Hui Qi

1.1k total citations
26 papers, 777 citations indexed

About

Hui Qi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Hui Qi has authored 26 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Management Information Systems. Recurrent topics in Hui Qi's work include Quality and Supply Management (5 papers), Outsourcing and Supply Chain Management (5 papers) and Face and Expression Recognition (4 papers). Hui Qi is often cited by papers focused on Quality and Supply Management (5 papers), Outsourcing and Supply Chain Management (5 papers) and Face and Expression Recognition (4 papers). Hui Qi collaborates with scholars based in China, Hong Kong and United Kingdom. Hui Qi's co-authors include Felix T.S. Chan, Hing Kai Chan, H.C.W. Lau, Ralph W.L. Ip, Xiaobin Wang, Wenjian Wang, Ting Yue, Dongju Fu, Ruyin Long and Xuguang Liu and has published in prestigious journals such as PLoS ONE, IEEE Access and Information Sciences.

In The Last Decade

Hui Qi

19 papers receiving 701 citations

Peers

Hui Qi
Andrew Graves United Kingdom
Henning Baars Germany
Marcelo Bronzo Ladeira Brazil
Yufei Huang China
Abraham Mendoza Mexico
Turan Erman Erkan Türkiye
Jeremy D. Ezell United States
Saeed Rouhani Iran
John Paul Kawalek United Kingdom
Yuxiao Ye China
Andrew Graves United Kingdom
Hui Qi
Citations per year, relative to Hui Qi Hui Qi (= 1×) peers Andrew Graves

Countries citing papers authored by Hui Qi

Since Specialization
Citations

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

Fields of papers citing papers by Hui Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Qi

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

All Works

20 of 20 papers shown
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Qi, Hui, et al.. (2024). Ultrasound image segmentation of renal tumors based on UNet++ with fusion of multiscale residuals and dual attention. Physics in Medicine and Biology. 69(7). 75002–75002.
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Qi, Hui, et al.. (2024). Maximum Information Coefficient Feature Selection Method for Interval-Valued Data. IEEE Access. 12. 53752–53766. 3 indexed citations
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Qi, Hui, et al.. (2024). A Novel Attention Residual Network Expression Recognition Method. IEEE Access. 12. 24609–24620. 3 indexed citations
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Qi, Hui, et al.. (2024). A Novel High-Performance Face Anti-Spoofing Detection Method. IEEE Access. 12. 67379–67391. 2 indexed citations
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Wang, Wenjian, et al.. (2023). AGURF: An adaptive general unified representation frame for imbalanced interval-valued data. Information Sciences. 641. 119089–119089. 5 indexed citations
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Qi, Hui, et al.. (2023). A Convolutional Neural Network Face Recognition Method Based on BiLSTM and Attention Mechanism. Computational Intelligence and Neuroscience. 2023(1). 2501022–2501022. 12 indexed citations
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Qi, Hui, et al.. (2021). Adjustable Fuzzy Rough Reduction: A Nested Strategy. Computational Intelligence and Neuroscience. 2021(1). 2 indexed citations
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Qi, Hui, et al.. (2021). Knowledge Granularity for Continuous Parameters. IEEE Access. 9. 89432–89438. 6 indexed citations
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Qi, Hui, et al.. (2020). A task unloading strategy of IoT devices using deep reinforcement learning based on mobile cloud computing environment. Wireless Networks. 30(5). 3587–3597. 4 indexed citations
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Yue, Ting, Ruyin Long, Hong Chen, Muhammad Imran Khan, & Hui Qi. (2016). Research of Effect of Energy-conservation Results: Evidence from Urban Household Survey. Energy Procedia. 104. 293–298. 6 indexed citations
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Zhou, Haiyan & Hui Qi. (2010). Association Rule Mining with Establishment of Frequent Item Set Vectors. 25. 696–699.
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Chan, Felix T.S., Hing Kai Chan, & Hui Qi. (2006). A review of performance measurement systems for supply chain management. International Journal of Business Performance Management. 8(2/3). 110–110. 43 indexed citations
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Chan, Felix T.S. & Hui Qi. (2003). Feasibility of performance measurement system for supply chain: a process‐based approach and measures. Integrated Manufacturing Systems. 14(3). 179–190. 142 indexed citations
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Chan, Felix T.S. & Hui Qi. (2003). An innovative performance measurement method for supply chain management. Supply Chain Management An International Journal. 8(3). 209–223. 341 indexed citations
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Chan, Felix T.S. & Hui Qi. (2002). A fuzzy basis channel-spanning performance measurement method for supply chain management. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 216(8). 1155–1167. 25 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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