Quan Cui

2.5k total citations · 2 hit papers
11 papers, 1.3k citations indexed

About

Quan Cui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Quan Cui has authored 11 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Economics and Econometrics. Recurrent topics in Quan Cui's work include Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers) and Energy Load and Power Forecasting (3 papers). Quan Cui is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers) and Energy Load and Power Forecasting (3 papers). Quan Cui collaborates with scholars based in China, Japan and United States. Quan Cui's co-authors include Xiu-Shen Wei, Boyan Zhou, Borui Zhao, Renjie Song, Yiyu Qiu, Jiajun Liang, Jujie Wang, Xin Sun, Xin Sun and Osamu Yoshie and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Neurocomputing.

In The Last Decade

Quan Cui

10 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition

2020 512 citations Boyan Zhou, Quan Cui et al. profile →
Decoupled Knowledge Distillation

2022 465 citations Borui Zhao, Quan Cui et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Quan Cui China	8	670	519	170	128	110	11	1.3k
Jiwen Dong China	12	474 0.7×	233 0.4×	133 0.8×	33 0.3×	134 1.2×	53	1.1k
Miloš Antonijević Serbia	19	504 0.8×	114 0.2×	216 1.3×	52 0.4×	39 0.4×	69	1.1k
Olga Valenzuela Spain	18	462 0.7×	163 0.3×	157 0.9×	67 0.5×	60 0.5×	84	1.1k
Qun Dai China	20	676 1.0×	218 0.4×	220 1.3×	33 0.3×	45 0.4×	80	1.2k
Ning Xu China	22	841 1.3×	549 1.1×	109 0.6×	20 0.2×	135 1.2×	79	1.7k
Jiangtao Xie China	8	472 0.7×	730 1.4×	38 0.2×	55 0.4×	108 1.0×	10	1.1k
Vahid Behbood Australia	11	671 1.0×	246 0.5×	73 0.4×	24 0.2×	51 0.5×	20	1.3k
Yuhong Li China	11	762 1.1×	954 1.8×	123 0.7×	46 0.4×	38 0.3×	43	1.5k
Fernando Rojas Spain	15	353 0.5×	113 0.2×	125 0.7×	57 0.4×	33 0.3×	68	866
Emmanuel Pintelas Greece	14	313 0.5×	127 0.2×	198 1.2×	196 1.5×	69 0.6×	26	1.1k

Countries citing papers authored by Quan Cui

Since Specialization

Citations

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

Fields of papers citing papers by Quan Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Cui

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

11 of 11 papers shown

1.

Chen, Zhao-Min, Quan Cui, Xiaoqin Zhang, et al.. (2025). Towards Gradient Equalization and Feature Diversification for Long-Tailed Multi-Label Image Recognition. IEEE Transactions on Multimedia. 27. 3489–3500.

2.

Cui, Quan, et al.. (2023). A Simple Framework for Text-Supervised Semantic Segmentation. 7071–7080. 15 indexed citations

3.

Zhao, Borui, Quan Cui, Renjie Song, Yiyu Qiu, & Jiajun Liang. (2022). Decoupled Knowledge Distillation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11943–11952. 465 indexed citations breakdown →

4.

Wei, Xiu-Shen, Quan Cui, Lei Yang, et al.. (2022). RPC: a large-scale and fine-grained retail product checkout dataset. Science China Information Sciences. 65(9). 14 indexed citations

5.

Wang, Jujie, et al.. (2022). Asian stock markets closing index forecast based on secondary decomposition, multi-factor analysis and attention-based LSTM model. Engineering Applications of Artificial Intelligence. 113. 104908–104908. 59 indexed citations

6.

Cui, Quan, et al.. (2022). Delving into the representation learning of deep hashing. Neurocomputing. 494. 67–78. 3 indexed citations

7.

Wang, Jujie, et al.. (2021). Cuckoo Search Optimized Integrated Framework Based on Feature Clustering and Deep Learning for Daily Stock Price Forecasting. ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH. 55(3/2021). 55–70. 3 indexed citations

8.

Wang, Jujie, Quan Cui, & Xin Sun. (2021). A novel framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression. Journal of Cleaner Production. 314. 128024–128024. 56 indexed citations

9.

Wang, Jujie, et al.. (2020). An innovative random forest-based nonlinear ensemble paradigm of improved feature extraction and deep learning for carbon price forecasting. The Science of The Total Environment. 762. 143099–143099. 137 indexed citations

10.

Zhou, Boyan, et al.. (2020). BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition. 9716–9725. 512 indexed citations breakdown →

11.

Chen, Zhao-Min, Quan Cui, Xiu-Shen Wei, Xin Jin, & Yanwen Guo. (2020). Disentangling, Embedding and Ranking Label Cues for Multi-Label Image Recognition. IEEE Transactions on Multimedia. 23. 1827–1840. 20 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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