Q. M. Jonathan Wu

17.5k total citations · 5 hit papers
503 papers, 12.8k citations indexed

About

Q. M. Jonathan Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Q. M. Jonathan Wu has authored 503 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 322 papers in Computer Vision and Pattern Recognition, 138 papers in Artificial Intelligence and 65 papers in Media Technology. Recurrent topics in Q. M. Jonathan Wu's work include Advanced Image and Video Retrieval Techniques (60 papers), Image Retrieval and Classification Techniques (58 papers) and Video Surveillance and Tracking Methods (56 papers). Q. M. Jonathan Wu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (60 papers), Image Retrieval and Classification Techniques (58 papers) and Video Surveillance and Tracking Methods (56 papers). Q. M. Jonathan Wu collaborates with scholars based in Canada, China and United States. Q. M. Jonathan Wu's co-authors include X.-C. Zhang, Gaurav Bhatnagar, Yimin Yang, Thanh Minh Nguyen, Subrahmanyam Murala, Hui Zhang, Zhili Zhou, Xingming Sun, Zheng Liu and Thangarajah Akilan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Q. M. Jonathan Wu

462 papers receiving 12.3k citations

Hit Papers

Free-space electro-optic sampling of terahertz beams 1995 2026 2005 2015 1995 2015 2013 2016 2022 200 400 600
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. Free-space electro-optic sampling of terahertz beams
    1995 710 citations Q. M. Jonathan Wu et al. profile →
  2. Image segmentation by generalized hierarchical fuzzy C-means algorithm
    2015 391 citations Q. M. Jonathan Wu et al. profile →
  3. Directive Contrast Based Multimodal Medical Image Fusion in NSCT Domain
    2013 356 citations Q. M. Jonathan Wu et al. IEEE Transactions on Multimedia profile →
  4. Effective and Efficient Global Context Verification for Image Copy Detection
    2016 277 citations Zhili Zhou, Q. M. Jonathan Wu et al. profile →
  5. A Review of Generalized Zero-Shot Learning Methods
    2022 239 citations Q. M. Jonathan Wu et al. profile →

Peers

Q. M. Jonathan Wu
Daniel D. Lee United States
Mário A. T. Figueiredo Portugal
David Forsyth United States
Qionghai Dai China
Michael K. Ng Hong Kong
Sam T. Roweis Canada
Pushmeet Kohli United Kingdom
Tamara G. Kolda United States
L. D. Jackel United States
Gilbert Strang United States
Daniel D. Lee United States
Q. M. Jonathan Wu
Citations per year, relative to Q. M. Jonathan Wu Q. M. Jonathan Wu (= 1×) peers Daniel D. Lee

Countries citing papers authored by Q. M. Jonathan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Q. M. Jonathan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Q. M. Jonathan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Q. M. Jonathan Wu. A scholar is included among the top collaborators of Q. M. Jonathan 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 Q. M. Jonathan Wu. Q. M. Jonathan 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, Zhenyan, Zhenxue Chen, Chengyun Liu, et al.. (2025). Diversity augmentation and multi-fuzzy label for semi-supervised semantic segmentation. Neurocomputing. 630. 129681–129681. 1 indexed citations
2.
Tang, Longwen, et al.. (2025). ConvFeatNet ensemble: Integrating microstructure and pre-defined features for enhanced prediction of porous material properties. Materials Science and Engineering A. 931. 148173–148173.
3.
Song, Guohui, et al.. (2025). Techno-economic and life cycle greenhouse gas assessment of green ammonia produced by low-pressure Haber-Bosch process. Energy Nexus. 17. 100379–100379. 8 indexed citations
4.
Zhang, Zhiqiang, et al.. (2025). A novel noise reduction and interaction enrichment recommendation model via contrastive learning. Neurocomputing. 645. 130469–130469. 2 indexed citations
5.
Elazab, Ahmed, Ruiquan Ge, Lingyan Zhang, et al.. (2025). ICH-PRNet: a cross-modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism. Neural Networks. 184. 107096–107096. 7 indexed citations
6.
Li, Ming, et al.. (2025). Two-Stage Target Detection for Compact HFSWR With Space-to-Depth YOLOv8 and Multiframe ViT. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 10442–10457. 1 indexed citations
7.
Zhang, Wandong, et al.. (2024). Progressive Learning Model for Big Data Analysis Using Subnetwork and Moore-Penrose Inverse. IEEE Transactions on Multimedia. 26. 8104–8118. 3 indexed citations
8.
Zhang, Zihang, Yuling Liu, Zhili Zhou, et al.. (2024). DGeC: Dynamically and Globally Enhanced Convolution. IEEE Transactions on Artificial Intelligence. 6(4). 921–933.
9.
Li, Bin, et al.. (2023). A completed parted region local neighborhood energy pattern for texture classification. Digital Signal Processing. 137. 104031–104031. 3 indexed citations
10.
Zhou, Zhili, Ding Chun, Jin Li, et al.. (2022). Sequential Order-Aware Coding-Based Robust Subspace Clustering for Human Action Recognition in Untrimmed Videos. IEEE Transactions on Image Processing. 32. 13–28. 14 indexed citations
11.
Yu, Peipeng, et al.. (2022). FLD-SRC: Fingerprint Liveness Detection for AFIS Based on Spatial Ridges Continuity. IEEE Journal of Selected Topics in Signal Processing. 16(4). 817–827. 10 indexed citations
12.
Zhang, Ling, et al.. (2021). DOA Estimation for HFSWR Target Based on PSO-ELM. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 20 indexed citations
13.
Zhang, Wandong, et al.. (2021). Fast Ship Detection With Spatial-Frequency Analysis and ANOVA-Based Feature Fusion. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 16 indexed citations
14.
Yuan, Chengsheng, et al.. (2019). Fingerprint Liveness Detection Using an Improved CNN With Image Scale Equalization. IEEE Access. 7. 26953–26966. 60 indexed citations
15.
Yuan, Chengsheng, Zhihua Xia, Xingming Sun, & Q. M. Jonathan Wu. (2019). Deep Residual Network With Adaptive Learning Framework for Fingerprint Liveness Detection. IEEE Transactions on Cognitive and Developmental Systems. 12(3). 461–473. 49 indexed citations
16.
Chen, Zhenxue, et al.. (2018). Fast Semantic Segmentation for Scene Perception. IEEE Transactions on Industrial Informatics. 15(2). 1183–1192. 96 indexed citations
17.
Zhang, Ling, et al.. (2017). State Identification of Duffing Oscillator Based on Extreme Learning Machine. IEEE Signal Processing Letters. 25(1). 25–29. 15 indexed citations
18.
Cao, Jiuwen, Kezhi Mao, Q. M. Jonathan Wu, & Amaury Lendasse. (2016). Proceedings of ELM-2015 Volume 2: Theory, Algorithms and Applications (II). Springer eBooks. 2 indexed citations
19.
Qiu, Qinru, Ying Tan, & Q. M. Jonathan Wu. (2007). Stochastic modeling and optimization for robust power management in a partially observable system. Design, Automation, and Test in Europe. 779–784. 13 indexed citations
20.
Hsieh, Cheng-Ta, Q. M. Jonathan Wu, Cunsheng Ding, & Massoud Pedram. (1996). Statistical sampling and regression analysis for RT-level power evaluation. International Conference on Computer Aided Design. 583–588. 26 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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