Peng Lin

13.8k total citations · 6 hit papers
186 papers, 9.2k citations indexed

About

Peng Lin is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Peng Lin has authored 186 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Electrical and Electronic Engineering, 36 papers in Cellular and Molecular Neuroscience and 23 papers in Oncology. Recurrent topics in Peng Lin's work include Advanced Memory and Neural Computing (55 papers), Neuroscience and Neural Engineering (29 papers) and Ferroelectric and Negative Capacitance Devices (25 papers). Peng Lin is often cited by papers focused on Advanced Memory and Neural Computing (55 papers), Neuroscience and Neural Engineering (29 papers) and Ferroelectric and Negative Capacitance Devices (25 papers). Peng Lin collaborates with scholars based in China, United States and Canada. Peng Lin's co-authors include Qiangfei Xia, Zhongrui Wang, J. Joshua Yang, Hao Jiang, Qing Wu, Mark Barnell, R. Stanley Williams, Ning Ge, Miao Hu and John Paul Strachan and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Peng Lin

174 papers receiving 9.1k citations

Hit Papers

Memristors with diffusive dynamics as synaptic emulators ... 2016 2026 2019 2022 2016 2017 2018 2017 2019 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Lin China 36 7.3k 3.2k 1.4k 1.2k 1.1k 186 9.2k
Gang Liu China 48 5.9k 0.8× 1.8k 0.6× 2.4k 1.7× 466 0.4× 2.6k 2.3× 198 8.2k
Chen Ge China 40 4.0k 0.6× 851 0.3× 2.4k 1.7× 506 0.4× 1.0k 0.9× 306 6.9k
Sang‐Bum Kim South Korea 37 4.4k 0.6× 786 0.2× 2.3k 1.6× 478 0.4× 1.1k 1.0× 248 7.0k
Ling Li China 46 6.0k 0.8× 576 0.2× 2.0k 1.4× 154 0.1× 1.3k 1.2× 362 7.7k
Young‐Bae Kim South Korea 45 4.6k 0.6× 851 0.3× 1.3k 0.9× 147 0.1× 780 0.7× 268 7.9k
Xiaolong Zhao China 41 3.3k 0.5× 962 0.3× 2.7k 1.9× 338 0.3× 733 0.7× 201 6.2k
Jong‐Ho Lee South Korea 40 6.7k 0.9× 615 0.2× 1.8k 1.3× 284 0.2× 442 0.4× 592 8.0k
Hiroshi Kawaguchi Japan 42 4.6k 0.6× 310 0.1× 542 0.4× 815 0.7× 1.4k 1.2× 404 8.7k
Wen J. Li Hong Kong 45 3.2k 0.4× 229 0.1× 1.1k 0.8× 411 0.3× 753 0.7× 591 8.2k
Wenbin Zhang China 53 2.3k 0.3× 617 0.2× 4.6k 3.2× 166 0.1× 2.1k 1.9× 361 10.7k

Countries citing papers authored by Peng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Peng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Lin. A scholar is included among the top collaborators of Peng Lin 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 Peng Lin. Peng Lin 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.
Shi, Caiping, Wanyuan Qu, Peng Lin, et al.. (2025). An overhead-reduced, efficient, fully analog neural-network computing hardware. Science Advances. 11(43). eadv7555–eadv7555.
2.
Yu, Xiao, Peng Chen, Huaze Zhu, et al.. (2025). Bio-plausible reconfigurable spiking neuron for neuromorphic computing. Science Advances. 11(6). eadr6733–eadr6733. 14 indexed citations
3.
Qin, Qiong, Peng Lin, Dun Liu, et al.. (2024). Development and validation of a multi-modal ultrasomics model to predict response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. BMC Medical Imaging. 24(1). 65–65. 2 indexed citations
4.
Li, Peng, et al.. (2024). Case Report: Fetomaternal hemorrhage and its association with pronounced neonatal anemia. Frontiers in Pediatrics. 12. 1423786–1423786.
5.
Luo, Jing, Jianmei Wang, Peng Lin, et al.. (2024). Comprehensive analysis of the prognostic and immunological role of cavins in non-small cell lung cancer. BMC Cancer. 24(1). 1525–1525. 1 indexed citations
6.
Lin, Peng, et al.. (2024). Robust returns ranking prediction and portfolio optimization for M6. International Journal of Forecasting. 41(4). 1494–1504. 3 indexed citations
7.
Zhang, Junyan, et al.. (2024). Influence of Reed Fiber Length and Dosage on the Properties of Reed-Fiber-Modified Bitumen and Bituminous Mortar. Buildings. 14(9). 2749–2749. 1 indexed citations
8.
Zhang, Woyu, Ning Lin, Yifei Yu, et al.. (2024). Semantic memory–based dynamic neural network using memristive ternary CIM and CAM for 2D and 3D vision. Science Advances. 10(33). eado1058–eado1058. 4 indexed citations
9.
Zhang, Xumeng, Jiaxue Zhu, Chao Li, et al.. (2024). Firing feature-driven neural circuits with scalable memristive neurons for robotic obstacle avoidance. Nature Communications. 15(1). 4318–4318. 27 indexed citations
10.
Liu, Lin, Junpeng Shi, Shanshan Peng, et al.. (2023). Biodegradable near-infrared-IIb lanthanide-doped inorganic nanoparticles with red up-conversion luminescence for bioimaging and photodynamic therapy. Science China Materials. 66(7). 2893–2901. 18 indexed citations
11.
Wu, Lei‐Lei, Lihong Qiu, Xiaolu Chen, et al.. (2023). Reconsidering N component of cancer staging for T1-2N0-2M0 small-cell lung cancer: a retrospective study based on multicenter cohort. Respiratory Research. 24(1). 168–168. 3 indexed citations
12.
Zhang, Qi, et al.. (2023). Ferroptosis in cardiovascular diseases: role and mechanism. Cell & Bioscience. 13(1). 226–226. 17 indexed citations
13.
Wang, Shaocong, Yi Li, Dingchen Wang, et al.. (2023). Echo state graph neural networks with analogue random resistive memory arrays. Nature Machine Intelligence. 5(2). 104–113. 54 indexed citations
14.
Lin, Peng, Xiaolin Tan, Xuhui Yang, et al.. (2022). The interlayer coupling modulation of a g-C3N4/WTe2 heterostructure for solar cell applications. RSC Advances. 12(2). 998–1004. 11 indexed citations
15.
Yeon, Han‐Wool, Peng Lin, Chanyeol Choi, et al.. (2020). Publisher Correction: Alloying conducting channels for reliable neuromorphic computing. Nature Nanotechnology. 15(7). 615–615. 4 indexed citations
16.
Chen, Jianhui, Xiaolin Tan, Peng Lin, et al.. (2019). Comprehensive understanding of intrinsic mobility in the monolayers of III–VI group 2D materials. Physical Chemistry Chemical Physics. 21(39). 21898–21907. 42 indexed citations
17.
Bae, Sang-Hoon, Hyun S. Kum, Wei Kong, et al.. (2019). Integration of bulk materials with two-dimensional materials for physical coupling and applications. Nature Materials. 18(6). 550–560. 237 indexed citations
18.
Li, Can, Lili Han, Hao Jiang, et al.. (2017). Three-dimensional crossbar arrays of self-rectifying Si/SiO2/Si memristors. Nature Communications. 8(1). 15666–15666. 190 indexed citations
19.
Wang, Zhongrui, Saumil Joshi, Sergey Savel’ev, et al.. (2016). Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing. Nature Materials. 16(1). 101–108. 1899 indexed citations breakdown →
20.
Wang, Xiaoli, et al.. (2015). Optimization of Ultrasound-Assisted Extraction of Tannin from <em>Cynomorium songaricum</em>. Advance Journal of Food Science and Technology. 9(3). 212–214. 1 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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