Ying Liu

475 total papers · 8.3k total citations
288 papers, 6.8k citations indexed

About

Ying Liu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Ying Liu has authored 288 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Materials Chemistry, 105 papers in Electrical and Electronic Engineering and 85 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Ying Liu's work include Advanced Photocatalysis Techniques (78 papers), Electromagnetic wave absorption materials (49 papers) and Gas Sensing Nanomaterials and Sensors (32 papers). Ying Liu is often cited by papers focused on Advanced Photocatalysis Techniques (78 papers), Electromagnetic wave absorption materials (49 papers) and Gas Sensing Nanomaterials and Sensors (32 papers). Ying Liu collaborates with scholars based in China, United Kingdom and United States. Ying Liu's co-authors include Michael G. B. Drew, Yue Liu, Wei‐De Zhang, Yu‐Xiang Yu, Daoai Wang, Fa‐tang Li, Jijie Kong, Cheng Sun, Julong Yuan and Jimin Xie and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Chemical Physics.

In The Last Decade

Ying Liu

268 papers receiving 6.7k citations

Hit Papers

Superconductivity in one-... 2010 2026 2015 2020 2010 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ying Liu 3.7k 3.1k 2.0k 1.6k 705 288 6.8k
Wei‐Qing Huang 5.1k 1.4× 4.2k 1.4× 3.4k 1.6× 1.9k 1.2× 1.1k 1.5× 314 8.5k
Jing Zhou 2.4k 0.6× 2.1k 0.7× 2.3k 1.2× 1.0k 0.6× 405 0.6× 215 5.4k
Yong Zhu 3.0k 0.8× 2.0k 0.6× 2.6k 1.3× 995 0.6× 268 0.4× 235 6.3k
Chunmei Zhang 3.0k 0.8× 1.2k 0.4× 3.0k 1.5× 1.5k 1.0× 260 0.4× 190 6.1k
Xiao Chi 3.0k 0.8× 2.8k 0.9× 3.9k 1.9× 1.3k 0.8× 243 0.3× 159 6.6k
Ran Li 3.8k 1.0× 1.8k 0.6× 1.3k 0.6× 1.5k 0.9× 363 0.5× 315 8.7k
Xian Wang 3.9k 1.1× 5.0k 1.6× 4.7k 2.3× 2.2k 1.3× 1.0k 1.4× 303 10.1k
Wei Liu 5.7k 1.6× 1.2k 0.4× 3.1k 1.5× 872 0.5× 944 1.3× 362 10.1k
Bo Han 3.6k 1.0× 2.2k 0.7× 3.4k 1.7× 886 0.6× 198 0.3× 350 8.6k
Rui Li 4.6k 1.3× 3.9k 1.2× 3.1k 1.5× 1.5k 0.9× 200 0.3× 340 7.8k

Countries citing papers authored by Ying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Liu

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

All Works

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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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