Linghui Liu

1.5k total citations · 1 hit paper
15 papers, 1.4k citations indexed

About

Linghui Liu is a scholar working on Renewable Energy, Sustainability and the Environment, Organic Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Linghui Liu has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Renewable Energy, Sustainability and the Environment, 3 papers in Organic Chemistry and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Linghui Liu's work include Electrocatalysts for Energy Conversion (8 papers), CO2 Reduction Techniques and Catalysts (5 papers) and Advanced Photocatalysis Techniques (4 papers). Linghui Liu is often cited by papers focused on Electrocatalysts for Energy Conversion (8 papers), CO2 Reduction Techniques and Catalysts (5 papers) and Advanced Photocatalysis Techniques (4 papers). Linghui Liu collaborates with scholars based in China, Singapore and Taiwan. Linghui Liu's co-authors include Bin Liu, Yanqiang Huang, Jiajian Gao, Xuning Li, Xinyi Ren, Song Liu, Tao Zhang, Weizheng Cai, Hongbin Yang and Zhichong Kuang and has published in prestigious journals such as Angewandte Chemie International Edition, Advanced Functional Materials and Journal of Materials Chemistry A.

In The Last Decade

Linghui Liu

14 papers receiving 1.4k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Microenvironment modulation of single-atom catalysts and their roles in electrochemical energy conversion

2020 343 citations Xuning Li, Linghui Liu et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linghui Liu China	10	1.2k	600	473	385	93	15	1.4k
Yangbo Ma China	18	1.0k 0.9×	469 0.8×	717 1.5×	292 0.8×	131 1.4×	31	1.3k
Nadia Mohd Adli United States	12	1.5k 1.2×	598 1.0×	861 1.8×	423 1.1×	121 1.3×	12	1.7k
Abebe Reda Woldu China	16	1.0k 0.9×	535 0.9×	509 1.1×	294 0.8×	106 1.1×	34	1.2k
Yuying Mi China	18	1.2k 1.0×	595 1.0×	462 1.0×	481 1.2×	68 0.7×	23	1.3k
Vikas Reddu Singapore	13	1.2k 1.0×	456 0.8×	447 0.9×	516 1.3×	173 1.9×	16	1.4k
Dongxu Jiao China	24	1.3k 1.1×	761 1.3×	521 1.1×	576 1.5×	39 0.4×	65	1.6k
Jinli Yu China	17	838 0.7×	364 0.6×	427 0.9×	295 0.8×	122 1.3×	25	1.0k
Jiaqi Shao China	16	1.1k 0.9×	483 0.8×	709 1.5×	439 1.1×	81 0.9×	24	1.4k
Zanling Huang China	10	1.1k 0.9×	649 1.1×	407 0.9×	350 0.9×	75 0.8×	18	1.2k

Countries citing papers authored by Linghui Liu

Since Specialization

Citations

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

Fields of papers citing papers by Linghui Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linghui Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Linghui Liu. A scholar is included among the top collaborators of Linghui Liu 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 Linghui Liu. Linghui Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Liu, Linghui, et al.. (2025). Quasi-homogeneous adsorption behavior of a magnetic iron-based hydrated material for Congo red. Environmental Technology & Innovation. 40. 104362–104362.

Zhou, Dan, Zhiyong Xiao, Lei Zhu, Linghui Liu, & Qin‐Qin Xu. (2025). Optimized Ag NPs/graphene conductive ink for high-sensitivity flexible stress sensors. Materials Today Communications. 43. 111766–111766. 1 indexed citations

Liu, Linghui, Hong Bin Yang, Huan Wu, et al.. (2021). Atomically dispersed Pd electrocatalyst for efficient aqueous phase dechlorination reaction. Electrochimica Acta. 391. 138886–138886. 37 indexed citations

Li, Xuning, Linghui Liu, Xinyi Ren, et al.. (2020). Microenvironment modulation of single-atom catalysts and their roles in electrochemical energy conversion. Science Advances. 6(39). 343 indexed citations breakdown →

Liu, Linghui, Song Liu, Lu Li, et al.. (2020). A general method to construct single-atom catalysts supported on N-doped graphene for energy applications. Journal of Materials Chemistry A. 8(13). 6190–6195. 52 indexed citations

Ren, Xinyi, Song Liu, Jie Ding, et al.. (2020). Electron-withdrawing functional ligand promotes CO2 reduction catalysis in single atom catalyst. Science China Chemistry. 63(12). 1727–1733. 59 indexed citations

Liu, Song, Hong Bin Yang, Sung‐Fu Hung, et al.. (2019). Elucidating the Electrocatalytic CO₂ Reduction Reaction over a Model Single‐Atom Nickel Catalyst. Angewandte Chemie. 132(2). 808–813. 34 indexed citations

Liu, Song, Hong Bin Yang, Sung‐Fu Hung, et al.. (2019). Innentitelbild: Elucidating the Electrocatalytic CO₂ Reduction Reaction over a Model Single‐Atom Nickel Catalyst (Angew. Chem. 2/2020). Angewandte Chemie. 132(2). 518–518. 1 indexed citations

Liu, Song, Hong Bin Yang, Sung‐Fu Hung, et al.. (2019). Elucidating the Electrocatalytic CO₂ Reduction Reaction over a Model Single‐Atom Nickel Catalyst. Angewandte Chemie International Edition. 59(2). 798–803. 425 indexed citations

10.

Liu, Song, Hongbin Yang, Xiang Huang, et al.. (2018). Identifying Active Sites of Nitrogen‐Doped Carbon Materials for the CO₂ Reduction Reaction. Advanced Functional Materials. 28(21). 304 indexed citations

11.

Wang, Fanan, Yuanmiao Sun, Yanghua He, et al.. (2017). Highly efficient and durable MoNiNC catalyst for hydrogen evolution reaction. Nano Energy. 37. 1–6. 86 indexed citations

12.

Xiong, Kun, Lishan Peng, Yao Wang, et al.. (2016). In situ growth of RuO2–TiO2 catalyst with flower-like morphologies on the Ti substrate as a binder-free integrated anode for chlorine evolution. Journal of Applied Electrochemistry. 46(8). 841–849. 28 indexed citations

13.

Liu, Linghui, et al.. (2013). Exploiting local intensity information in Chan–Vese model for noisy image segmentation. Signal Processing. 93(9). 2709–2721. 11 indexed citations

14.

Li, Linsheng, et al.. (2012). Segmentation of computer tomography image using local robust statistics and region-scalable fitting. Journal of X-Ray Science and Technology. 20(3). 255–267. 7 indexed citations

15.

Liu, Linghui, et al.. (2011). A Unified Method Based on Wavelet Transform and C-V Model for Crack Segmentation of 3D Industrial CT Images. 12–16. 6 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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