Jinsong Wei

970 total citations
24 papers, 761 citations indexed

About

Jinsong Wei is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Jinsong Wei has authored 24 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 12 papers in Cellular and Molecular Neuroscience and 8 papers in Cognitive Neuroscience. Recurrent topics in Jinsong Wei's work include Advanced Memory and Neural Computing (18 papers), Neuroscience and Neural Engineering (10 papers) and Ferroelectric and Negative Capacitance Devices (9 papers). Jinsong Wei is often cited by papers focused on Advanced Memory and Neural Computing (18 papers), Neuroscience and Neural Engineering (10 papers) and Ferroelectric and Negative Capacitance Devices (9 papers). Jinsong Wei collaborates with scholars based in China, Hong Kong and Singapore. Jinsong Wei's co-authors include Qi Liu, Xumeng Zhang, Rongrong Cao, Wei Wang, Xiaolong Zhao, Shibing Long, Tuo Shi, Zuheng Wu, Jian Lü and Zhihong Yao and has published in prestigious journals such as Nature Communications, Chemical Engineering Journal and Materials.

In The Last Decade

Jinsong Wei

22 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinsong Wei China	12	711	364	241	122	72	24	761
Radu Berdan United Kingdom	13	900 1.3×	419 1.2×	207 0.9×	103 0.8×	106 1.5×	23	932
Dana Wheeler United States	4	730 1.0×	372 1.0×	138 0.6×	79 0.6×	90 1.3×	9	751
Jose Cruz-Albrecht United States	8	1.0k 1.4×	518 1.4×	310 1.3×	159 1.3×	93 1.3×	10	1.1k
Qingxi Duan China	9	691 1.0×	324 0.9×	212 0.9×	136 1.1×	142 2.0×	17	737
Erika Covi Italy	18	930 1.3×	467 1.3×	288 1.2×	142 1.2×	102 1.4×	40	982
Nathan McDonald United States	14	782 1.1×	385 1.1×	128 0.5×	149 1.2×	41 0.6×	35	867
F. Merrikh Bayat United States	13	1.2k 1.7×	535 1.5×	235 1.0×	240 2.0×	79 1.1×	17	1.2k
Roberto Carboni Italy	13	953 1.3×	436 1.2×	243 1.0×	145 1.2×	91 1.3×	16	1.0k
S. G. Hu China	15	779 1.1×	363 1.0×	219 0.9×	206 1.7×	133 1.8×	34	890
Eduardo Pérez Germany	21	1.2k 1.7×	410 1.1×	112 0.5×	124 1.0×	129 1.8×	98	1.3k

Countries citing papers authored by Jinsong Wei

Since Specialization

Citations

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

Fields of papers citing papers by Jinsong Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinsong Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Jinsong Wei. A scholar is included among the top collaborators of Jinsong Wei 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 Jinsong Wei. Jinsong Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wei, Jinsong, et al.. (2025). Water quality parameters inversion based on multispectral remote sensing. Journal of Water Process Engineering. 73. 107707–107707. 1 indexed citations

Huang, Zhihong, et al.. (2025). Laser heat-mode micro-/nano-patterning of Ge3Sb2Te6 for tunable metasurfaces. Applied Physics A. 131(6).

Tian, Meng, Jinsong Wei, Enguang Lv, et al.. (2024). Drug evaluation platform based on non-destructive and real-time in situ organoid fate state monitoring by graphene field-effect transistor. Chemical Engineering Journal. 498. 155355–155355. 26 indexed citations

Lu, Jikai, Junjie An, Jian Lü, et al.. (2023). Multicore Spiking Neuromorphic Chip in 180-nm With ReRAM Synapses and Digital Neurons. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13(4). 975–985. 6 indexed citations

Wei, Jinsong, et al.. (2023). Quantitative Analysis of Mancozeb in Water Quality Detection Based on Spectrophotometry. Journal of Testing and Evaluation. 52(1). 511–519.

Wang, Rui, Tuo Shi, Xumeng Zhang, et al.. (2022). Implementing in-situ self-organizing maps with memristor crossbar arrays for data mining and optimization. Nature Communications. 13(1). 2289–2289. 60 indexed citations

Wei, Jinsong, Zhibin Wang, Jikai Lu, et al.. (2022). FangTianSim: High-Level Cycle-Accurate Resistive Random-Access Memory-Based Multi-Core Spiking Neural Network Processor Simulator. Frontiers in Neuroscience. 15. 806325–806325. 2 indexed citations

Zhang, Xumeng, Jian Lü, Zhongrui Wang, et al.. (2021). Hybrid memristor-CMOS neurons for in-situ learning in fully hardware memristive spiking neural networks. Science Bulletin. 66(16). 1624–1633. 84 indexed citations

Lu, Jikai, et al.. (2021). RRAM-based Analog-Weight Spiking Neural Network Accelerator with in-situ Learning for IoT Applications. 13. 1–4. 1 indexed citations

10.

Zhang, Jilin, et al.. (2021). A 28nm Configurable Asynchronous SNN Accelerator with Energy-Efficient Learning. 34–39. 14 indexed citations

11.

Lü, Jian, Zuheng Wu, Xumeng Zhang, et al.. (2020). Quantitatively Evaluating the Effect of Read Noise in Memristive Hopfield Network on Solving Traveling Salesman Problem. IEEE Electron Device Letters. 41(11). 1688–1691. 18 indexed citations

12.

Fang, Yilin, Tuo Shi, Xumeng Zhang, et al.. (2020). Impact of Ta/Ti electrodes on linearities of TaOx-based resistive random-access memories for neuromorphic computing. Science China Physics Mechanics and Astronomy. 63(9). 11 indexed citations

13.

Zhang, Xumeng, Zuheng Wu, Jikai Lu, et al.. (2020). Fully Memristive SNNs with Temporal Coding for Fast and Low-power Edge Computing. 29.6.1–29.6.4. 33 indexed citations

14.

Wang, Wei, Rui Wang, Tuo Shi, et al.. (2019). A Self-Rectification and Quasi-Linear Analogue Memristor for Artificial Neural Networks. IEEE Electron Device Letters. 40(9). 1407–1410. 56 indexed citations

15.

Wei, Jinsong, Jilin Zhang, Xumeng Zhang, et al.. (2019). An Asynchronous AER Circuits with Rotation Priority Tree Arbiter for Neuromorphic Hardware with Analog Neuron. 1–4. 2 indexed citations

16.

Zhang, Jilin, Jinsong Wei, & Hong Chen. (2019). An Address Event Representation Circuits Design with Rotation Priority against Pulse Collision. Lanzhou University Institutional Repository. 1 indexed citations

17.

Wang, Rui, Tuo Shi, Xumeng Zhang, et al.. (2018). Bipolar Analog Memristors as Artificial Synapses for Neuromorphic Computing. Materials. 11(11). 2102–2102. 67 indexed citations

18.

Zhang, Xumeng, Wei Wang, Qi Liu, et al.. (2017). An Artificial Neuron Based on a Threshold Switching Memristor. IEEE Electron Device Letters. 39(2). 308–311. 325 indexed citations

19.

Wu, Yiqun, et al.. (2012). Adhesion effect of interface layers on pattern fabrication with GeSbTe as laser thermal lithography film. Microelectronic Engineering. 103. 7–11. 12 indexed citations

20.

Wei, Jinsong, et al.. (2002). Read-out of a read-only super-resolution optical disc with a Si mask. Chinese Physics. 11(10). 1073–1075. 4 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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