Keze Wang

2.3k total citations · 1 hit paper
38 papers, 1.3k citations indexed

About

Keze Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Keze Wang has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Keze Wang's work include Human Pose and Action Recognition (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Multimodal Machine Learning Applications (8 papers). Keze Wang is often cited by papers focused on Human Pose and Action Recognition (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Multimodal Machine Learning Applications (8 papers). Keze Wang collaborates with scholars based in China, United States and Hong Kong. Keze Wang's co-authors include Liang Lin, Dongyu Zhang, Ruimao Zhang, Ya Li, Lei Zhang, Wangmeng Zuo, Guanbin Li, Jiangbo Lu, Tianhao Wei and Yuan Xie and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Keze Wang

32 papers receiving 1.3k citations

Hit Papers

Cost-Effective Active Learning for Deep Image Classification 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. Cost-Effective Active Learning for Deep Image Classification
    2016 400 citations Keze Wang, Liang Lin et al. IEEE Transactions on Circuits and Systems for Video Technology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keze Wang China 16 874 543 110 77 75 38 1.3k
Robinson Piramuthu United States 12 907 1.0× 424 0.8× 115 1.0× 54 0.7× 86 1.1× 26 1.3k
Tianshui Chen China 18 1.4k 1.6× 891 1.6× 114 1.0× 34 0.4× 49 0.7× 59 1.8k
Peiguang Jing China 16 706 0.8× 296 0.5× 109 1.0× 68 0.9× 61 0.8× 92 1.1k
Jae-Yeal Nam South Korea 20 1.0k 1.2× 162 0.3× 126 1.1× 45 0.6× 62 0.8× 56 1.4k
Yuzhu Ji China 14 639 0.7× 238 0.4× 92 0.8× 57 0.7× 31 0.4× 30 996
Hongyang Li China 14 806 0.9× 374 0.7× 90 0.8× 30 0.4× 79 1.1× 25 1.0k
Congyan Lang China 16 901 1.0× 392 0.7× 105 1.0× 36 0.5× 18 0.2× 107 1.2k
Xingping Dong China 20 1.6k 1.8× 296 0.5× 177 1.6× 76 1.0× 54 0.7× 30 1.9k
Minh Hoai United States 21 1.2k 1.4× 490 0.9× 133 1.2× 92 1.2× 54 0.7× 60 1.5k

Countries citing papers authored by Keze Wang

Since Specialization
Citations

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

Fields of papers citing papers by Keze Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keze Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Keze Wang. A scholar is included among the top collaborators of Keze Wang 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 Keze Wang. Keze Wang 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
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Wu, Hefeng, et al.. (2025). SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting. IEEE Transactions on Image Processing. 34. 4631–4645.
4.
Wang, Zeqing, Ke Gong, Keze Wang, et al.. (2024). Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1770–1777. 6 indexed citations
5.
Qin, Jinghui, et al.. (2024). Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 18689–18697. 1 indexed citations
6.
Wang, Guangrun, et al.. (2024). NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1156–1164.
7.
Wang, Keze, et al.. (2024). Continuous Value Assignment: A Doubly Robust Data Augmentation for Off-Policy Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 8153–8165.
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Zhou, Xingyu, et al.. (2024). Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention. 25399–25408. 8 indexed citations
9.
Wu, Hefeng, et al.. (2024). Improving Network Interpretability via Explanation Consistency Evaluation. IEEE Transactions on Multimedia. 26. 11261–11273.
10.
Wang, Keze, et al.. (2023). Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 1–12. 2 indexed citations
11.
Chen, Xipeng, Junzheng Zhang, Keze Wang, Pengxu Wei, & Liang Lin. (2023). Multi-Person 3D Pose Estimation With Occlusion Reasoning. IEEE Transactions on Multimedia. 26. 878–889. 3 indexed citations
12.
Cao, Qingxing, et al.. (2021). Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1594–1603. 10 indexed citations
13.
Akula, Arjun, Spandana Gella, Keze Wang, Song‐Chun Zhu, & Siva Reddy. (2021). Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6398–6416. 1 indexed citations
14.
Akula, Arjun, Keze Wang, Changsong Liu, et al.. (2021). CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models. iScience. 25(1). 103581–103581. 35 indexed citations
15.
Wu, Hefeng, Yafei Hu, Keze Wang, et al.. (2019). Instance-aware representation learning and association for online multi-person tracking. Pattern Recognition. 94. 25–34. 23 indexed citations
16.
Li, Guanbin, Yuan Xie, Tianhao Wei, Keze Wang, & Liang Lin. (2018). Flow Guided Recurrent Neural Encoder for Video Salient Object Detection. 3243–3252. 133 indexed citations
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Chen, Ziliang, Keze Wang, Xiao Wang, et al.. (2017). Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning. IEEE Transactions on Circuits and Systems for Video Technology. 28(10). 2667–2678. 6 indexed citations
19.
Wang, Keze, Liang Lin, Wangmeng Zuo, Shuhang Gu, & Lei Zhang. (2016). Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 2138–2146. 38 indexed citations
20.

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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