Qingyi Hua

615 total citations
13 papers, 390 citations indexed

About

Qingyi Hua is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qingyi Hua has authored 13 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 6 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qingyi Hua's work include Recommender Systems and Techniques (4 papers), Caching and Content Delivery (3 papers) and Advanced Graph Neural Networks (3 papers). Qingyi Hua is often cited by papers focused on Recommender Systems and Techniques (4 papers), Caching and Content Delivery (3 papers) and Advanced Graph Neural Networks (3 papers). Qingyi Hua collaborates with scholars based in China and Canada. Qingyi Hua's co-authors include Rui Chen, Yan‐Shuo Chang, Xiangjie Kong, Bo Wang, Lei Zhang, Haoming Zhang, Bo Wang, Xiang Ji, Xiang Ji and Weili Guan and has published in prestigious journals such as IEEE Access, Alexandria Engineering Journal and Multimedia Tools and Applications.

In The Last Decade

Qingyi Hua

11 papers receiving 373 citations

Peers

Qingyi Hua

IS

CVPR

AI

ECP

CNC

Yudith Cardinale Venezuela

Matin Pirouz United States

Federica Bisio Italy

Dipankar Das Bangladesh

Zhongmin Cai China

Abdulrahman Alreshidi Saudi Arabia

Mohamed El Bachir Menaï Saudi Arabia

Huo-Chong Ling Malaysia

Ashish Verma India

Haicheng Tao China

Yudith Cardinale Venezuela

Qingyi Hua

156 ×0.8

IS

80 ×0.6

CVPR

159 ×1.2

AI

58 ×0.9

ECP

113 ×2.2

CNC

Citations per year, relative to Qingyi Hua Qingyi Hua (= 1×) peers Yudith Cardinale

Countries citing papers authored by Qingyi Hua

Since Specialization

Citations

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

Fields of papers citing papers by Qingyi Hua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyi Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyi Hua. A scholar is included among the top collaborators of Qingyi Hua 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 Qingyi Hua. Qingyi Hua 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.

Hua, Qingyi, et al.. (2021). A-MobileNet: An approach of facial expression recognition. Alexandria Engineering Journal. 61(6). 4435–4444. 124 indexed citations

2.

Chen, Rui, et al.. (2020). An enhanced social matrix factorization model for recommendation based on social networks using social interaction factors. Multimedia Tools and Applications. 79(19-20). 14147–14177. 14 indexed citations

3.

Chen, Rui, Qingyi Hua, Bo Wang, et al.. (2019). A Novel Social Recommendation Method Fusing User’s Social Status and Homophily Based on Matrix Factorization Techniques. IEEE Access. 7. 18783–18798. 12 indexed citations

4.

Chen, Rui, Qingyi Hua, Yan‐Shuo Chang, et al.. (2018). A Survey of Collaborative Filtering-Based Recommender Systems: From Traditional Methods to Hybrid Methods Based on Social Networks. IEEE Access. 6. 64301–64320. 203 indexed citations

5.

Hua, Qingyi, et al.. (2018). Category Theory-Based Mobile User Interface Pattern Recommendation Method. IEEE Access. 7. 8209–8225. 1 indexed citations

6.

Chen, Rui, et al.. (2018). A Hybrid Recommender System for Gaussian Mixture Model and Enhanced Social Matrix Factorization Technology Based on Multiple Interests. Mathematical Problems in Engineering. 2018. 1–22. 7 indexed citations

7.

Hua, Qingyi, et al.. (2018). Feature Extraction and Classification Algorithm of Brain-computer Interface Based on Human Brain Central Nervous System. NeuroQuantology. 16(5). 7 indexed citations

8.

Ji, Xiang, et al.. (2017). 2-OptACO: An Improvement of Ant Colony Optimization for UAV Path in Disaster Rescue. 225–231. 12 indexed citations

9.

Chen, Rui, Qingyi Hua, Xiang Ji, et al.. (2017). An Interactive Task Analysis Framework and Interactive System Research for Computer Aided Diagnosis. IEEE Access. 5. 23413–23424. 4 indexed citations

10.

Sun, Peng, et al.. (2012). DynaView: General Dynamic Visualization Model for SHM. Mathematical Problems in Engineering. 2012(1). 1 indexed citations

11.

Hua, Qingyi, et al.. (2012). The Application of Web Data Mining in the Electronic Commerce. 2001. 337–339. 4 indexed citations

12.

Hua, Qingyi, et al.. (2009). perceptual-control-based agent architecture model. 20.

13.

Hua, Qingyi, et al.. (1996). A prototypical 3D graphical visualizer for object-oriented systems. Journal of Computer Science and Technology. 11(5). 489–496. 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.

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