Dong Huang

7.8k total citations · 3 hit papers
175 papers, 4.6k citations indexed

About

Dong Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Dong Huang has authored 175 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Computer Vision and Pattern Recognition, 85 papers in Artificial Intelligence and 18 papers in Media Technology. Recurrent topics in Dong Huang's work include Face and Expression Recognition (48 papers), Advanced Clustering Algorithms Research (30 papers) and Video Surveillance and Tracking Methods (15 papers). Dong Huang is often cited by papers focused on Face and Expression Recognition (48 papers), Advanced Clustering Algorithms Research (30 papers) and Video Surveillance and Tracking Methods (15 papers). Dong Huang collaborates with scholars based in China, United States and Singapore. Dong Huang's co-authors include Chang‐Dong Wang, Jianhuang Lai, Man-Sheng Chen, Guangyu Zhang, Ling Huang, Haisong Huang, Qingsong Fan, Liguo Yao, Jianan Wei and Cheng Xiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Dong Huang

159 papers receiving 4.5k citations

Hit Papers

align trajectories

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.

Polarized self-attention: Towards high-quality pixel-wise mapping

2022 190 citations Dong Huang et al. Neurocomputing profile →
Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity

2023 155 citations Dong Huang, Chang‐Dong Wang et al. profile →
Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning

2023 112 citations Dong Huang, Chang‐Dong Wang et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dong Huang China	38	2.7k	2.2k	445	328	297	175	4.6k
Sicheng Zhao China	40	3.2k 1.2×	2.2k 1.0×	234 0.5×	106 0.3×	263 0.9×	162	5.6k
Jun Yu China	44	6.8k 2.6×	3.4k 1.6×	948 2.1×	128 0.4×	301 1.0×	276	9.5k
Lei Zhu China	42	4.2k 1.6×	2.8k 1.3×	439 1.0×	96 0.3×	192 0.6×	206	6.3k
Zhaohong Deng China	33	1.2k 0.5×	2.1k 1.0×	188 0.4×	103 0.3×	162 0.5×	146	3.6k
Jianping Fan China	38	3.6k 1.4×	2.0k 0.9×	602 1.4×	237 0.7×	181 0.6×	275	5.5k
Fumin Shen China	45	6.1k 2.3×	2.9k 1.3×	539 1.2×	115 0.4×	86 0.3×	205	7.7k
Songcan Chen China	48	6.3k 2.4×	3.8k 1.7×	1.6k 3.7×	192 0.6×	283 1.0×	271	9.5k
Changqing Zhang China	46	5.3k 2.0×	3.4k 1.5×	1.3k 2.9×	331 1.0×	73 0.2×	101	7.5k
Jiancheng Lv China	29	2.0k 0.8×	1.8k 0.8×	332 0.7×	93 0.3×	171 0.6×	195	3.9k
Mingli Song China	40	3.9k 1.5×	1.5k 0.7×	540 1.2×	69 0.2×	187 0.6×	237	5.5k

Countries citing papers authored by Dong Huang

Since Specialization

Citations

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

Fields of papers citing papers by Dong Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Huang. A scholar is included among the top collaborators of Dong Huang 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 Dong Huang. Dong Huang 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

Yang, Chenmin, et al.. (2025). Towards multi-fusion graph neural network for single-cell RNA sequence clustering. Neurocomputing. 631. 129764–129764.

Zhang, Guangyu, et al.. (2025). Scalable tri-factorization guided multi-view subspace clustering. Knowledge-Based Systems. 312. 113119–113119. 4 indexed citations

Zhang, Guangyu, et al.. (2025). Structure-preserving contrastive graph clustering with dual-channel label alignment. Neural Networks. 193. 107954–107954.

Liu, Wanping, et al.. (2024). CFOA: Exploring transferable adversarial examples by content feature optimization with attention guidance. Computers & Security. 142. 103882–103882. 2 indexed citations

Huang, Dong, Xiucai Ye, & Tetsuya Sakurai. (2024). Multi-party collaborative drug discovery via federated learning. Computers in Biology and Medicine. 171. 108181–108181. 5 indexed citations

Si, Xiaopeng, et al.. (2024). Temporal aware Mixed Attention-based Convolution and Transformer Network for cross-subject EEG emotion recognition. Computers in Biology and Medicine. 181. 108973–108973. 11 indexed citations

Ye, Xiucai, et al.. (2024). Robust feature learning using contractive autoencoders for multi-omics clustering in cancer subtyping. Methods. 233. 52–60. 1 indexed citations

Huang, Dong, et al.. (2024). DeepCluE: Enhanced Deep Clustering via Multi-Layer Ensembles in Neural Networks. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(2). 1582–1594. 9 indexed citations

Zhang, Guangyu, Dong Huang, & Chang‐Dong Wang. (2024). Tensorized Incomplete Multi-view Kernel Subspace Clustering. Neural Networks. 179. 106529–106529. 6 indexed citations

10.

Lai, Qiang, et al.. (2024). Automatic Detection of Rice Blast Fungus Spores by Deep Learning-Based Object Detection: Models, Benchmarks and Quantitative Analysis. Agriculture. 14(2). 290–290. 5 indexed citations

11.

Huang, Dong, et al.. (2024). GLAC-GCN: Global and Local Topology-Aware Contrastive Graph Clustering Network. IEEE Transactions on Artificial Intelligence. 6(6). 1448–1459. 7 indexed citations

12.

Huang, Dong, et al.. (2024). Deep Clustering With Hybrid-Grained Contrastive and Discriminative Learning. IEEE Transactions on Circuits and Systems for Video Technology. 34(10). 9472–9483. 13 indexed citations

13.

Huang, Dong, et al.. (2023). Strongly augmented contrastive clustering. Pattern Recognition. 139. 109470–109470. 55 indexed citations

14.

Ma, Yuanji, Xin Zhong, Hao Lu, et al.. (2023). Treatment strategy for spontaneous coronary artery dissection based on anatomical characteristics. European journal of medical research. 28(1). 29–29. 3 indexed citations

15.

Chen, Man-Sheng, Jiaqi Lin, Xianglong Li, et al.. (2022). Representation Learning in Multi-view Clustering: A Literature Review. Data Science and Engineering. 7(3). 225–241. 86 indexed citations

16.

Huang, Dong, et al.. (2022). Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2848–2862. 87 indexed citations

17.

Li, Peizhen, Ling Huang, Chang‐Dong Wang, Jianhuang Lai, & Dong Huang. (2020). Community Detection by Motif-Aware Label Propagation. ACM Transactions on Knowledge Discovery from Data. 14(2). 1–19. 38 indexed citations

18.

Chen, Man-Sheng, Ling Huang, Chang‐Dong Wang, Dong Huang, & Philip S. Yu. (2020). Multiview Subspace Clustering With Grouping Effect. IEEE Transactions on Cybernetics. 52(8). 7655–7668. 41 indexed citations

19.

Wang, Chang‐Dong, et al.. (2020). Node Pair Information Preserving Network Embedding Based on Adversarial Networks. IEEE Transactions on Cybernetics. 52(7). 5908–5922. 11 indexed citations

20.

Huang, Dong, Chang‐Dong Wang, & Jianhuang Lai. (2017). Locally Weighted Ensemble Clustering. IEEE Transactions on Cybernetics. 48(5). 1460–1473. 259 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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