Caihui Liu

52 total papers · 907 total citations
29 papers, 663 citations indexed

About

Caihui Liu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Caihui Liu has authored 29 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Theory and Mathematics, 17 papers in Artificial Intelligence and 14 papers in Information Systems. Recurrent topics in Caihui Liu's work include Rough Sets and Fuzzy Logic (23 papers), Data Mining Algorithms and Applications (14 papers) and Natural Language Processing Techniques (5 papers). Caihui Liu is often cited by papers focused on Rough Sets and Fuzzy Logic (23 papers), Data Mining Algorithms and Applications (14 papers) and Natural Language Processing Techniques (5 papers). Caihui Liu collaborates with scholars based in China, Canada and United States. Caihui Liu's co-authors include Duoqian Miao, Jin Qian, Xiaodong Yue, Xiaohong Zhang, Nan Zhang, Ping Lv, Witold Pedrycz, Ying Yu, Qin Zou and Min Wang and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Applied Soft Computing.

In The Last Decade

Caihui Liu

25 papers receiving 655 citations

Author Peers

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

Author Last Decade Papers Cites
Caihui Liu 558 269 261 200 72 29 663
Yanyong Huang 406 0.7× 375 1.4× 249 1.0× 153 0.8× 168 2.3× 27 739
Ningxin Xie 496 0.9× 217 0.8× 148 0.6× 363 1.8× 25 0.3× 29 612
Jin Ye 331 0.6× 225 0.8× 112 0.4× 254 1.3× 112 1.6× 40 579
Tingquan Deng 332 0.6× 258 1.0× 105 0.4× 198 1.0× 273 3.8× 55 725
Hengrong Ju 401 0.7× 345 1.3× 217 0.8× 74 0.4× 176 2.4× 52 627
Anhui Tan 516 0.9× 292 1.1× 258 1.0× 204 1.0× 104 1.4× 40 657
Feifei Xu 351 0.6× 255 0.9× 200 0.8× 80 0.4× 102 1.4× 47 626
Can Gao 332 0.6× 382 1.4× 174 0.7× 117 0.6× 253 3.5× 65 722
Xiaoyan Zhang 607 1.1× 305 1.1× 243 0.9× 241 1.2× 92 1.3× 62 707
Jian-Min Ma 540 1.0× 283 1.1× 253 1.0× 147 0.7× 79 1.1× 20 574

Countries citing papers authored by Caihui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Caihui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caihui Liu

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026