Ruoxi Deng

624 total citations
12 papers, 237 citations indexed

About

Ruoxi Deng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Ruoxi Deng has authored 12 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Ruoxi Deng's work include Advanced Image and Video Retrieval Techniques (4 papers), Medical Image Segmentation Techniques (3 papers) and Video Surveillance and Tracking Methods (2 papers). Ruoxi Deng is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Medical Image Segmentation Techniques (3 papers) and Video Surveillance and Tracking Methods (2 papers). Ruoxi Deng collaborates with scholars based in China, Singapore and Japan. Ruoxi Deng's co-authors include Huibing Wang, Hanli Zhao, Huiling Chen, Jinjia Peng, Xianping Fu, Lei Xiao, Jie Xing, Zeyu Ma, Shan Lu and Liguo Qin and has published in prestigious journals such as IEEE Access, Neurocomputing and Colloids and Surfaces A Physicochemical and Engineering Aspects.

In The Last Decade

Ruoxi Deng

10 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruoxi Deng China	6	138	73	35	21	20	12	237
Yudong Liang China	6	197 1.4×	43 0.6×	75 2.1×	15 0.7×	39 1.9×	18	269
Xin Zhong United States	10	165 1.2×	51 0.7×	23 0.7×	16 0.8×	36 1.8×	49	308
Yicheng He United States	8	181 1.3×	132 1.8×	28 0.8×	42 2.0×	19 0.9×	13	310
Zhize Wu China	13	172 1.2×	44 0.6×	56 1.6×	23 1.1×	9 0.5×	34	281
M. Radha India	3	180 1.3×	45 0.6×	52 1.5×	17 0.8×	28 1.4×	4	284
Ying Tong China	9	93 0.7×	29 0.4×	48 1.4×	36 1.7×	20 1.0×	37	267
Haotian Liu China	9	254 1.8×	84 1.2×	9 0.3×	12 0.6×	40 2.0×	29	411
Ajoy Mondal India	11	203 1.5×	56 0.8×	48 1.4×	8 0.4×	15 0.8×	26	258
Weiguang Sheng China	11	68 0.5×	29 0.4×	27 0.8×	12 0.6×	34 1.7×	40	294
Md Amirul Islam Canada	7	214 1.6×	75 1.0×	55 1.6×	10 0.5×	30 1.5×	15	289

Countries citing papers authored by Ruoxi Deng

Since Specialization

Citations

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

Fields of papers citing papers by Ruoxi Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoxi Deng

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

All Works

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12 of 12 papers shown

1.

Chen, Zhao-Min, Quan Cui, Xiaoqin Zhang, et al.. (2025). Towards Gradient Equalization and Feature Diversification for Long-Tailed Multi-Label Image Recognition. IEEE Transactions on Multimedia. 27. 3489–3500.

2.

Liu, Shengjun, et al.. (2025). Physics-guided deep learning framework with attention for image denoising. The Visual Computer. 41(9). 6671–6685. 1 indexed citations

3.

Deng, Ruoxi, et al.. (2025). Hierarchical style transfer for enhancing feature diversity in long-tailed visual recognition. Cluster Computing. 28(5). 1 indexed citations

4.

Huang, Yaping, et al.. (2024). MuGE: Multiple Granularity Edge Detection. 25952–25962. 6 indexed citations

5.

Chen, Zhaomin, Xin Jin, Xiaoqin Zhang, et al.. (2023). DIM: long-tailed object detection and instance segmentation via dynamic instance memory. Machine Learning Science and Technology. 4(3). 35047–35047.

6.

Deng, Ruoxi, Zhaomin Chen, Huiling Chen, & Jie Hu. (2023). Learning to refine object boundaries. Neurocomputing. 557. 126742–126742. 2 indexed citations

7.

Xing, Jie, Hanli Zhao, Huiling Chen, Ruoxi Deng, & Lei Xiao. (2022). Boosting Whale Optimizer with Quasi-Oppositional Learning and Gaussian Barebone for Feature Selection and COVID-19 Image Segmentation. Journal of Bionic Engineering. 20(2). 797–818. 66 indexed citations

8.

Ma, Zeyu, Jianbo Liu, Xiaodong Zhang, et al.. (2022). Flexible surfaces prepared through direct ink writing with drag reduction and antifouling. Colloids and Surfaces A Physicochemical and Engineering Aspects. 655. 130233–130233. 26 indexed citations

9.

Wang, Huibing, et al.. (2022). Towards Adaptive Consensus Graph: Multi-View Clustering via Graph Collaboration. IEEE Transactions on Multimedia. 25. 6629–6641. 72 indexed citations

10.

Deng, Ruoxi, et al.. (2021). Learning to Decode Contextual Information for Efficient Contour Detection. 4435–4443. 10 indexed citations

11.

Deng, Ruoxi, et al.. (2020). Deep Structural Contour Detection. 304–312. 48 indexed citations

12.

Deng, Ruoxi, et al.. (2019). Relative Depth Order Estimation Using Multi-Scale Densely Connected Convolutional Networks. IEEE Access. 7. 38630–38643. 5 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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