Qi Zhao

5.2k total citations · 2 hit papers
105 papers, 3.2k citations indexed

About

Qi Zhao is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Qi Zhao has authored 105 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Vision and Pattern Recognition, 29 papers in Cognitive Neuroscience and 21 papers in Artificial Intelligence. Recurrent topics in Qi Zhao's work include Visual Attention and Saliency Detection (43 papers), Multimodal Machine Learning Applications (24 papers) and Advanced Image and Video Retrieval Techniques (22 papers). Qi Zhao is often cited by papers focused on Visual Attention and Saliency Detection (43 papers), Multimodal Machine Learning Applications (24 papers) and Advanced Image and Video Retrieval Techniques (22 papers). Qi Zhao collaborates with scholars based in United States, Singapore and China. Qi Zhao's co-authors include Ming Jiang, Chengyao Shen, Mohan Kankanhalli, Xun Huang, Xavier Boix, Juanyong Duan, Shengsheng Huang, Yongkang Wong, Junnan Li and Jun Xu and has published in prestigious journals such as Nature Communications, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Qi Zhao

98 papers receiving 3.1k citations

Hit Papers

align trajectories sort by overperformance

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.

SALICON: Saliency in Context

2015 400 citations Ming Jiang, Qi Zhao et al. profile →
SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks

2015 376 citations Xun Huang, Chengyao Shen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qi Zhao United States	30	2.0k	875	529	502	338	105	3.2k
Marc Pomplun United States	28	1.1k 0.5×	1.4k 1.6×	283 0.5×	650 1.3×	120 0.4×	109	2.9k
Ming Jiang United States	20	1.1k 0.6×	733 0.8×	235 0.4×	362 0.7×	44 0.1×	97	2.0k
Bertram E. Shi Hong Kong	25	1.2k 0.6×	818 0.9×	726 1.4×	312 0.6×	281 0.8×	193	2.8k
Paul Schrater United States	28	472 0.2×	2.0k 2.3×	437 0.8×	92 0.2×	99 0.3×	102	3.4k
Walter F. Bischof Canada	34	853 0.4×	2.2k 2.5×	264 0.5×	469 0.9×	27 0.1×	146	3.5k
Kurt Debattista United Kingdom	25	1.6k 0.8×	256 0.3×	136 0.3×	186 0.4×	136 0.4×	164	2.5k
Mohammad H. Mahoor United States	30	2.6k 1.3×	925 1.1×	643 1.2×	350 0.7×	61 0.2×	134	4.6k
Lambert Schomaker Netherlands	39	3.5k 1.7×	474 0.5×	1.4k 2.7×	501 1.0×	64 0.2×	207	4.9k
David E. Irwin United States	43	871 0.4×	5.1k 5.9×	263 0.5×	736 1.5×	406 1.2×	98	6.6k
Ruth Rosenholtz United States	32	2.3k 1.2×	2.1k 2.4×	219 0.4×	665 1.3×	26 0.1×	93	4.5k

Countries citing papers authored by Qi Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Qi Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Zhao

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

20 of 20 papers shown

Jiang, Ming, et al.. (2025). Explainable Saliency: Articulating Reasoning with Contextual Prioritization. 9601–9610.

Wu, Cheng-Ying, et al.. (2024). Machine learning-based real-time task scheduling for Apache Storm. 8. 19–19.

Zhao, Qi, Ruobing Wang, Yukuo Cen, et al.. (2024). LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering. 22600–22632. 2 indexed citations

Zhao, Qi, et al.. (2024). EMGCipher: Decoding Electromyography for Upper-limb Gesture Classification with Explainable AI for Resource Optimization. PubMed. 2024. 1–5. 1 indexed citations

Zhao, Qi, et al.. (2023). Resilient mobile distributed computing framework: a coded computing and named data networking approach (Conference Presentation). 107. 3–3. 1 indexed citations

Zhang, Yifeng, et al.. (2022). Query and Attention Augmentation for Knowledge-Based Explainable Reasoning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 15555–15564. 9 indexed citations

Luo, Yan, Yongkang Wong, Mohan Kankanhalli, & Qi Zhao. (2022). Learning to Minimize the Remainder in Supervised Learning. IEEE Transactions on Multimedia. 25. 1738–1748. 1 indexed citations

Nguyen, Anh Tuan, Ming Jiang, Jian Xu, et al.. (2021). A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control. arXiv (Cornell University). 28 indexed citations

Chen, Xianyu, Ming Jiang, & Qi Zhao. (2021). Predicting Human Scanpaths in Visual Question Answering. 10871–10880. 30 indexed citations

10.

Nguyen, Anh Tuan, Jian Xu, Ming Jiang, et al.. (2020). A bioelectric neural interface towards intuitive prosthetic control for amputees. Journal of Neural Engineering. 17(6). 66001–66001. 27 indexed citations

11.

Luo, Yan, Ming Jiang, & Qi Zhao. (2019). Visual Attention in Multi-Label Image Classification. 820–827. 12 indexed citations

12.

Wong, Yongkang, et al.. (2019). Learning to Detect Human-Object Interactions With Knowledge. 2019–2028. 92 indexed citations

13.

Li, Junnan, Yongkang Wong, Qi Zhao, & Mohan Kankanhalli. (2019). Video Storytelling: Textual Summaries for Events. IEEE Transactions on Multimedia. 22(2). 554–565. 29 indexed citations

14.

Zhang, Mengmi, Jiashi Feng, Joo‐Hwee Lim, Qi Zhao, & Gabriel Kreiman. (2018). What am I searching for. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

15.

Zhang, Mengmi, Jiashi Feng, Keng Teck, et al.. (2018). Finding any Waldo with zero-shot invariant and efficient visual search. Nature Communications. 9(1). 3730–3730. 29 indexed citations

16.

Liang, Haoran, Ming Jiang, Ronghua Liang, & Qi Zhao. (2017). Visual-verbal consistency of image saliency. 3489–3494. 1 indexed citations

17.

Huang, Xun, Chengyao Shen, Xavier Boix, & Qi Zhao. (2015). SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks. 262–270. 376 indexed citations breakdown →

18.

Wang, Shuo, Ming Jiang, Elizabeth A. Laugeson, et al.. (2015). Atypical Visual Saliency in Autism Spectrum Disorder Quantified through Model-Based Eye Tracking. Neuron. 88(3). 604–616. 250 indexed citations

19.

Jiang, Ming, Jinhong Xu, & Qi Zhao. (2014). Where Do People Look at in Crowded Natural Scenes?. Journal of Vision. 14(10). 1052–1052. 2 indexed citations

20.

Duh, Henry Been‐Lirn, et al.. (2013). Attributes of Subtle Cues for Facilitating Visual Search in Augmented Reality. IEEE Transactions on Visualization and Computer Graphics. 20(3). 404–412. 22 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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