Guang Chu

2.1k total citations
98 papers, 1.7k citations indexed

About

Guang Chu is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Biomaterials. According to data from OpenAlex, Guang Chu has authored 98 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Materials Chemistry, 28 papers in Electronic, Optical and Magnetic Materials and 18 papers in Biomaterials. Recurrent topics in Guang Chu's work include Liquid Crystal Research Advancements (19 papers), Advanced Cellulose Research Studies (18 papers) and Pickering emulsions and particle stabilization (11 papers). Guang Chu is often cited by papers focused on Liquid Crystal Research Advancements (19 papers), Advanced Cellulose Research Studies (18 papers) and Pickering emulsions and particle stabilization (11 papers). Guang Chu collaborates with scholars based in China, Israel and United States. Guang Chu's co-authors include Eyal Zussman, Dan Qu, Sheng Chu, Yan Xu, Xuechen Chen, Huiqiang Liu, Gleb Vasilyev, Orlando J. Rojas, Xuesi Wang and Tianrui Chen and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Guang Chu

95 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guang Chu China 25 618 513 497 276 264 98 1.7k
Teresa Sibillano Italy 35 757 1.2× 754 1.5× 139 0.3× 611 2.2× 530 2.0× 123 3.2k
Krishnan Venkatakrishnan Canada 28 747 1.2× 130 0.3× 622 1.3× 1.6k 5.7× 401 1.5× 172 2.9k
Takashi Iwamoto Japan 24 552 0.9× 117 0.2× 150 0.3× 435 1.6× 423 1.6× 98 1.5k
Maurizio Masi Italy 28 401 0.6× 450 0.9× 138 0.3× 719 2.6× 558 2.1× 125 2.4k
Robert Jones Australia 22 664 1.1× 71 0.1× 523 1.1× 430 1.6× 484 1.8× 76 1.9k
Shūichi Satō Japan 21 357 0.6× 285 0.6× 59 0.1× 277 1.0× 286 1.1× 174 1.9k
L. Kavitha India 37 1.1k 1.8× 622 1.2× 79 0.2× 1.6k 5.8× 374 1.4× 140 3.7k
Zhijun Guo China 26 364 0.6× 186 0.4× 251 0.5× 670 2.4× 482 1.8× 92 1.7k
Manish Dubey United States 21 340 0.6× 140 0.3× 29 0.1× 398 1.4× 586 2.2× 65 1.5k
Ping He China 25 905 1.5× 328 0.6× 292 0.6× 660 2.4× 247 0.9× 78 2.0k

Countries citing papers authored by Guang Chu

Since Specialization
Citations

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

Fields of papers citing papers by Guang Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Chu. A scholar is included among the top collaborators of Guang Chu 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 Guang Chu. Guang Chu 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.
Wu, Huaxing, Yunbo Zhang, Guang Chu, et al.. (2025). UAV-based phenotyping identifies net assimilation rate as a diagnostic trait for synergistic enhancement of rice yield and grain quality. SHILAP Revista de lepidopterología. 4(3). 154–167. 1 indexed citations
2.
Li, Jie, Tiantian Wang, Guang Chu, et al.. (2025). High-Precision Determination of 186Os/188Os and 187Os/188Os Isotope Ratios via an Antimony Fire Assay and Multi-collector ICP–MS. Analytical Chemistry. 97(14). 8048–8055. 1 indexed citations
3.
Zhong, Qiaohui, et al.. (2025). Effective separation of zinc from geological samples for high-precision zinc isotope measurement using MC-ICP-MS. Journal of Analytical Atomic Spectrometry. 40(5). 1353–1363.
4.
5.
Liu, Chunhuan, et al.. (2025). Unraveling the role of PEGylation in the anti-aggregation stability of lipid nanoparticles. Nanoscale. 17(47). 27530–27537. 1 indexed citations
6.
Li, Hailong, Jaakko V. I. Timonen, Jiancheng Zhou, et al.. (2023). Thermodynamically controlled multiphase separation of heterogeneous liquid crystal colloids. Nature Communications. 14(1). 5277–5277. 24 indexed citations
7.
Ji, Lingling, Mengqi Han, Guang Chu, et al.. (2021). Lip morphology estimation models based on three-dimensional images in a modern adult population from China. International Journal of Legal Medicine. 135(5). 1887–1901. 3 indexed citations
8.
Han, Mengqi, Chenxu Wang, Guang Chu, et al.. (2020). Accuracy of the Demirjian, Willems and Nolla methods for dental age estimation in a northern Chinese population. Archives of Oral Biology. 118. 104875–104875. 27 indexed citations
9.
Chu, Guang, Mengqi Han, Lingling Ji, et al.. (2020). Three-dimensional prediction of nose morphology in Chinese young adults: a pilot study combining cone-beam computed tomography and 3dMD photogrammetry system. International Journal of Legal Medicine. 134(5). 1803–1816. 10 indexed citations
10.
Chen, Wenjie, et al.. (2020). Can canines alone be used for age estimation in Chinese individuals when applying the Kvaal method?. Forensic Sciences Research. 7(2). 132–137. 6 indexed citations
11.
Han, Mengqi, et al.. (2019). Research Progress of Age Estimation Based on the Demirjian's Method.. SHILAP Revista de lepidopterología. 35(6). 737–743. 3 indexed citations
12.
Li, Xuguang, Guang Chu, Feng Zhu, et al.. (2019). Epoxyeicosatrienoic acid prevents maladaptive remodeling in pressure overload by targeting calcineurin/NFAT and Smad-7. Experimental Cell Research. 386(1). 111716–111716. 12 indexed citations
13.
Zhang, Zhi, et al.. (2018). A convenient method to verify the accuracy of oscillometric blood pressure monitors by the auscultatory method: A smartphone‐based app. Journal of Clinical Hypertension. 21(2). 173–180. 7 indexed citations
14.
Liu, Huiqiang, Xuechen Chen, Sheng Chu, et al.. (2018). Liquid metal nano/micro-channels as thermal interface materials for efficient energy saving. Journal of Materials Chemistry C. 6(39). 10611–10617. 54 indexed citations
15.
Chu, Guang, Dan Qu, Eyal Zussman, & Yan Xu. (2017). Ice-Assisted Assembly of Liquid Crystalline Cellulose Nanocrystals for Preparing Anisotropic Aerogels with Ordered Structures. Chemistry of Materials. 29(9). 3980–3988. 72 indexed citations
16.
Wu, Hongjun, et al.. (2016). A new automatic blood pressure kit auscultates for accurate reading with a smartphone. Medicine. 95(32). e4538–e4538. 11 indexed citations
17.
18.
Chu, Guang. (2006). Influence of Concentration of Chlorine Ion on Leaching of Silver Chloride by Ammonia. 2 indexed citations
19.
Chu, Guang. (2005). The Preparation Technology and Application of Nanocrystalline Copper Powder. 3 indexed citations
20.
Yang, Tianzu, et al.. (2002). Precipitation of antimony from the solution of sodium thioantimonite by air oxidation in the presence of catalytic agents. Journal of Central South University of Technology. 9(2). 107–111. 12 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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