Mingrui Wu

1.7k total citations
24 papers, 917 citations indexed

About

Mingrui Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Mingrui Wu has authored 24 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Mingrui Wu's work include Face and Expression Recognition (9 papers), Neural Networks and Applications (6 papers) and Multimodal Machine Learning Applications (4 papers). Mingrui Wu is often cited by papers focused on Face and Expression Recognition (9 papers), Neural Networks and Applications (6 papers) and Multimodal Machine Learning Applications (4 papers). Mingrui Wu collaborates with scholars based in United States, Germany and China. Mingrui Wu's co-authors include Jieping Ye, Bernhard Schölkopf, Olivier Chapelle, Zheng Zhao, Gökhan Bakır, Kai Yu, Shipeng Yu, Hans‐Peter Kriegel, Volker Tresp and Lin Xiao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemical Engineering Journal and Journal of Machine Learning Research.

In The Last Decade

Mingrui Wu

21 papers receiving 878 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingrui Wu United States	14	541	526	109	89	86	24	917
Xiaolong Teng China	5	436 0.8×	347 0.7×	152 1.4×	73 0.8×	65 0.8×	5	884
Pak-Ming Cheung Hong Kong	5	527 1.0×	456 0.9×	43 0.4×	48 0.5×	90 1.0×	5	819
Jingyu Yang China	16	266 0.5×	665 1.3×	179 1.6×	141 1.6×	68 0.8×	29	1.2k
Terry Windeatt United Kingdom	19	448 0.8×	445 0.8×	47 0.4×	46 0.5×	42 0.5×	56	934
Lide Wu China	19	703 1.3×	602 1.1×	146 1.3×	69 0.8×	38 0.4×	85	1.3k
Guoqing Chao China	15	567 1.0×	611 1.2×	30 0.3×	118 1.3×	34 0.4×	35	975
Edward W. Wild United States	8	620 1.1×	606 1.2×	25 0.2×	77 0.9×	248 2.9×	13	944
Mingjing Du China	14	729 1.3×	435 0.8×	75 0.7×	70 0.8×	31 0.4×	26	962
Yiteng Pan China	12	289 0.5×	428 0.8×	191 1.8×	69 0.8×	25 0.3×	18	797

Countries citing papers authored by Mingrui Wu

Since Specialization

Citations

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

Fields of papers citing papers by Mingrui Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingrui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingrui Wu. A scholar is included among the top collaborators of Mingrui 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 Mingrui Wu. Mingrui Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ji, Jiujiang, Wenting Li, Jingsong Lu, et al.. (2025). Visible light-triggered synergistic antibacterial coating based on a PDMS/porphyrin graft copolymer. Chemical Engineering Journal. 523. 168623–168623.

Chen, Jiahui, et al.. (2025). LDAM: A lightweight dual attention module for optimizing automotive malware classification. Array. 26. 100396–100396.

Ji, Jiujiang, Changyong Cao, Ruixiang Qu, et al.. (2025). Flexible Waterborne Polyurethane-Bacterial Cellulose Films for Real-Time Physiological Monitoring. Polymers. 17(6). 787–787. 1 indexed citations

Wu, Mingrui, Yuqi Liu, Jiayi Ji, Xiaoshuai Sun, & Rongrong Ji. (2024). Toward Open-Set Human Object Interaction Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 6066–6073.

Zhu, Dongjie, et al.. (2023). DCRL-KG: Distributed Multi-Modal Knowledge Graph Retrieval Platform Based on Collaborative Representation Learning. Intelligent Automation & Soft Computing. 36(3). 3295–3307. 2 indexed citations

Wu, Mingrui, et al.. (2023). End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 2839–2846. 19 indexed citations

Wu, Mingrui, Liang Lan, & Xiaotian Dai. (2022). Discussion of tumor mutation burden as an indicator to predict efficacy of immune checkpoint inhibitors: A case report. Frontiers in Oncology. 12. 939022–939022. 1 indexed citations

Zhang, Xiangliang, et al.. (2021). PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2). 770–782. 4 indexed citations

Xiao, Lin, Dengyong Zhou, & Mingrui Wu. (2011). Hierarchical Classification via Orthogonal Transfer. International Conference on Machine Learning. 801–808. 55 indexed citations

10.

Wu, Mingrui & Jieping Ye. (2009). A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(11). 2088–2092. 126 indexed citations

11.

Chapelle, Olivier & Mingrui Wu. (2009). Gradient descent optimization of smoothed information retrieval metrics. Information Retrieval. 13(3). 216–235. 113 indexed citations

12.

Wu, Mingrui, Yi Chang, Zhaohui Zheng, & Hongyuan Zha. (2009). Smoothing DCG for learning to rank. 1923–1926. 15 indexed citations

13.

Chen, Jianhui, et al.. (2008). Learning subspace kernels for classification. 2. 106–114. 13 indexed citations

14.

Wu, Mingrui & Bernhard Schölkopf. (2007). Transductive Classification via Local Learning Regularization. Max Planck Institute for Plasma Physics. 628–635. 87 indexed citations

15.

Wu, Mingrui. (2007). Collaborative Filtering via Ensembles of Matrix Factorizations. Max Planck Institute for Plasma Physics. 43–47. 46 indexed citations

16.

Ye, Jieping, Zheng Zhao, & Mingrui Wu. (2007). Discriminative K-means for Clustering. Max Planck Institute for Plasma Physics. 20. 1649–1656. 139 indexed citations

17.

Wu, Mingrui & Jason Farquhar. (2007). A subspace kernel for nonlinear feature extraction. MPG.PuRe (Max Planck Society). 1125–1130. 4 indexed citations

18.

Wu, Mingrui, Bernhard Schölkopf, & Gökhan Bakır. (2006). A Direct Method for Building Sparse Kernel Learning Algorithms. Journal of Machine Learning Research. 7(21). 603–624. 64 indexed citations

19.

Wu, Mingrui, Bernhard Schölkopf, & Gökhan Bakır. (2005). Building Sparse Large Margin Classifiers. 996–1003. 30 indexed citations

20.

Wu, Mingrui, Bo Zhang, & Ling Zhang. (2002). A neural network based classifier for handwritten Chinese character recognition. 2. 561–564. 3 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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