Pei Liang

15.3k total citations · 5 hit papers
332 papers, 13.1k citations indexed

About

Pei Liang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Analytical Chemistry. According to data from OpenAlex, Pei Liang has authored 332 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Electrical and Electronic Engineering, 115 papers in Materials Chemistry and 85 papers in Analytical Chemistry. Recurrent topics in Pei Liang's work include Analytical chemistry methods development (67 papers), Gold and Silver Nanoparticles Synthesis and Applications (52 papers) and Electrochemical Analysis and Applications (49 papers). Pei Liang is often cited by papers focused on Analytical chemistry methods development (67 papers), Gold and Silver Nanoparticles Synthesis and Applications (52 papers) and Electrochemical Analysis and Applications (49 papers). Pei Liang collaborates with scholars based in China, Singapore and United States. Pei Liang's co-authors include Haibo Shu, Dongliang Chao, Xiaohong Chen, Zexiang Shen, Dan Cao, Jianyi Lin, Yan Liu, Hong Jin Fan, Xinhui Xia and Li Guo and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Pei Liang

311 papers receiving 12.9k citations

Hit Papers

Pseudocapacitive Na-Ion Storage Boosts High Rate and Area... 2014 2026 2018 2022 2016 2018 2014 2023 2025 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei Liang China 62 6.6k 4.4k 3.4k 2.9k 1.9k 332 13.1k
Xi Chen China 64 6.1k 0.9× 7.6k 1.7× 1.7k 0.5× 1.4k 0.5× 1.8k 1.0× 400 15.8k
Yücel Şahin Türkiye 44 3.7k 0.6× 1.6k 0.4× 1.8k 0.5× 598 0.2× 1.6k 0.9× 248 7.4k
Zhidong Chen China 48 4.3k 0.6× 3.2k 0.7× 1.7k 0.5× 518 0.2× 1.3k 0.7× 453 9.0k
Haifeng Yang China 51 3.7k 0.6× 6.7k 1.5× 3.4k 1.0× 433 0.2× 1.1k 0.6× 412 12.7k
Yong Guo China 41 2.5k 0.4× 2.3k 0.5× 1.3k 0.4× 608 0.2× 680 0.4× 257 6.2k
Xing‐Jiu Huang China 73 8.3k 1.3× 5.4k 1.2× 1.3k 0.4× 613 0.2× 5.1k 2.7× 328 16.8k
Jinhuai Liu China 87 10.0k 1.5× 8.8k 2.0× 4.1k 1.2× 977 0.3× 4.0k 2.1× 380 23.9k
Nianjun Yang China 58 6.4k 1.0× 4.2k 1.0× 2.4k 0.7× 274 0.1× 2.3k 1.2× 288 11.4k
M.J. Lázaro Spain 54 3.5k 0.5× 4.9k 1.1× 1.6k 0.5× 600 0.2× 634 0.3× 291 10.3k
Fritz Scholz Germany 56 6.3k 0.9× 1.7k 0.4× 1.7k 0.5× 315 0.1× 5.4k 2.9× 333 11.3k

Countries citing papers authored by Pei Liang

Since Specialization
Citations

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

Fields of papers citing papers by Pei Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Liang. A scholar is included among the top collaborators of Pei Liang 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 Pei Liang. Pei Liang 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.
Huang, Jie, et al.. (2025). Using a new octahedron UiO-66(Ce) to enrich target molecules for highly sensitive detection of ziram. Surfaces and Interfaces. 58. 105833–105833. 2 indexed citations
3.
Zhang, Wei, Qiao Tang, Pei Liang, et al.. (2025). Advanced nanoparticle-based aptasensor for Vibrio parahaemolyticus detection in fresh shrimp: GO as an internal standard in SERS sensor. Microchemical Journal. 210. 112973–112973. 3 indexed citations
4.
Wang, Xianwei, Yue Zhai, Wei Zhan, et al.. (2025). Highly sensitive and reproducible SERS substrates based on a novel 3D waffle-like PMMA-CsPbBr3-Au ternary film. Sensors and Actuators B Chemical. 431. 137434–137434.
5.
De, Zhang, et al.. (2024). A novel method for quantitative determination of multiple substances using Raman spectroscopy combined with CWT. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 317. 124427–124427. 3 indexed citations
6.
Du, Xiaoqing, et al.. (2024). Controllable product selectivity and reaction paths in CO2 electroreduction: A study of density functional theories of small Cu M clusters. Computational Materials Science. 244. 113148–113148. 1 indexed citations
7.
Chen, Qing, Kun Pang, Qiao Tang, et al.. (2024). Exploring the charge transfer enhancement mechanism in selective SERS detection with Mo1−W S2@Ag2S nanosheets. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 325. 125133–125133. 1 indexed citations
8.
Li, Xiaoming, Zhang De, Xiubin Zhang, et al.. (2024). Realization of qualitative to semi-quantitative trace detection via SERS-ICA based on internal standard method. Talanta. 271. 125650–125650. 7 indexed citations
10.
Zhang, Yue‐Jiao, et al.. (2024). Classification of Fats and Oils Based on Raman Spectroscopy and Deep Learning. Journal of Computational Biophysics and Chemistry. 23(6). 753–764. 1 indexed citations
11.
Yang, Zhe, et al.. (2023). Raman spectrum model transfer method based on Cycle-GAN. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 304. 123416–123416. 7 indexed citations
12.
Zhang, Wei, et al.. (2023). A microfluidic platform for minute-scale synthesizing Au@Ag nanocubes. Materials Today Chemistry. 34. 101825–101825. 10 indexed citations
13.
Wang, Le, Shuxing Li, Shiro Funahashi, et al.. (2023). Broadband orange-emitting Sr 3Si 8O 4N 10:Eu 2+ phosphor discovered by a modified single-particle-diagnosis approach. Journal of Advanced Ceramics. 12(4). 734–746. 13 indexed citations
14.
Chen, Junjie, et al.. (2023). Rapid Fabrication of Homogeneous Submicron Silver Particles via a Microfluidic Chip and Use as a SERS Detection Substrate. Chemosensors. 11(4). 232–232. 9 indexed citations
15.
De, Zhang, Dejiang Ni, Fei Guo, et al.. (2023). Screening and Evaluation of Thiamethoxam Aptamer Based on Pressurized GO-SELEX and Its Sensor Application. Biosensors. 13(2). 155–155. 16 indexed citations
16.
Zhao, Shuai, Huaping Gong, Zhi Yu, et al.. (2023). Recent Progress in the Application of Metal Organic Frameworks in Surface-Enhanced Raman Scattering Detection. Biosensors. 13(4). 479–479. 20 indexed citations
17.
De, Zhang, Mingxin He, Minhui Cao, et al.. (2023). A highly effective SERS platform formed by the fabrication of Ag@ZIF-8@Au nanoparticles for rapid detection of acetamiprid in environment. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 308. 123754–123754. 14 indexed citations
18.
Jin, Shangzhong, et al.. (2019). A Review of Chinese Raman Spectroscopy Research Over the Past Twenty Years. Applied Spectroscopy. 74(2). 130–159. 9 indexed citations
19.
Liang, Pei. (2010). Neural Mechanism of Figural Inductive Reasoning: An fMRI Study. Acta Psychologica Sinica. 1 indexed citations
20.
Ma, Xinguo, Jianjun Jiang, Pei Liang, & Juan Wang. (2007). An Accurate Theoretical Study on Intrinsic Defect Energetics in Rutile TiO2. 17(10). 721–8. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026