Haoning Wu

1.8k total citations · 1 hit paper
38 papers, 533 citations indexed

About

Haoning Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Haoning Wu has authored 38 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 3 papers in Computational Mechanics. Recurrent topics in Haoning Wu's work include Image and Video Quality Assessment (15 papers), Advanced Image Processing Techniques (11 papers) and Advanced Image Fusion Techniques (8 papers). Haoning Wu is often cited by papers focused on Image and Video Quality Assessment (15 papers), Advanced Image Processing Techniques (11 papers) and Advanced Image Fusion Techniques (8 papers). Haoning Wu collaborates with scholars based in Singapore, China and United States. Haoning Wu's co-authors include Weisi Lin, Chaofeng Chen, Wenxiu Sun, Qiong Yan, Liang Liao, Jingwen Hou, Zicheng Zhang, Guangtao Zhai, Chunyi Li and Xiongkuo Min and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Haoning Wu

32 papers receiving 531 citations

Hit Papers

TOPIQ: A Top-Down Approach From Semantics to Distortions ... 2024 2026 2025 2024 25 50 75
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. TOPIQ: A Top-Down Approach From Semantics to Distortions for Image Quality Assessment
    2024 86 citations Chaofeng Chen, Jingwen Hou 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
Haoning Wu Singapore 12 397 140 37 31 27 38 533
Chunyi Li China 8 151 0.4× 49 0.3× 41 1.1× 12 0.4× 17 0.6× 24 243
Yongduek Seo South Korea 11 357 0.9× 76 0.5× 36 1.0× 12 0.4× 14 0.5× 39 387
In Kyu Park South Korea 11 276 0.7× 52 0.4× 24 0.6× 29 0.9× 23 0.9× 29 330
Weize Quan China 11 313 0.8× 30 0.2× 31 0.8× 34 1.1× 42 1.6× 23 391
Mingdeng Cao China 8 381 1.0× 122 0.9× 24 0.6× 24 0.8× 45 1.7× 16 487
Wenbo Bao China 7 647 1.6× 181 1.3× 19 0.5× 90 2.9× 18 0.7× 12 699
Tim Dennis United Kingdom 9 270 0.7× 96 0.7× 21 0.6× 28 0.9× 11 0.4× 33 332
D.N. Bhat United States 6 353 0.9× 48 0.3× 16 0.4× 38 1.2× 17 0.6× 8 406
Shaolin Su China 5 446 1.1× 236 1.7× 12 0.3× 11 0.4× 23 0.9× 12 518
Yipeng Qin United Kingdom 9 145 0.4× 25 0.2× 68 1.8× 15 0.5× 54 2.0× 34 273

Countries citing papers authored by Haoning Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haoning Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoning Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haoning Wu. A scholar is included among the top collaborators of Haoning 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 Haoning Wu. Haoning 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.
Zhang, Zicheng, Haoning Wu, Chunyi Li, et al.. (2025). Q-Bench-Video: Benchmark the Video Quality Understanding of LMMs. 3229–3239. 1 indexed citations
2.
Li, Chunyi, Ling Xiao, Zicheng Zhang, et al.. (2025). Image Quality Assessment: From Human to Machine Preference. 7570–7581. 1 indexed citations
3.
Chen, Chaofeng, Haoning Wu, Liang Liao, et al.. (2024). Q-Ground: Image Quality Grounding with Large Multi-modality Models. 486–495. 2 indexed citations
4.
Zhang, Zicheng, Haoning Wu, Chunyi Li, et al.. (2024). Q-Boost: On Visual Quality Assessment Ability of Low-Level Multi-Modality Foundation Models. 1–6. 9 indexed citations
5.
Zhang, Zicheng, Haoning Wu, Erli Zhang, Guangtao Zhai, & Weisi Lin. (2024). Q-Bench+: A Benchmark for Multi-Modal Foundation Models on Low-Level Vision From Single Images to Pairs. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10404–10418. 10 indexed citations
6.
Liu, Xiaohong, Zicheng Zhang, Chunyi Li, et al.. (2024). Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment. 7793–7802. 9 indexed citations
7.
Chen, Chaofeng, Shangchen Zhou, Liang Liao, et al.. (2024). Iterative Token Evaluation and Refinement for Real-World Super-resolution. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1010–1018. 1 indexed citations
8.
Li, Chunyi, Haoning Wu, Zicheng Zhang, et al.. (2024). G-Refine: A General Quality Refiner for Text-to-Image Generation. 7375–7384. 2 indexed citations
9.
Chen, Zijian, Wei Sun, Haoning Wu, et al.. (2024). Study of Subjective and Objective Naturalness Assessment of AI-Generated Images. IEEE Transactions on Circuits and Systems for Video Technology. 35(4). 3573–3588. 4 indexed citations
10.
Li, Chunyi, Zicheng Zhang, Haoning Wu, et al.. (2024). PAPS-OVQA: Projection-Aware Patch Sampling for Omnidirectional Video Quality Assessment. 1–5. 4 indexed citations
11.
Liao, Liang, Haoning Wu, Chaofeng Chen, et al.. (2024). Blind Video Quality Prediction by Uncovering Human Video Perceptual Representation. IEEE Transactions on Image Processing. 33. 4998–5013.
12.
Li, Chunyi, Yixuan Gao, Yuqin Cao, et al.. (2024). AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment. 6327–6336. 13 indexed citations
13.
Wu, Haoning, Zicheng Zhang, Erli Zhang, et al.. (2024). Q-Instruct: Improving Low-Level Visual Abilities for Multi-Modality Foundation Models. 25490–25500. 24 indexed citations
14.
Zhang, Zicheng, Haoning Wu, Yingjie Zhou, et al.. (2024). LMM-PCQA: Assisting Point Cloud Quality Assessment with LMM. 7783–7792. 13 indexed citations
15.
Li, Leida, et al.. (2024). Multi-Modality Multi-Attribute Contrastive Pre-Training for Image Aesthetics Computing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 1205–1218. 4 indexed citations
16.
Li, Chunyi, Guo Lu, Haoning Wu, et al.. (2024). MISC: Ultra-Low Bitrate Image Semantic Compression Driven by Large Multimodal Model. IEEE Transactions on Image Processing. 34. 335–349. 4 indexed citations
17.
Li, Chunyi, Haoning Wu, Zicheng Zhang, et al.. (2024). Q-Refine: A Perceptual Quality Refiner for AI-Generated Image. 1–6. 3 indexed citations
18.
Wu, Haoning, Chunyi Li, Zicheng Zhang, et al.. (2024). T2I-Scorer: Quantitative Evaluation on Text-to-Image Generation via Fine-Tuned Large Multi-Modal Models. 3676–3685. 1 indexed citations
19.
Wu, Haoning, Chaofeng Chen, Liang Liao, et al.. (2023). Neighbourhood Representative Sampling for Efficient End-to-End Video Quality Assessment. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15185–15202. 42 indexed citations
20.
Lo, Sonia M., et al.. (2020). Utilizing online stochastic optimization on scheduling of intensity-modulate radiotherapy therapy (IMRT). Journal of Biomedical Informatics. 108. 103499–103499. 7 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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