2350. 15 indexed citations
13.
Lü, Wei, et al.. (2022). Electrochemical Desalination Using a Hybrid Redox-Flow Cell with a Ceramic Ion Conductor. ECS Meeting Abstracts. MA2022-02(27). 1058–1058. 1 indexed citations
14.
Lü, Wei, et al.. (2022). An Expressway Driving Stress Prediction Model Based on Vehicle, Road and Environment Features. IEEE Access. 10. 57212–57226. 11 indexed citations
15.
Wang, Xinxin, et al.. (2021). TAICHI: A Tiled Architecture for In-Memory Computing and Heterogeneous Integration. IEEE Transactions on Circuits & Systems II Express Briefs. 69(2). 559–563. 12 indexed citations
16.
Lin, Chih-Yang, Yi‐Ting Tseng, Po‐Hsun Chen, et al.. (2020). A high-speed MIM resistive memory cell with an inherent vanadium selector. Applied Materials Today. 21. 100848–100848. 15 indexed citations
17.
Wang, Xinxin, Mohammed A. Zidan, & Wei Lü. (2020). A Crossbar-Based In-Memory Computing Architecture. IEEE Transactions on Circuits and Systems I Regular Papers. 67(12). 4224–4232. 17 indexed citations
18.
Zhou, Bin, Shaoxiang Shen, Wei Lü, et al.. (2020). The Mars rover subsurface penetrating radar onboard China's Mars 2020 mission. Earth and Planetary Physics. 4(4). 1–10. 49 indexed citations
19.
Zidan, Mohammed A., YeonJoo Jeong, Jihang Lee, et al.. (2018). A general memristor-based partial differential equation solver. Nature Electronics. 1(7). 411–420. 201 indexed citations
20.
Zidan, Mohammed A., YeonJoo Jeong, Jong Hoon Shin, et al.. (2017). Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing. 4(4). 698–710. 28 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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