Qingbo Wu

5.5k total citations · 1 hit paper
223 papers, 3.5k citations indexed

About

Qingbo Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Qingbo Wu has authored 223 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Computer Vision and Pattern Recognition, 78 papers in Artificial Intelligence and 38 papers in Computer Networks and Communications. Recurrent topics in Qingbo Wu's work include Advanced Image and Video Retrieval Techniques (56 papers), Domain Adaptation and Few-Shot Learning (43 papers) and Advanced Neural Network Applications (39 papers). Qingbo Wu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (56 papers), Domain Adaptation and Few-Shot Learning (43 papers) and Advanced Neural Network Applications (39 papers). Qingbo Wu collaborates with scholars based in China, Hong Kong and Canada. Qingbo Wu's co-authors include Hongliang Li, Fanman Meng, King Ngi Ngan, Zhou Wang, Yusong Tan, Kede Ma, Zhengfang Duanmu, Hongwei Yong, Lei Zhang and Fuhui Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Advanced Functional Materials.

In The Last Decade

Qingbo Wu

192 papers receiving 3.5k citations

Hit Papers

Waterloo Exploration Database: New Challenges for Image Q... 2016 2026 2019 2022 2016 100 200 300 400
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.

  1. Waterloo Exploration Database: New Challenges for Image Quality Assessment Models
    2016 476 citations Qingbo Wu, Hongliang Li et al. IEEE Transactions on Image Processing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingbo Wu China 30 2.6k 839 667 426 415 223 3.5k
Feng Shao China 33 3.4k 1.3× 1.9k 2.2× 427 0.6× 635 1.5× 399 1.0× 256 4.6k
Zhijun Fang China 27 2.0k 0.8× 456 0.5× 650 1.0× 206 0.5× 252 0.6× 162 3.0k
Banshidhar Majhi India 31 1.8k 0.7× 374 0.4× 1.3k 1.9× 503 1.2× 433 1.0× 189 3.3k
Chun Yuan China 26 1.4k 0.6× 221 0.3× 684 1.0× 229 0.5× 383 0.9× 201 2.6k
Arif Mahmood Pakistan 28 1.7k 0.7× 375 0.4× 887 1.3× 216 0.5× 339 0.8× 121 2.7k
Yuanyan Tang China 25 1.2k 0.5× 389 0.5× 723 1.1× 203 0.5× 808 1.9× 125 3.1k
Mingming Gong Australia 25 2.5k 1.0× 711 0.8× 959 1.4× 131 0.3× 151 0.4× 102 3.5k
Vikrant Bhateja India 26 1.2k 0.5× 841 1.0× 481 0.7× 157 0.4× 263 0.6× 153 2.4k
Yu-Chiang Frank Wang Taiwan 35 2.8k 1.1× 733 0.9× 1.3k 2.0× 354 0.8× 106 0.3× 153 3.9k
Zhenkuan Pan China 26 1.5k 0.6× 713 0.8× 248 0.4× 136 0.3× 247 0.6× 162 2.4k

Countries citing papers authored by Qingbo Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qingbo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingbo Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Qingbo Wu. A scholar is included among the top collaborators of Qingbo Wu 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 Qingbo Wu. Qingbo Wu 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
1.
Wang, Lei, Qingbo Wu, Fanman Meng, et al.. (2025). Scoring structure regularized gradient boosting network for blind image quality assessment. Displays. 87. 102955–102955.
2.
Meng, Fanman, et al.. (2024). Advancing zero-shot semantic segmentation through attribute correlations. Neurocomputing. 594. 127829–127829.
3.
Wu, Qingbo, et al.. (2024). High efficiency deep image compression via channel-wise scale adaptive latent representation learning. Signal Processing Image Communication. 130. 117227–117227. 3 indexed citations
4.
Wu, Qingbo, et al.. (2024). Cross-Modal Cognitive Consensus Guided Audio–Visual Segmentation. IEEE Transactions on Multimedia. 27. 209–223. 1 indexed citations
5.
Peng, Peng, Weiwei Lin, Wentai Wu, et al.. (2024). A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches. Computer Science Review. 53. 100656–100656. 15 indexed citations
6.
Qiu, Heqian, et al.. (2024). MCCE-REC: MLLM-Driven Cross-Modal Contrastive Entropy Model for Zero-Shot Referring Expression Comprehension. IEEE Transactions on Circuits and Systems for Video Technology. 35(1). 754–768. 5 indexed citations
7.
Wu, Qingbo, et al.. (2023). Dual-graph hierarchical interaction network for referring image segmentation. Displays. 80. 102575–102575. 1 indexed citations
8.
Wang, Wei, Songlei Jian, Yusong Tan, Qingbo Wu, & Chenlin Huang. (2023). Robust unsupervised network intrusion detection with self-supervised masked context reconstruction. Computers & Security. 128. 103131–103131. 26 indexed citations
9.
Wu, Qingbo, et al.. (2023). Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment. IEEE Transactions on Multimedia. 25. 8817–8827. 16 indexed citations
10.
Qiu, Heqian, Hongliang Li, Qingbo Wu, et al.. (2023). Learning Offset Probability Distribution for Accurate Object Detection. ACM Transactions on Multimedia Computing Communications and Applications. 20(5). 1–24. 2 indexed citations
11.
Li, Hongliang, Heqian Qiu, Qingbo Wu, et al.. (2023). Unsupervised Visual Representation Learning via Multi-Dimensional Relationship Alignment. IEEE Transactions on Image Processing. 32. 1613–1626. 3 indexed citations
12.
Qiu, Heqian, et al.. (2023). TridentCap: Image-Fact-Style Trident Semantic Framework for Stylized Image Captioning. IEEE Transactions on Circuits and Systems for Video Technology. 34(5). 3563–3575. 5 indexed citations
13.
Li, Hongliang, et al.. (2021). POS-Trends Dynamic-Aware Model for Video Caption. IEEE Transactions on Circuits and Systems for Video Technology. 32(7). 4751–4764. 18 indexed citations
14.
Li, Hui, Qingbo Wu, King Ngi Ngan, Hongliang Li, & Fanman Meng. (2021). Single Image Dehazing Via Region Adaptive Two-Shot Network. IEEE Multimedia. 28(3). 97–106. 4 indexed citations
15.
Huang, Tiansheng, Weiwei Lin, Xiaobin Hong, et al.. (2021). Adaptive Processor Frequency Adjustment for Mobile-Edge Computing With Intermittent Energy Supply. IEEE Internet of Things Journal. 9(10). 7446–7462. 8 indexed citations
16.
Li, Hongliang, et al.. (2021). Task-Specific Loss for Robust Instance Segmentation With Noisy Class Labels. IEEE Transactions on Circuits and Systems for Video Technology. 33(1). 213–227. 12 indexed citations
17.
18.
Li, Wei, Hongliang Li, Qingbo Wu, et al.. (2019). HeadNet: An End-to-End Adaptive Relational Network for Head Detection. IEEE Transactions on Circuits and Systems for Video Technology. 30(2). 482–494. 33 indexed citations
19.
Meng, Fanman, et al.. (2019). Weakly Supervised Semantic Segmentation by a Class-Level Multiple Group Cosegmentation and Foreground Fusion Strategy. IEEE Transactions on Circuits and Systems for Video Technology. 30(12). 4823–4836. 38 indexed citations
20.
Li, Wei, Hongliang Li, Qingbo Wu, Xiaoyu Chen, & King Ngi Ngan. (2019). Simultaneously Detecting and Counting Dense Vehicles From Drone Images. IEEE Transactions on Industrial Electronics. 66(12). 9651–9662. 75 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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