Liangbao Yang

6.9k total citations
154 papers, 5.8k citations indexed

About

Liangbao Yang is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Liangbao Yang has authored 154 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Electronic, Optical and Magnetic Materials, 70 papers in Materials Chemistry and 60 papers in Biomedical Engineering. Recurrent topics in Liangbao Yang's work include Gold and Silver Nanoparticles Synthesis and Applications (114 papers), Biosensors and Analytical Detection (43 papers) and Nanocluster Synthesis and Applications (30 papers). Liangbao Yang is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (114 papers), Biosensors and Analytical Detection (43 papers) and Nanocluster Synthesis and Applications (30 papers). Liangbao Yang collaborates with scholars based in China, Sweden and Hong Kong. Liangbao Yang's co-authors include Jinhuai Liu, Honglin Liu, Pan Li, Xianghu Tang, Guangyu Chen, Zhen Jin, Xuanhua Li, Ronglu Dong, Zhong‐Qun Tian and Meihong Ge and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Nano Letters.

In The Last Decade

Liangbao Yang

152 papers receiving 5.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liangbao Yang China 45 3.6k 2.5k 2.4k 1.8k 835 154 5.8k
Guokun Liu China 35 3.5k 1.0× 2.2k 0.9× 2.5k 1.0× 1.8k 1.0× 980 1.2× 113 6.2k
Meikun Fan China 33 2.4k 0.7× 2.2k 0.9× 1.4k 0.6× 1.2k 0.7× 663 0.8× 120 4.5k
Nicolae Leopold Romania 33 1.8k 0.5× 1.4k 0.5× 1.1k 0.4× 1.2k 0.7× 1.1k 1.3× 131 4.3k
Uğur Tamer Türkiye 41 1.2k 0.3× 2.0k 0.8× 943 0.4× 2.0k 1.1× 399 0.5× 156 4.6k
Honglin Liu China 32 1.8k 0.5× 1.4k 0.6× 1.0k 0.4× 1.2k 0.6× 447 0.5× 108 3.1k
Pan Li China 32 1.3k 0.4× 1.1k 0.5× 1.2k 0.5× 1.1k 0.6× 416 0.5× 129 3.0k
Siva Umapathy India 37 919 0.3× 861 0.3× 1.9k 0.8× 877 0.5× 1.3k 1.5× 183 5.5k
Changlong Jiang China 39 1.2k 0.3× 1.8k 0.7× 3.6k 1.5× 2.2k 1.2× 143 0.2× 143 6.0k
Shujat Ali China 37 684 0.2× 1.5k 0.6× 1.2k 0.5× 1.3k 0.7× 357 0.4× 93 3.6k
Zhiliang Jiang China 30 1.2k 0.3× 1.1k 0.4× 1.6k 0.7× 2.1k 1.2× 159 0.2× 253 3.8k

Countries citing papers authored by Liangbao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Liangbao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangbao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Liangbao Yang. A scholar is included among the top collaborators of Liangbao Yang 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 Liangbao Yang. Liangbao Yang 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, Guoliang, et al.. (2024). Ag supraparticles with 3D hot spots to actively capture molecules for sensitive detection by surface enhanced Raman spectroscopy. The Analyst. 149(6). 1759–1765. 2 indexed citations
2.
Wang, Jingxia, Guoliang Zhou, Dongyue Lin, et al.. (2023). An autofocusing method for dynamic surface-enhanced Raman spectroscopy detection realized by optimized hill-climbing algorithm with long time stable hotspots. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 299. 122820–122820. 3 indexed citations
3.
Qin, Miao, et al.. (2023). Solvent-driven biotoxin into nano-units as a versatile and sensitive SERS strategy. RSC Advances. 13(7). 4584–4589. 7 indexed citations
4.
Li, Pan, Binbin Zhou, Meihong Ge, Xiang‐Hong Jing, & Liangbao Yang. (2021). Metal coordination induced SERS nanoprobe for sensitive and selective detection of histamine in serum. Talanta. 237. 122913–122913. 20 indexed citations
5.
6.
Lin, Dongyue, Ronglu Dong, Pan Li, et al.. (2020). A novel SERS selective detection sensor for trace trinitrotoluene based on meisenheimer complex of monoethanolamine molecule. Talanta. 218. 121157–121157. 18 indexed citations
7.
He, Huan, Pan Li, Xianghu Tang, et al.. (2019). Developing cysteamine-modified SERS substrate for detection of acidic pigment with weak surface affinity. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 212. 293–299. 20 indexed citations
8.
Li, Pan, Meihong Ge, Dongyue Lin, & Liangbao Yang. (2019). Functionalized acupuncture needle as a SERS-active platform for rapid and sensitive determination of adenosine triphosphate. Analytical and Bioanalytical Chemistry. 411(22). 5669–5679. 17 indexed citations
9.
10.
Zhou, Binbin, Shaofei Li, Xianghu Tang, et al.. (2017). Real-time monitoring of plasmon-induced proton transfer of hypoxanthine in serum. Nanoscale. 9(34). 12307–12310. 14 indexed citations
11.
12.
Li, Pan, et al.. (2015). Based on time and spatial-resolved SERS mapping strategies for detection of pesticides. Talanta. 141. 1–7. 27 indexed citations
13.
Li, Minqiang, et al.. (2014). A novel paper rag as ‘D-SERS’ substrate for detection of pesticide residues at various peels. Talanta. 128. 117–124. 130 indexed citations
14.
Li, Pan, Honglin Liu, Liangbao Yang, & Jinhuai Liu. (2013). The time-resolved D-SERS vibrational spectra of pesticide thiram. Talanta. 117. 39–44. 28 indexed citations
15.
Zhou, Xia, Honglin Liu, Liangbao Yang, & Jinhuai Liu. (2013). SERS and OWGS detection of dynamic trapping molecular TNT based on a functional self-assembly Au monolayer film. The Analyst. 138(6). 1858–1858. 25 indexed citations
16.
Ye, Yingjie, Honglin Liu, Liangbao Yang, & Jinhuai Liu. (2012). Sensitive and selective SERS probe for trivalent chromium detection using citrate attached gold nanoparticles. Nanoscale. 4(20). 6442–6442. 67 indexed citations
17.
Yang, Liangbao, et al.. (2010). Ultrasensitive SERS Detection of TNT by Imprinting Molecular Recognition Using a New Type of Stable Substrate. Chemistry - A European Journal. 16(42). 12683–12693. 151 indexed citations
18.
Wang, Tingting, Liangbao Yang, Buchang Zhang, & Jinhuai Liu. (2010). Extracellular biosynthesis and transformation of selenium nanoparticles and application in H2O2 biosensor. Colloids and Surfaces B Biointerfaces. 80(1). 94–102. 198 indexed citations
19.
Lü, Jingjing, Liangbao Yang, Anjian Xie, & Jie Yu. (2009). DNA-templated photo-induced silver nanowires: Fabrication and use in detection of relative humidity. Biophysical Chemistry. 145(2-3). 91–97. 30 indexed citations
20.
Yang, Liangbao, Jun Han, Tao Luo, et al.. (2008). Morphogenesis and Crystallization of ZnS Microspheres by a Soft Template‐Assisted Hydrothermal Route: Synthesis, Growth Mechanism, and Oxygen Sensitivity. Chemistry - An Asian Journal. 4(1). 174–180. 16 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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