Ou Wu

1.6k total citations
68 papers, 1.1k citations indexed

About

Ou Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ou Wu has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 14 papers in Information Systems. Recurrent topics in Ou Wu's work include Text and Document Classification Technologies (14 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Anomaly Detection Techniques and Applications (10 papers). Ou Wu is often cited by papers focused on Text and Document Classification Technologies (14 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Anomaly Detection Techniques and Applications (10 papers). Ou Wu collaborates with scholars based in China, Australia and United States. Ou Wu's co-authors include Weiming Hu, Jun Gao, Stephen J. Maybank, Bing Li, Zhouyu Fu, Steve Maybank, Mingliang Zhu, Yanguo Wang, Jun Gao and Junping Du 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 Cybernetics.

In The Last Decade

Ou Wu

64 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ou Wu China 18 642 380 205 154 129 68 1.1k
Gita Sukthankar United States 18 602 0.9× 264 0.7× 114 0.6× 130 0.8× 75 0.6× 113 1.1k
Renata Lopes Rosa Brazil 18 408 0.6× 318 0.8× 144 0.7× 221 1.4× 255 2.0× 60 956
Xiaomei Yu China 16 600 0.9× 259 0.7× 378 1.8× 199 1.3× 109 0.8× 66 1.1k
Erheng Zhong Hong Kong 18 587 0.9× 293 0.8× 372 1.8× 89 0.6× 97 0.8× 28 1.1k
Minsuk Kahng United States 14 563 0.9× 454 1.2× 228 1.1× 99 0.6× 93 0.7× 41 1.0k
Jiezhong Qiu China 12 714 1.1× 185 0.5× 179 0.9× 113 0.7× 38 0.3× 22 1.2k
Artur d’Avila Garcez United Kingdom 20 1.1k 1.7× 192 0.5× 143 0.7× 60 0.4× 170 1.3× 105 1.5k
Gabriel Murray Canada 19 1.3k 2.1× 348 0.9× 512 2.5× 108 0.7× 141 1.1× 72 2.0k
Teng-Sheng Moh United States 16 396 0.6× 132 0.3× 302 1.5× 350 2.3× 115 0.9× 95 905
Zhonghai Wu China 15 690 1.1× 162 0.4× 457 2.2× 299 1.9× 91 0.7× 161 1.1k

Countries citing papers authored by Ou Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ou Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ou Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ou Wu. A scholar is included among the top collaborators of Ou 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 Ou Wu. Ou 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.
Zhou, Xiaoling, et al.. (2024). Adversarial Training With Anti-Adversaries. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10210–10227. 3 indexed citations
2.
Wu, Ou, et al.. (2024). Revisiting the Effective Number Theory for Imbalanced Learning. IEEE Transactions on Knowledge and Data Engineering. 36(8). 4192–4206. 3 indexed citations
3.
Hou, Linlin, Haixiang Zhang, Qing-Hu Hou, et al.. (2023). SARW: Similarity-Aware Random Walk for GCN. Intelligent Data Analysis. 27(6). 1615–1636.
4.
Zhou, Xiaoling, et al.. (2023). Investigating the Sample Weighting Mechanism Using an Interpretable Weighting Framework. IEEE Transactions on Knowledge and Data Engineering. 36(5). 2041–2055. 3 indexed citations
5.
Ye, Yingchun, et al.. (2022). Investigating annotation noise for named entity recognition. Neural Computing and Applications. 35(1). 993–1007. 8 indexed citations
6.
Wu, Ou, et al.. (2022). Elementary discourse units with sparse attention for multi-label emotion classification. Knowledge-Based Systems. 240. 108114–108114. 7 indexed citations
7.
Zhang, Ji, Ou Wu, Ting Yu, et al.. (2021). Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention. Knowledge-Based Systems. 235. 107621–107621. 23 indexed citations
8.
Wu, Ou, et al.. (2020). Sentiment analysis via dually-born-again network and sample selection. Intelligent Data Analysis. 24(6). 1257–1271. 2 indexed citations
9.
Yang, Tao, et al.. (2019). Aspect-Based Sentiment Analysis with New Target Representation and Dependency Attention. IEEE Transactions on Affective Computing. 13(2). 640–650. 20 indexed citations
10.
Fu, Zhouyu, et al.. (2016). Fast kernel SVM training via support vector identification. 1554–1559. 2 indexed citations
11.
Wu, Ou, et al.. (2016). Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion Learning. IEEE Transactions on Multimedia. 18(6). 1062–1076. 17 indexed citations
12.
Fu, Zhouyu, et al.. (2015). Optimizing locally linear classifiers with supervised anchor point learning. International Conference on Artificial Intelligence. 3699–3706. 5 indexed citations
13.
Wu, Ou, et al.. (2013). Visual object tracking using spatial Context Information and Global tracking skills. Computer Vision and Image Understanding. 125. 1–15. 11 indexed citations
14.
Wu, Ou, Weiming Hu, Stephen J. Maybank, Mingliang Zhu, & Bing Li. (2012). Efficient Clustering Aggregation Based on Data Fragments. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 42(3). 913–926. 31 indexed citations
15.
Wu, Ou, Weiming Hu, & Jun Gao. (2011). Learning to rank under multiple annotators. International Joint Conference on Artificial Intelligence. 1571–1576. 10 indexed citations
16.
Wu, Ou, Weiming Hu, & Jun Gao. (2011). Learning to predict the perceived visual quality of photos. 225–232. 51 indexed citations
17.
Wang, Jianchao, Bing Li, Weiming Hu, & Ou Wu. (2011). Horror video scene recognition via Multiple-Instance learning. 1325–1328. 23 indexed citations
18.
Hu, Weiming, et al.. (2010). Patch-based skin color detection and its application to pornography image filtering. 1227–1228. 29 indexed citations
19.
Hu, Weiming, et al.. (2007). Recognition of Pornographic Web Pages by Classifying Texts and Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(6). 1019–1034. 126 indexed citations
20.
Wu, Ou, et al.. (2006). A Novel Web Page Filtering System by Combining Texts and Images. 732–735. 17 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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