Dongyu She

1.2k total citations
16 papers, 820 citations indexed

About

Dongyu She is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Dongyu She has authored 16 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Dongyu She's work include Image Retrieval and Classification Techniques (8 papers), Multimodal Machine Learning Applications (8 papers) and Sentiment Analysis and Opinion Mining (6 papers). Dongyu She is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), Multimodal Machine Learning Applications (8 papers) and Sentiment Analysis and Opinion Mining (6 papers). Dongyu She collaborates with scholars based in China, United Kingdom and United States. Dongyu She's co-authors include Jufeng Yang, Ming Sun, Yu‐Kun Lai, Ming‐Ming Cheng, Paul L. Rosin, Liang Wang, Ming–Hsuan Yang, Kun Xu, Sicheng Zhao and Jie Liang and has published in prestigious journals such as IEEE Transactions on Multimedia, ACM Transactions on Multimedia Computing Communications and Applications and International Journal of Automation and Computing.

In The Last Decade

Dongyu She

16 papers receiving 801 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dongyu She China	13	537	376	151	94	75	16	820
Gil Levi Israel	5	873 1.6×	171 0.5×	172 1.1×	45 0.5×	8 0.1×	9	1.1k
Tianrong Rao Australia	8	283 0.5×	183 0.5×	106 0.7×	38 0.4×	61 0.8×	19	485
Jingting Li China	12	302 0.6×	132 0.4×	212 1.4×	41 0.4×	36 0.5×	35	455
Dae Hoe Kim South Korea	10	319 0.6×	220 0.6×	257 1.7×	53 0.6×	36 0.5×	31	553
Mohan Karnati India	11	324 0.6×	107 0.3×	308 2.0×	125 1.3×	28 0.4×	27	609
Chi Nhan Duong United States	13	360 0.7×	136 0.4×	40 0.3×	24 0.3×	7 0.1×	25	477
Luojun Lin China	11	377 0.7×	174 0.5×	105 0.7×	43 0.5×	4 0.1×	27	490
Kuan–Chuan Peng United States	11	325 0.6×	204 0.5×	48 0.3×	73 0.8×	23 0.3×	21	446
Zibo Meng United States	13	856 1.6×	131 0.3×	697 4.6×	100 1.1×	60 0.8×	35	1.1k
P. Kakumanu United States	8	609 1.1×	71 0.2×	47 0.3×	61 0.6×	9 0.1×	11	830

Countries citing papers authored by Dongyu She

Since Specialization

Citations

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

Fields of papers citing papers by Dongyu She

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongyu She

This figure shows the co-authorship network connecting the top 25 collaborators of Dongyu She. A scholar is included among the top collaborators of Dongyu She 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 Dongyu She. Dongyu She 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:

16 of 16 papers shown

She, Dongyu & Kun Xu. (2022). An Image-to-video Model for Real-Time Video Enhancement. Proceedings of the 30th ACM International Conference on Multimedia. 1837–1846. 3 indexed citations

She, Dongyu & Kun Xu. (2021). Contrastive Self-supervised Representation Learning Using Synthetic Data. International Journal of Automation and Computing. 18(4). 556–567. 5 indexed citations

She, Dongyu, et al.. (2021). Hierarchical Layout-Aware Graph Convolutional Network for Unified Aesthetics Assessment. ORCA Online Research @Cardiff (Cardiff University). 8471–8480. 61 indexed citations

She, Dongyu, et al.. (2020). Adaptive Deep Metric Learning for Affective Image Retrieval and Classification. IEEE Transactions on Multimedia. 23. 1640–1653. 40 indexed citations

Zhao, Sicheng, et al.. (2020). APSE: Attention-Aware Polarity-Sensitive Embedding for Emotion-Based Image Retrieval. IEEE Transactions on Multimedia. 23. 4469–4482. 13 indexed citations

She, Dongyu, Jufeng Yang, Ming‐Ming Cheng, et al.. (2019). WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection. IEEE Transactions on Multimedia. 22(5). 1358–1371. 74 indexed citations

She, Dongyu, Ming Sun, & Jufeng Yang. (2019). Learning Discriminative Sentiment Representation from Strongly- and Weakly Supervised CNNs. ACM Transactions on Multimedia Computing Communications and Applications. 15(3s). 1–19. 9 indexed citations

She, Dongyu, et al.. (2019). Zero-Shot Emotion Recognition via Affective Structural Embedding. 1151–1160. 44 indexed citations

She, Dongyu, et al.. (2019). Attention-Aware Polarity Sensitive Embedding for Affective Image Retrieval. 1140–1150. 24 indexed citations

10.

Wu, Xiaoping, Wen Ni, Jie Liang, et al.. (2019). Joint Acne Image Grading and Counting via Label Distribution Learning. 10641–10650. 58 indexed citations

11.

Yang, Jufeng, Dongyu She, Ming Sun, et al.. (2018). Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions. IEEE Transactions on Multimedia. 20(9). 2513–2525. 134 indexed citations

12.

Yang, Jufeng, Dongyu She, Yu‐Kun Lai, Paul L. Rosin, & Ming–Hsuan Yang. (2018). Weakly Supervised Coupled Networks for Visual Sentiment Analysis. ORCA Online Research @Cardiff (Cardiff University). 7584–7592. 110 indexed citations

13.

Yang, Jufeng, Le Zhang, Xiaoxiao Sun, et al.. (2018). Historical Context-based Style Classification of Painting Images via Label Distribution Learning. 1154–1162. 15 indexed citations

14.

Zhang, Yuxiang, Jiamei Fu, Dongyu She, et al.. (2018). Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network. 4595–4601. 42 indexed citations

15.

Yang, Jufeng, et al.. (2018). Retrieving and Classifying Affective Images via Deep Metric Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 54 indexed citations

16.

Yang, Jufeng, Dongyu She, & Ming Sun. (2017). Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network. 3266–3272. 134 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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