Yiqiao Mao

445 total citations · 1 hit paper
16 papers, 294 citations indexed

About

Yiqiao Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Urban Studies. According to data from OpenAlex, Yiqiao Mao has authored 16 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 2 papers in Urban Studies. Recurrent topics in Yiqiao Mao's work include Domain Adaptation and Few-Shot Learning (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Video Analysis and Summarization (4 papers). Yiqiao Mao is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Video Analysis and Summarization (4 papers). Yiqiao Mao collaborates with scholars based in China, United Kingdom and Macao. Yiqiao Mao's co-authors include Xiaoqiang Yan, Yangdong Ye, Hui Yu, Shizhe Hu, Mingyuan Li, Fei‐Yue Wang, Xuguang Zhang, Liyuan Zhang, Xiuxia Yuan and Shaohua Hu and has published in prestigious journals such as IEEE Access, Pattern Recognition and Information Sciences.

In The Last Decade

Yiqiao Mao

11 papers receiving 291 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.

Deep multi-view learning methods: A review

2021 199 citations Xiaoqiang Yan, Shizhe Hu et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yiqiao Mao China	6	155	152	26	24	18	16	294
Swarnendu Ghosh India	9	86 0.6×	121 0.8×	27 1.0×	18 0.8×	20 1.1×	17	235
Timur Garipov Russia	4	260 1.7×	179 1.2×	17 0.7×	22 0.9×	23 1.3×	9	391
Zhi Gao China	9	128 0.8×	158 1.0×	32 1.2×	17 0.7×	18 1.0×	18	286
Nanyang Ye China	11	149 1.0×	147 1.0×	21 0.8×	16 0.7×	12 0.7×	35	292
Suranjana Samanta India	6	93 0.6×	117 0.8×	38 1.5×	35 1.5×	34 1.9×	22	284
Huidong Liu China	9	164 1.1×	176 1.2×	24 0.9×	21 0.9×	42 2.3×	21	312
Linus Ericsson United Kingdom	2	102 0.7×	59 0.4×	20 0.8×	25 1.0×	21 1.2×	3	221
Muhammad Uzair Khattak United Arab Emirates	5	287 1.9×	298 2.0×	17 0.7×	19 0.8×	30 1.7×	10	468

Countries citing papers authored by Yiqiao Mao

Since Specialization

Citations

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

Fields of papers citing papers by Yiqiao Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiqiao Mao

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

All Works

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16 of 16 papers shown

1.

Mao, Yiqiao, et al.. (2025). ProNet: A contrastive propagation network for multimodal lifelong clustering. Knowledge-Based Systems. 317. 113349–113349.

2.

Yan, Xiaoqiang, et al.. (2024). Differentiable self-supervised clustering with intrinsic interpretability. Neural Networks. 179. 106542–106542.

3.

Mao, Yiqiao, et al.. (2024). Memory-aware continual learning with multi-modal social media streams for unsupervised disaster classification. Advanced Engineering Informatics. 62. 102654–102654. 3 indexed citations

4.

Mao, Yiqiao, Xiaoqiang Yan, Shizhe Hu, & Yangdong Ye. (2024). Contrastive cross-modal clustering with twin network. Pattern Recognition. 155. 110645–110645. 1 indexed citations

5.

Mao, Yiqiao, et al.. (2024). Multimodal Nonredundant Clustering via Sufficiency Complementary Mining. IEEE Transactions on Industrial Informatics. 21(2). 1872–1881.

6.

Yan, Xiaoqiang, et al.. (2024). Live and Learn: Continual Action Clustering with Incremental Views. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16264–16271. 4 indexed citations

7.

Yan, Xiaoqiang, Yiqiao Mao, Yangdong Ye, & Hui Yu. (2024). Incremental Multiview Clustering With Continual Information Bottleneck Method. IEEE Transactions on Systems Man and Cybernetics Systems. 55(1). 295–306.

8.

Zhang, Liyuan, Xiuxia Yuan, Xue Li, et al.. (2024). Gut microbial diversity moderates polygenic risk of schizophrenia. Frontiers in Psychiatry. 15. 1275719–1275719. 2 indexed citations

9.

Mao, Yiqiao, et al.. (2023). A Bottleneck Network with Light Attention for Multimodal Clustering. Knowledge-Based Systems. 280. 111037–111037.

10.

Yan, Xiaoqiang, Yiqiao Mao, Yangdong Ye, & Hui Yu. (2023). Cross-Modal Clustering With Deep Correlated Information Bottleneck Method. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 13508–13522. 16 indexed citations

11.

Mao, Yiqiao, et al.. (2023). ConGMC: Consistency-Guided Multimodal Clustering via Mutual Information Maximin. IEEE Transactions on Multimedia. 26. 5131–5146. 2 indexed citations

12.

Yan, Xiaoqiang, Yiqiao Mao, Mingyuan Li, Yangdong Ye, & Hui Yu. (2023). Multitask Image Clustering via Deep Information Bottleneck. IEEE Transactions on Cybernetics. 54(3). 1868–1881. 10 indexed citations

13.

Yan, Xiaoqiang, Yiqiao Mao, Yangdong Ye, Hui Yu, & Fei‐Yue Wang. (2022). Explanation guided cross-modal social image clustering. Information Sciences. 593. 1–16. 5 indexed citations

14.

Yan, Xiaoqiang, Shizhe Hu, Yiqiao Mao, Yangdong Ye, & Hui Yu. (2021). Deep multi-view learning methods: A review. Neurocomputing. 448. 106–129. 199 indexed citations breakdown →

15.

Mao, Yiqiao, et al.. (2021). Deep Mutual Information Maximin for Cross-Modal Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 35(10). 8893–8901. 42 indexed citations

16.

Yan, Xiaoqiang, Yangdong Ye, Yiqiao Mao, & Hui Yu. (2019). Shared-Private Information Bottleneck Method for Cross-Modal Clustering. IEEE Access. 7. 36045–36056. 10 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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