Qiang Cui

547 total citations
13 papers, 343 citations indexed

About

Qiang Cui is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qiang Cui has authored 13 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qiang Cui's work include Topic Modeling (4 papers), Recommender Systems and Techniques (4 papers) and Advanced Graph Neural Networks (4 papers). Qiang Cui is often cited by papers focused on Topic Modeling (4 papers), Recommender Systems and Techniques (4 papers) and Advanced Graph Neural Networks (4 papers). Qiang Cui collaborates with scholars based in China, Canada and United States. Qiang Cui's co-authors include Liang Wang, Shu Wu, Junjie Wang, Wen Zhong, Qiang Liu, Qing Wang, Yan Huang, Qing Wang, Song Wang and Peng Cui and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Knowledge and Data Engineering and Journal of Physics Conference Series.

In The Last Decade

Qiang Cui

11 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qiang Cui China	8	264	169	57	56	52	13	343
Pavlos Kefalas Greece	11	309 1.2×	235 1.4×	38 0.7×	34 0.6×	11 0.2×	19	420
Aniruddh Nath United States	8	135 0.5×	175 1.0×	70 1.2×	9 0.2×	12 0.2×	11	273
Arun Iyer India	7	107 0.4×	151 0.9×	30 0.5×	42 0.8×	14 0.3×	13	247
Huobin Tan China	4	201 0.8×	214 1.3×	34 0.6×	18 0.3×	6 0.1×	20	280
Jiahuan He China	9	193 0.7×	82 0.5×	14 0.2×	39 0.7×	80 1.5×	15	296
Chetan Bansal United States	13	266 1.0×	137 0.8×	10 0.2×	75 1.3×	48 0.9×	52	439
Oliver Hummel Germany	9	288 1.1×	114 0.7×	35 0.6×	106 1.9×	41 0.8×	39	359
Suqi Cheng China	8	190 0.7×	274 1.6×	93 1.6×	6 0.1×	7 0.1×	16	360
G.J.P.M. Houben Netherlands	9	102 0.4×	102 0.6×	25 0.4×	5 0.1×	33 0.6×	31	212

Countries citing papers authored by Qiang Cui

Since Specialization

Citations

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

Fields of papers citing papers by Qiang Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Cui. A scholar is included among the top collaborators of Qiang Cui 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 Qiang Cui. Qiang Cui 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:

13 of 13 papers shown

1.

Yang, Xianyan, et al.. (2024). Research on the Role of Artificial Intelligence in the Core of Intelligent Translation Systems. Procedia Computer Science. 243. 585–592.

2.

Cui, Qiang, et al.. (2023). Research on Artificial Intelligence Machine Translation Based on Fuzzy Algorithm. 15. 1–5.

3.

Cui, Peng, et al.. (2022). CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. Proceedings of the ACM Web Conference 2022. 410–421. 30 indexed citations

4.

Zhang, Ziwei, Peng Cui, Yafeng Zhang, et al.. (2021). Signed Graph Neural Network with Latent Groups. 1066–1075. 19 indexed citations

5.

Zhang, Jingwei, et al.. (2021). Research on the Realization and Application of Intelligent IoT Platform for Electrical Equipment under Industrial Internet. Journal of Physics Conference Series. 1982(1). 12078–12078. 3 indexed citations

6.

Cui, Qiang, Tao Wei, Yafeng Zhang, & Qing Zhang. (2020). HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation.. Conference on Recommender Systems. 12 indexed citations

7.

Cui, Qiang, Shu Wu, Yan Huang, & Liang Wang. (2019). A hierarchical contextual attention-based network for sequential recommendation. Neurocomputing. 358. 141–149. 44 indexed citations

8.

Cui, Qiang, Shu Wu, Qiang Liu, Wen Zhong, & Liang Wang. (2018). MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation. IEEE Transactions on Knowledge and Data Engineering. 32(2). 317–331. 120 indexed citations

9.

Cui, Qiang, et al.. (2017). Multi-Objective Crowd Worker Selection in Crowdsourced Testing. Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering. 2017. 218–223. 21 indexed citations

10.

Cui, Qiang, et al.. (2016). A Visual and Textual Recurrent Neural Network for Sequential Prediction.. arXiv (Cornell University). 5 indexed citations

11.

Wang, Junjie, Qiang Cui, Qing Wang, & Song Wang. (2016). Towards Effectively Test Report Classification to Assist Crowdsourced Testing. 1–10. 43 indexed citations

12.

Wang, Junjie, et al.. (2016). Local-based active classification of test report to assist crowdsourced testing. 190–201. 45 indexed citations

13.

Cui, Qiang. (2014). The Reaction of Consumers to Others' Assessments under Different Social Distances. 1 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.

Explore authors with similar magnitude of impact