Sujuan Hou

1.4k total citations · 1 hit paper
37 papers, 887 citations indexed

About

Sujuan Hou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Sujuan Hou has authored 37 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Sujuan Hou's work include Advanced Image and Video Retrieval Techniques (18 papers), Image Retrieval and Classification Techniques (9 papers) and Multimodal Machine Learning Applications (6 papers). Sujuan Hou is often cited by papers focused on Advanced Image and Video Retrieval Techniques (18 papers), Image Retrieval and Classification Techniques (9 papers) and Multimodal Machine Learning Applications (6 papers). Sujuan Hou collaborates with scholars based in China, Australia and United States. Sujuan Hou's co-authors include Weikuan Jia, Jian Lian, Meili Sun, Yuanjie Zheng, Shangbo Zhou, Dean Zhao, Shuqiang Jiang, Weiqing Min, Wenjie Liu and Jing Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Sujuan Hou

36 papers receiving 853 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.

Feature dimensionality reduction: a review

2022 409 citations Weikuan Jia, Jian Lian et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sujuan Hou China	14	278	242	75	71	68	37	887
Shaveta Dargan India	8	406 1.5×	306 1.3×	89 1.2×	70 1.0×	63 0.9×	10	1.2k
Kirit Modi India	7	252 0.9×	263 1.1×	56 0.7×	63 0.9×	40 0.6×	24	1.1k
En Fan China	11	236 0.8×	271 1.1×	63 0.8×	51 0.7×	59 0.9×	44	974
Aniati Murni Arymurthy Indonesia	17	398 1.4×	327 1.4×	94 1.3×	56 0.8×	56 0.8×	125	1.2k
Maruthi Rohit Ayyagari United States	7	178 0.6×	326 1.3×	63 0.8×	67 0.9×	64 0.9×	10	940
Chirag Patel India	11	370 1.3×	255 1.1×	74 1.0×	120 1.7×	45 0.7×	37	961
Bhushankumar Nemade India	10	163 0.6×	195 0.8×	61 0.8×	55 0.8×	45 0.7×	27	808
Manar Ahmed Hamza Saudi Arabia	16	199 0.7×	333 1.4×	53 0.7×	86 1.2×	63 0.9×	140	998
Jwan Najeeb Saeed Iraq	12	231 0.8×	331 1.4×	54 0.7×	81 1.1×	27 0.4×	17	855

Countries citing papers authored by Sujuan Hou

Since Specialization

Citations

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

Fields of papers citing papers by Sujuan Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujuan Hou

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

1.

Zheng, Yuanjie, et al.. (2024). RD-FGM: A novel model for high-quality and diverse food image generation and ingredient classification. Expert Systems with Applications. 255. 124720–124720. 1 indexed citations

2.

Min, Weiqing, et al.. (2024). Ingredient-Guided RGB-D Fusion Network for Nutritional Assessment. 3(1). 156–166. 1 indexed citations

3.

Zheng, Yuanjie, et al.. (2024). Cross-View Representation Learning: A Superior ContextIB Method for Logo Classification. IEEE Signal Processing Letters. 31. 536–540. 1 indexed citations

4.

Hou, Sujuan, et al.. (2023). Deep Learning for Logo Detection: A Survey. ACM Transactions on Multimedia Computing Communications and Applications. 20(3). 1–23. 11 indexed citations

5.

Hou, Sujuan, et al.. (2023). Long-Range Dependence Involutional Network for Logo Detection. Entropy. 25(1). 174–174. 8 indexed citations

6.

Hou, Sujuan, et al.. (2023). Few‐shot logo detection. IET Computer Vision. 17(5). 586–598. 2 indexed citations

7.

Hou, Sujuan, et al.. (2023). Lightweight Seizure Detection Based on Multi-Scale Channel Attention. International Journal of Neural Systems. 33(12). 2350061–2350061. 9 indexed citations

8.

Zheng, Yuanjie, Tongtong Che, Sujuan Hou, et al.. (2022). Image Matting With Deep Gaussian Process. IEEE Transactions on Neural Networks and Learning Systems. 34(11). 8879–8893. 13 indexed citations

9.

Hou, Sujuan, et al.. (2021). RAFNet: RGB-D attention feature fusion network for indoor semantic segmentation. Displays. 70. 102082–102082. 21 indexed citations

10.

Hou, Sujuan, et al.. (2021). An adaptive representation algorithm for Multi-scale logo detection. Displays. 70. 102090–102090. 10 indexed citations

11.

Huang, Wenhui, Jason Gu, Peiyong Duan, Sujuan Hou, & Yuanjie Zheng. (2021). Exploiting Probabilistic Siamese Visual Tracking with a Conditional Variational Autoencoder. 14213–14219. 5 indexed citations

12.

Wang, Jing, Weiqing Min, Sujuan Hou, et al.. (2020). Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 6194–6201. 30 indexed citations

13.

Zheng, Yuanjie, et al.. (2019). MAMDA: Inferring microRNA-Disease associations with manifold alignment. Computers in Biology and Medicine. 110. 156–163. 7 indexed citations

14.

Zheng, Yuanjie, et al.. (2019). Prediction of Epitope-Associated TCR by Using Network Topological Similarity Based on Deepwalk. IEEE Access. 7. 151273–151281. 6 indexed citations

15.

Zheng, Yuanjie, Yanhui Ding, Sujuan Hou, et al.. (2018). A Generative Model for OCT Retinal Layer Segmentation by Groupwise Curve Alignment. IEEE Access. 6. 25130–25141. 14 indexed citations

16.

Lian, Jian, Sujuan Hou, Xiaodan Sui, Fangzhou Xu, & Yuanjie Zheng. (2018). Deblurring retinal optical coherence tomography via a convolutional neural network with anisotropic and double convolution layer. IET Computer Vision. 12(6). 900–907. 19 indexed citations

17.

Jiang, Yanyun, Yuanjie Zheng, Sujuan Hou, Yuchou Chang, & James C. Gee. (2017). Multimodal Image Alignment via Linear Mapping between Feature Modalities. Journal of Healthcare Engineering. 2017. 1–6. 13 indexed citations

18.

Hou, Sujuan, et al.. (2017). Deep Hierarchical Representation from Classifying Logo-405. Complexity. 2017. 1–12. 8 indexed citations

19.

Zheng, Yuanjie, Yu Wang, Wanzhen Jiao, et al.. (2017). Joint alignment of multispectral images via semidefinite programming. Biomedical Optics Express. 8(2). 890–890. 9 indexed citations

20.

Hou, Sujuan, et al.. (2015). Multi-label learning with label relevance in advertising video. Neurocomputing. 171. 932–948. 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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