Quanshi Zhang

4.4k total citations · 1 hit paper
58 papers, 1.8k citations indexed

About

Quanshi Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Transportation. According to data from OpenAlex, Quanshi Zhang has authored 58 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 7 papers in Transportation. Recurrent topics in Quanshi Zhang's work include Advanced Neural Network Applications (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Adversarial Robustness in Machine Learning (9 papers). Quanshi Zhang is often cited by papers focused on Advanced Neural Network Applications (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Adversarial Robustness in Machine Learning (9 papers). Quanshi Zhang collaborates with scholars based in China, United States and Japan. Quanshi Zhang's co-authors include Song‐Chun Zhu, Ying Wu, Ryosuke Shibasaki, Xuan Song, Yoshihide Sekimoto, Haotian Ma, Yu Yang, Ruiming Cao, Feng Shi and Huijing Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, PLoS Computational Biology and Medical Physics.

In The Last Decade

Quanshi Zhang

55 papers receiving 1.8k citations

Hit Papers

Visual interpretability for deep learning: a survey 2018 2026 2020 2023 2018 100 200 300 400 500
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. Visual interpretability for deep learning: a survey
    2018 573 citations Quanshi Zhang, Song‐Chun Zhu profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quanshi Zhang China 20 915 549 246 132 125 58 1.8k
Peng Gao China 20 761 0.8× 1.2k 2.1× 117 0.5× 120 0.9× 59 0.5× 105 2.1k
Ling Cai United States 15 276 0.3× 682 1.2× 227 0.9× 213 1.6× 162 1.3× 48 1.6k
Itamar Arel United States 12 679 0.7× 389 0.7× 189 0.8× 259 2.0× 133 1.1× 34 1.9k
Ronghua Liang China 23 413 0.5× 1.3k 2.4× 133 0.5× 65 0.5× 339 2.7× 201 2.3k
S. Maouche France 11 658 0.7× 392 0.7× 80 0.3× 66 0.5× 149 1.2× 40 1.5k
Feng Bao China 15 495 0.5× 232 0.4× 68 0.3× 133 1.0× 60 0.5× 62 2.3k
Weiwei Guo China 25 1.7k 1.8× 790 1.4× 75 0.3× 91 0.7× 46 0.4× 180 3.2k
Marco Wiering Netherlands 31 1.3k 1.4× 720 1.3× 185 0.8× 284 2.2× 114 0.9× 135 3.3k
Chao Gou China 25 785 0.9× 1.2k 2.3× 41 0.2× 162 1.2× 145 1.2× 93 2.4k
Teng Li China 22 743 0.8× 1.1k 2.1× 52 0.2× 43 0.3× 155 1.2× 139 2.2k

Countries citing papers authored by Quanshi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Quanshi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quanshi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Quanshi Zhang. A scholar is included among the top collaborators of Quanshi Zhang 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 Quanshi Zhang. Quanshi Zhang 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.
Zou, Na, Mengnan Du, Weifu Chen, et al.. (2024). Unifying Fourteen Post-Hoc Attribution Methods With Taylor Interactions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 4625–4640. 9 indexed citations
2.
Qin, Jinghui, et al.. (2024). An Introspective Data Augmentation Method for Training Math Word Problem Solvers. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 3113–3127.
3.
Ren, Jie, Qipeng Guo, Hang Yan, et al.. (2024). Identifying Semantic Induction Heads to Understand In-Context Learning. 6916–6932. 1 indexed citations
4.
Zhang, Quanshi, et al.. (2024). Explaining Generalization Power of a DNN Using Interactive Concepts. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 17105–17113. 2 indexed citations
5.
Ren, Jie, et al.. (2024). Interpretability of Neural Networks Based on Game-theoretic Interactions. 21(4). 718–739. 2 indexed citations
6.
Xu, Cheng, Hao Zhang, Xin Yue, Wen Shen, & Quanshi Zhang. (2024). Clarifying the Behavior and the Difficulty of Adversarial Training. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11507–11515.
7.
He, Ziwei, Yu Cheng, Chenghu Zhou, et al.. (2022). RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL. 3215–3229. 35 indexed citations
8.
Zhang, Quanshi, et al.. (2022). Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–17. 22 indexed citations
9.
Wu, Yuxiang, et al.. (2022). Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans. PLoS Computational Biology. 18(10). e1010594–e1010594. 5 indexed citations
10.
Ren, Jie, Die Zhang, Yisen Wang, et al.. (2021). Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness. Neural Information Processing Systems. 34. 4 indexed citations
11.
Zhang, Hao, et al.. (2021). Interpreting Multivariate Shapley Interactions in DNNs. Proceedings of the AAAI Conference on Artificial Intelligence. 35(12). 10877–10886. 19 indexed citations
12.
Wang, Xin, et al.. (2021). Interpreting Attributions and Interactions of Adversarial Attacks. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1075–1084. 7 indexed citations
13.
Zhang, Quanshi, Xin Wang, Ruiming Cao, et al.. (2020). Extraction of an Explanatory Graph to Interpret a CNN. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(11). 3863–3877. 26 indexed citations
14.
Xie, Yichen, et al.. (2020). Interpreting Multivariate Interactions in DNNs. arXiv (Cornell University). 1 indexed citations
15.
Wang, Xiting, et al.. (2019). Towards a Deep and Unified Understanding of Deep Neural Models in NLP. International Conference on Machine Learning. 2454–2463. 43 indexed citations
16.
Chen, Hao, et al.. (2019). Explaining Neural Networks Semantically and Quantitatively. 9186–9195. 38 indexed citations
17.
Song, Xuan, Quanshi Zhang, Yoshihide Sekimoto, et al.. (2015). A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 27 indexed citations
18.
Zhang, Quanshi, Xuan Song, Xiaowei Shao, Huijing Zhao, & Ryosuke Shibasaki. (2013). Unsupervised 3D category discovery and point labeling from a large urban environment. 2685–2692. 7 indexed citations
19.
Song, Xuan, et al.. (2013). Intelligent System for Human Behavior Analysis and Reasoning Following Large-Scale Disasters. IEEE Intelligent Systems. 28(4). 35–42. 44 indexed citations
20.
Zhang, Quanshi, Xuan Song, Xiaowei Shao, Huijing Zhao, & Ryosuke Shibasaki. (2013). Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes. 90. 1329–1336. 13 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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