Lianghui Ai

16 total papers · 451 total citations
14 papers, 355 citations indexed

About

Lianghui Ai is a scholar working on Polymers and Plastics, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Lianghui Ai has authored 14 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Polymers and Plastics, 3 papers in Materials Chemistry and 2 papers in Organic Chemistry. Recurrent topics in Lianghui Ai's work include Flame retardant materials and properties (12 papers), Synthesis and properties of polymers (6 papers) and Transition Metal Oxide Nanomaterials (2 papers). Lianghui Ai is often cited by papers focused on Flame retardant materials and properties (12 papers), Synthesis and properties of polymers (6 papers) and Transition Metal Oxide Nanomaterials (2 papers). Lianghui Ai collaborates with scholars based in China and Spain. Lianghui Ai's co-authors include Ping Liu, Shanshan Chen, Jinming Zeng, Weishi Liu, Wenji Deng, Lijuan Zeng, Hui Li, Tierui Zhang, Junfeng Hu and Shanshan Chen and has published in prestigious journals such as Solar Energy Materials and Solar Cells, Polymer Degradation and Stability and Polymers.

In The Last Decade

Lianghui Ai

14 papers receiving 351 citations

Author Peers

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

Author Last Decade Papers Cites
Lianghui Ai 320 77 67 34 32 14 355
Jing Zhang 252 0.8× 36 0.5× 101 1.5× 23 0.7× 53 1.7× 15 317
Hui Wen 277 0.9× 68 0.9× 59 0.9× 16 0.5× 48 1.5× 11 332
Xue Bi 303 0.9× 52 0.7× 143 2.1× 13 0.4× 73 2.3× 11 370
Zhongxi Miao 215 0.7× 47 0.6× 168 2.5× 38 1.1× 37 1.2× 9 356
Guangyong Jiang 326 1.0× 70 0.9× 123 1.8× 10 0.3× 69 2.2× 14 382
Mohammad Ziaur Rahman 245 0.8× 53 0.7× 40 0.6× 10 0.3× 28 0.9× 19 328
Marija Čolović 261 0.8× 38 0.5× 86 1.3× 52 1.5× 28 0.9× 18 340
Yishuai Huang 323 1.0× 67 0.9× 46 0.7× 15 0.4× 44 1.4× 17 397
Joseph Zilberman 291 0.9× 64 0.8× 57 0.9× 10 0.3× 53 1.7× 10 356
Xian‐Yao Tian 297 0.9× 48 0.6× 169 2.5× 14 0.4× 16 0.5× 8 376

Countries citing papers authored by Lianghui Ai

Since Specialization
Citations

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

Fields of papers citing papers by Lianghui Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianghui Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Lianghui Ai. A scholar is included among the top collaborators of Lianghui Ai 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 Lianghui Ai. Lianghui Ai 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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2026