Dijun Luo

1.3k total citations
36 papers, 754 citations indexed

About

Dijun Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mathematics. According to data from OpenAlex, Dijun Luo has authored 36 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mathematics. Recurrent topics in Dijun Luo's work include Face and Expression Recognition (11 papers), Sparse and Compressive Sensing Techniques (5 papers) and Tensor decomposition and applications (5 papers). Dijun Luo is often cited by papers focused on Face and Expression Recognition (11 papers), Sparse and Compressive Sensing Techniques (5 papers) and Tensor decomposition and applications (5 papers). Dijun Luo collaborates with scholars based in United States, China and Hong Kong. Dijun Luo's co-authors include Heng Huang, Chris Ding, Xiaojun Zhu, Xiaobing Wu, Guihai Chen, Feiping Nie, Tao Li, Fei Wang, Marianthi Markatou and Jimeng Sun and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and American Journal Of Pathology.

In The Last Decade

Dijun Luo

36 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dijun Luo United States	16	275	213	158	99	83	36	754
Jie Cheng United States	16	423 1.5×	184 0.9×	179 1.1×	148 1.5×	122 1.5×	51	1.0k
Erik Nijkamp United States	10	416 1.5×	271 1.3×	150 0.9×	178 1.8×	42 0.5×	22	1.1k
Hong Peng China	15	255 0.9×	246 1.2×	44 0.3×	141 1.4×	19 0.2×	55	678
Chris Ding United States	9	353 1.3×	283 1.3×	58 0.4×	60 0.6×	24 0.3×	13	671
Aurélie Lozano United States	16	323 1.2×	116 0.5×	62 0.4×	202 2.0×	35 0.4×	52	857
Alioune Ngom Canada	18	255 0.9×	147 0.7×	123 0.8×	540 5.5×	71 0.9×	90	1.2k
Jaime G. Carbonell United States	8	288 1.0×	139 0.7×	61 0.4×	80 0.8×	30 0.4×	21	738
Lili Pan China	14	435 1.6×	521 2.4×	79 0.5×	43 0.4×	64 0.8×	78	996
Wangdong Yang China	12	209 0.8×	145 0.7×	236 1.5×	16 0.2×	86 1.0×	52	670
Grigorios Tzortzis Greece	9	425 1.5×	386 1.8×	62 0.4×	36 0.4×	26 0.3×	11	717

Countries citing papers authored by Dijun Luo

Since Specialization

Citations

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

Fields of papers citing papers by Dijun Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dijun Luo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Lu, Lei Han, Xinru Chen, et al.. (2021). Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads. IEEE Transactions on Neural Networks and Learning Systems. 33(10). 5361–5373. 5 indexed citations

Yao, Yao, et al.. (2021). Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. 4202–4208. 8 indexed citations

Luo, Dijun & Heng Huang. (2014). Video Motion Segmentation Using New Adaptive Manifold Denoising Model. 65–72. 3 indexed citations

Chen, Guihai, et al.. (2014). Building Maximum Lifetime Shortest Path Data Aggregation Trees in Wireless Sensor Networks. ACM Transactions on Sensor Networks. 11(1). 1–24. 51 indexed citations

Luo, Dijun, Heng Huang, Feiping Nie, & Chris Ding. (2012). Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. Neural Information Processing Systems. 25. 2960–2968. 15 indexed citations

Sircar, Kanishka, Heng Huang, Limei Hu, et al.. (2012). Integrative Molecular Profiling Reveals Asparagine Synthetase Is a Target in Castration-Resistant Prostate Cancer. American Journal Of Pathology. 180(3). 895–903. 68 indexed citations

Luo, Dijun, Chris Ding, & Heng Huang. (2012). Parallelization with Multiplicative Algorithms for Big Data Mining. 489–498. 18 indexed citations

Luo, Dijun, Feiping Nie, Heng Huang, & Chris Ding. (2011). Cauchy Graph Embedding. International Conference on Machine Learning. 553–560. 58 indexed citations

Luo, Dijun & Heng Huang. (2011). Ball ranking machines for content-based multimedia retrieval. International Joint Conference on Artificial Intelligence. 1390–1395. 1 indexed citations

10.

Luo, Dijun, Xiaojun Zhu, Xiaobing Wu, & Guihai Chen. (2011). Maximizing lifetime for the shortest path aggregation tree in wireless sensor networks. 11. 1566–1574. 90 indexed citations

11.

Luo, Dijun, Chris Ding, Heng Huang, & Feiping Nie. (2011). Consensus spectral clustering in near-linear time. 22. 1079–1090. 18 indexed citations

12.

Luo, Dijun, Heng Huang, & Chris Ding. (2011). Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. 1443–1448. 10 indexed citations

13.

Zhang, Miao, et al.. (2011). Low-order tensor decompositions for social tagging recommendation. 695–704. 27 indexed citations

14.

Luo, Dijun, Chris Ding, & Heng Huang. (2011). Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. Proceedings of the AAAI Conference on Artificial Intelligence. 25(1). 423–428. 1 indexed citations

15.

Gu, Ling, Xiaoyu Liu, Yi Yang, Dijun Luo, & Xiaoxiang Zheng. (2010). ASICs aggravate acidosis-induced injuries during ischemic reperfusion. Neuroscience Letters. 479(1). 63–68. 14 indexed citations

16.

Luo, Dijun, Chris Ding, & Heng Huang. (2010). Towards Structural Sparsity: An Explicit l2/l0 Approach. 344–353. 26 indexed citations

17.

Luo, Dijun, Chris Ding, & Heng Huang. (2009). Symmetric two dimensional linear discriminant analysis (2DLDA). 2009 IEEE Conference on Computer Vision and Pattern Recognition. 17. 2820–2827. 9 indexed citations

18.

Huang, Heng, Chris Ding, Dijun Luo, & Tao Li. (2008). Simultaneous tensor subspace selection and clustering. 327–335. 40 indexed citations

19.

Luo, Dijun, et al.. (2008). An improved error-correcting output coding framework with kernel-based decoding. Neurocomputing. 71(16-18). 3131–3139. 3 indexed citations

20.

Ding, Chris, Tao Li, Dijun Luo, & Wei Peng. (2008). Posterior probabilistic clustering using NMF. 831–832. 8 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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