Junqing Wei

731 total citations
51 papers, 534 citations indexed

About

Junqing Wei is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Junqing Wei has authored 51 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 15 papers in Biomedical Engineering and 13 papers in Materials Chemistry. Recurrent topics in Junqing Wei's work include 2D Materials and Applications (12 papers), Advanced Memory and Neural Computing (9 papers) and Gas Sensing Nanomaterials and Sensors (6 papers). Junqing Wei is often cited by papers focused on 2D Materials and Applications (12 papers), Advanced Memory and Neural Computing (9 papers) and Gas Sensing Nanomaterials and Sensors (6 papers). Junqing Wei collaborates with scholars based in China, United States and Norway. Junqing Wei's co-authors include Kuibo Lan, Kailiang Zhang, Guoxuan Qin, Ruibing Chen, Fang Wang, Zhi Wang, Baojun Zhang, Baozeng Zhou, Jiajun Wang and Yi Li and has published in prestigious journals such as Applied Physics Letters, The Journal of Physical Chemistry B and ACS Applied Materials & Interfaces.

In The Last Decade

Junqing Wei

46 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junqing Wei China 13 205 177 128 76 44 51 534
Di Chen China 12 222 1.1× 222 1.3× 86 0.7× 29 0.4× 27 0.6× 32 497
Da‐Woon Jeong South Korea 17 373 1.8× 245 1.4× 250 2.0× 113 1.5× 84 1.9× 72 950
Dhanushkodi Mariappan United States 7 116 0.6× 120 0.7× 170 1.3× 34 0.4× 33 0.8× 9 359
Marta Valledor Spain 16 194 0.9× 417 2.4× 169 1.3× 121 1.6× 26 0.6× 47 857
Balakrishnan Shankar India 11 204 1.0× 239 1.4× 103 0.8× 15 0.2× 48 1.1× 46 563
Pramod Kumar India 14 98 0.5× 320 1.8× 275 2.1× 40 0.5× 60 1.4× 33 663
J.C. Campo Spain 18 201 1.0× 395 2.2× 208 1.6× 136 1.8× 35 0.8× 92 914
Sun-Ho Kim South Korea 18 275 1.3× 429 2.4× 388 3.0× 46 0.6× 77 1.8× 49 917

Countries citing papers authored by Junqing Wei

Since Specialization
Citations

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

Fields of papers citing papers by Junqing Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junqing Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Junqing Wei. A scholar is included among the top collaborators of Junqing 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 Junqing Wei. Junqing Wei 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.
Zhou, L., Junqing Wei, Yaodong Liu, et al.. (2025). Cooperative Biomemristor Based on PEDOT:PSS-Pectin: Realizing Artificial Synapses and High-Precision Reservoir Computing. The Journal of Physical Chemistry B. 129(45). 11872–11880.
2.
Wei, Junqing, Sen Zhang, Yingde Li, et al.. (2025). Deep learning predicts potential reassortments of avian H5N1 with human influenza viruses. National Science Review. 12(12). nwaf396–nwaf396.
3.
Wang, Fang, et al.. (2025). Highly Crystalline Bi2O2Se Nanosheet Growth by Dual-Source Independent Control Technology for Photodetector. ACS Applied Nano Materials. 8(14). 7015–7025.
4.
Shi, Yao, Fang Wang, Junqing Wei, et al.. (2025). Deciphering mechanisms of oxygen vacancy conducting channel-based LiSiOx artificial nociceptors. Vacuum. 238. 114296–114296.
5.
Yang, Chen, Yangyang Xie, Lei Zheng, et al.. (2025). High Performance Phototransistor Based on 0D-CsPbBr3/2D-MoS2 Heterostructure with Gate Tunable Photo-Response. Nanomaterials. 15(4). 307–307. 2 indexed citations
6.
Lin, Xin, Fang Wang, Kai Liu, et al.. (2024). Vacancy-driven resistive switching behavior based on wafer-scale MoSe2 artificial synapses. Applied Surface Science. 678. 161050–161050. 3 indexed citations
7.
Wang, Zhi, Weichao Ma, Junqing Wei, et al.. (2024). High-performance peptide biosensor based on unified structure of lotus silk. Talanta. 276. 126280–126280. 3 indexed citations
8.
Lan, Kuibo, et al.. (2024). High-performance PANI sensor on silicon nanowire arrays for sub-ppb NH3 detection. Talanta. 282. 127086–127086. 3 indexed citations
9.
Zhang, Kaiyi, Fang Wang, Lei Zheng, et al.. (2024). “Cage-confinement” controlled dimensionality conversion of Bi2O2Se crystals towards high-performance phototransistors. Journal of Materials Chemistry C. 12(32). 12571–12581. 1 indexed citations
10.
Li, Zhen, Junqing Wei, Xianggao Li, Shirong Wang, & Guoxuan Qin. (2024). Enhancing the Performance of MoS2 Field-Effect Transistors Using Self-Assembled Monolayers: A Promising Strategy to Alleviate Dielectric Layer Scattering and Improve Device Performance. Molecules. 29(17). 3988–3988. 1 indexed citations
11.
Zhou, L., Junqing Wei, Kuibo Lan, et al.. (2024). A pectin-based artificial nociceptor enabling actual tactile perception. Journal of Materials Chemistry C. 12(48). 19586–19594. 1 indexed citations
12.
Ji, Ziheng, Junqing Wei, Fengting Luo, et al.. (2023). Investigating on sensing mechanism of MoS2-FET biosensors in response to proteins. Nanotechnology. 34(43). 435503–435503. 3 indexed citations
13.
Shan, Xin, Fang Wang, Yangyang Xie, et al.. (2023). Dual-conductivity mechanism investigation of 2D α-MoO3-based multi-level memristor. Science China Materials. 66(12). 4773–4781. 9 indexed citations
14.
Wei, Junqing, Zhihan Zhao, Fengting Luo, et al.. (2021). Sensitive and quantitative detection of SARS-CoV-2 antibodies from vaccinated serum by MoS 2 -field effect transistor. 2D Materials. 9(1). 15030–15030. 14 indexed citations
15.
Wang, Zhi, Weichao Ma, Junqing Wei, et al.. (2021). High-performance olfactory receptor-derived peptide sensor for trimethylamine detection based on Steglich esterification reaction and native chemical ligation connection. Biosensors and Bioelectronics. 195. 113673–113673. 31 indexed citations
16.
Lan, Kuibo, Zhi Wang, Xiaodong Yang, et al.. (2021). Flexible silicon nanowires sensor for acetone detection on plastic substrates. Nanotechnology. 33(15). 155502–155502. 11 indexed citations
17.
Shan, Xin, Fang Wang, Kai Hu, et al.. (2021). Recent advances in synthesis and memory computing of large-area <i>α</i>-MoO<sub>3</sub>. Acta Physica Sinica. 70(9). 98103–98103. 2 indexed citations
18.
Li, Yi, Jiajun Wang, Baozeng Zhou, et al.. (2018). Tunable interlayer coupling and Schottky barrier in graphene and Janus MoSSe heterostructures by applying an external field. Physical Chemistry Chemical Physics. 20(37). 24109–24116. 105 indexed citations
19.
Guo, Tao, et al.. (2015). Optimization and Modeling of Ultrasound-assisted Extraction of Polysaccharides from <em>Cynomorium songaricum</em> and &#945;-glucosidase Inhibitory Activity. Advance Journal of Food Science and Technology. 7(2). 67–73. 2 indexed citations
20.
Ma, Hui, et al.. (2015). Aqueous Two-phase Extraction of Polysaccharide from <em>Potentilla anserine</em> L.. Advance Journal of Food Science and Technology. 9(10). 807–811. 2 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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