Qingyi Pan

3.0k total citations · 1 hit paper
36 papers, 2.7k citations indexed

About

Qingyi Pan is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Bioengineering. According to data from OpenAlex, Qingyi Pan has authored 36 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 16 papers in Materials Chemistry and 14 papers in Bioengineering. Recurrent topics in Qingyi Pan's work include Gas Sensing Nanomaterials and Sensors (25 papers), Analytical Chemistry and Sensors (14 papers) and Transition Metal Oxide Nanomaterials (11 papers). Qingyi Pan is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (25 papers), Analytical Chemistry and Sensors (14 papers) and Transition Metal Oxide Nanomaterials (11 papers). Qingyi Pan collaborates with scholars based in China, United States and Japan. Qingyi Pan's co-authors include Jiaqiang Xu, Qun Xiang, Pengcheng Xu, Zhixuan Cheng, Weijun Yu, Xiaowen Dong, Yuan Zhang, Hui Li, Jiaqiang Xu and Yuliang Chu and has published in prestigious journals such as Journal of Materials Chemistry, The Journal of Physical Chemistry C and Corrosion Science.

In The Last Decade

Qingyi Pan

32 papers receiving 2.6k citations

Hit Papers

Grain size control and gas sensing properties of ZnO gas ... 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingyi Pan China 20 2.2k 1.7k 976 901 498 36 2.7k
Abu Z. Sadek Australia 25 1.8k 0.8× 868 0.5× 874 0.9× 833 0.9× 969 1.9× 71 2.4k
Mingsong Wang China 26 1.6k 0.7× 1.5k 0.9× 576 0.6× 386 0.4× 370 0.7× 52 2.5k
Hailin Hu Mexico 25 1.4k 0.7× 919 0.5× 405 0.4× 305 0.3× 972 2.0× 111 2.1k
Yanqiong Li China 35 3.8k 1.7× 1.9k 1.1× 1.7k 1.8× 1.7k 1.9× 1.1k 2.1× 105 4.4k
Muhd Zu Azhan Yahya Malaysia 27 1.7k 0.8× 897 0.5× 334 0.3× 82 0.1× 952 1.9× 224 2.8k
M. Jayalakshmi India 24 1.2k 0.5× 1.0k 0.6× 214 0.2× 66 0.1× 547 1.1× 64 2.4k
S.Y. Ma China 30 1.6k 0.7× 878 0.5× 1.0k 1.0× 921 1.0× 252 0.5× 55 2.1k
Elena N. Konyushenko Czechia 20 1.4k 0.6× 383 0.2× 838 0.9× 672 0.7× 2.1k 4.1× 23 2.4k
Ravi Chand Singh India 32 2.3k 1.1× 1.7k 1.0× 1.1k 1.1× 1.0k 1.2× 562 1.1× 116 3.1k
Perumal Elumalai India 33 2.4k 1.1× 916 0.5× 799 0.8× 971 1.1× 347 0.7× 117 3.0k

Countries citing papers authored by Qingyi Pan

Since Specialization
Citations

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

Fields of papers citing papers by Qingyi Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyi Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyi Pan. A scholar is included among the top collaborators of Qingyi Pan 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 Qingyi Pan. Qingyi Pan 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.
Pan, Qingyi, et al.. (2024). FuturesNet: Capturing Patterns of Price Fluctuations in Domestic Futures Trading. Electronics. 13(22). 4482–4482.
3.
Xiang, Qun, et al.. (2011). The Selective Acetone Detection Based on Fe3O4 Doped WO3 Nanorods. Sensor Letters. 9(1). 128–131. 6 indexed citations
4.
Li, Hui, et al.. (2011). Synthesis of Single-Crystalline Tin Oxide Nanorods and Its Ethanol Sensing Properties Enhanced by Rare Earth Element. Sensor Letters. 9(1). 170–174. 1 indexed citations
5.
Zhang, Yuan, Qun Xiang, Jiaqiang Xu, et al.. (2009). Self-assemblies of Pd nanoparticles on the surfaces of single crystal ZnO nanowires for chemical sensors with enhanced performances. Journal of Materials Chemistry. 19(27). 4701–4701. 155 indexed citations
6.
Zhu, Yongheng, Hao Yuan, Jiaqiang Xu, Pengcheng Xu, & Qingyi Pan. (2009). Highly stable and sensitive humidity sensors based on quartz crystal microbalance coated with hexagonal lamelliform monodisperse mesoporous silica SBA-15 thin film. Sensors and Actuators B Chemical. 144(1). 164–169. 72 indexed citations
7.
Cheng, Zhixuan, et al.. (2009). Preparation and characterization of mesoporous indium oxide. Journal of Shanghai University (English Edition). 13(4). 292–295. 2 indexed citations
8.
Cheng, Zhixuan, et al.. (2009). CdSnO3 micro-cubes with porous architecture: synthesis and gas-sensing properties. CrystEngComm. 11(12). 2615–2615. 28 indexed citations
9.
Cheng, Zhixuan, et al.. (2009). Indium Oxide with Novel Morphology: Synthesis and Application in C2H5OH Gas Sensing. Crystal Growth & Design. 9(5). 2146–2151. 91 indexed citations
10.
Zhang, Yuan, Jiaqiang Xu, Qun Xiang, et al.. (2009). Brush-Like Hierarchical ZnO Nanostructures: Synthesis, Photoluminescence and Gas Sensor Properties. The Journal of Physical Chemistry C. 113(9). 3430–3435. 337 indexed citations
11.
Xu, Jiaqiang, Xiaowen Dong, Qingyi Pan, et al.. (2008). The template-free synthesis of square-shaped SnO2nanowires: the temperature effect and acetone gas sensors. Nanotechnology. 19(18). 185705–185705. 232 indexed citations
12.
Dong, Xiaowen, et al.. (2008). Gas Sensing Properties of Au Modified SnO2 Micron Rods. Current Nanoscience. 4(3). 236–239. 6 indexed citations
13.
Xu, Jiaqiang, Yuan Zhang, Yuping Chen, et al.. (2008). Uniform ZnO nanorods can be used to improve the response of ZnO gas sensor. Materials Science and Engineering B. 150(1). 55–60. 67 indexed citations
14.
Dong, Xiaowen, et al.. (2007). Intercalation behavior of n-alkylamines into an A-site defective layered perovskite H2W2O7. Journal of Solid State Chemistry. 180(3). 1125–1129. 19 indexed citations
15.
Pan, Qingyi, et al.. (2007). Direct thermal intercalation of amine into layered MoO3. Materials Science and Engineering B. 138(1). 55–59. 31 indexed citations
16.
Zhang, Daquan, Zhongxun An, Qingyi Pan, Lixin Gao, & Guo‐Ding Zhou. (2005). Comparative study of bis-piperidiniummethyl-urea and mono-piperidiniummethyl-urea as volatile corrosion inhibitors for mild steel. Corrosion Science. 48(6). 1437–1448. 75 indexed citations
17.
Pan, Qingyi, et al.. (2002). The nano-sized In2O3 powder synthesis by sol-gel method. Journal of Shanghai University (English Edition). 6(4). 353–357. 3 indexed citations
18.
Xu, Jiaqiang, et al.. (2000). Grain size control and gas sensing properties of ZnO gas sensor. Sensors and Actuators B Chemical. 66(1-3). 277–279. 660 indexed citations breakdown →
19.
Pan, Qingyi, Jianping Zhang, & Jiaqiang Xu. (1999). The influence of several doped ions on gas sensitivity of hematite. Journal of Shanghai University (English Edition). 3(3). 255–258.
20.
Pan, Qingyi, Kunihito Koumoto, & Hiroaki Yanagida. (1987). High-Temperature Electrical Conduction in Magnesium Ferrite. Journal of the Ceramic Association Japan. 95(1107). 1079–1083. 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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