Rui Feng

831 total citations
76 papers, 490 citations indexed

About

Rui Feng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Rui Feng has authored 76 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 12 papers in Global and Planetary Change. Recurrent topics in Rui Feng's work include Domain Adaptation and Few-Shot Learning (11 papers), Advanced Neural Network Applications (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Rui Feng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (11 papers), Advanced Neural Network Applications (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Rui Feng collaborates with scholars based in China, United States and Hong Kong. Rui Feng's co-authors include Wenying Yu, Yushu Zhang, Suting Chen, Yuejie Zhang, Shanshan Du, Chuang Zhang, Yanyan Zhang, Yang Yang, Huayu Li and Yueting Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Rui Feng

69 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rui Feng China	13	126	111	67	60	50	76	490
Francis wyffels Belgium	17	346 2.7×	76 0.7×	61 0.9×	68 1.1×	20 0.4×	80	883
Fei Jiang China	17	196 1.6×	192 1.7×	18 0.3×	82 1.4×	30 0.6×	72	891
Hiroshi Ito Japan	11	50 0.4×	79 0.7×	70 1.0×	30 0.5×	26 0.5×	72	400
Tetsuya Shimamura Japan	15	470 3.7×	477 4.3×	65 1.0×	48 0.8×	80 1.6×	247	1.6k
Paul A. Bromiley United Kingdom	13	97 0.8×	189 1.7×	30 0.4×	10 0.2×	59 1.2×	45	709
José Ismael De la Rosa Vargas Mexico	13	96 0.8×	236 2.1×	19 0.3×	68 1.1×	27 0.5×	81	592
In Seop Na South Korea	13	83 0.7×	347 3.1×	14 0.2×	105 1.8×	68 1.4×	83	667
Xijian Fan China	16	89 0.7×	287 2.6×	78 1.2×	224 3.7×	114 2.3×	39	831
Ana Georgina Flesia Argentina	12	48 0.4×	139 1.3×	18 0.3×	14 0.2×	20 0.4×	43	382
Jie Deng China	11	86 0.7×	116 1.0×	10 0.1×	120 2.0×	72 1.4×	35	610

Countries citing papers authored by Rui Feng

Since Specialization

Citations

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

Fields of papers citing papers by Rui Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Feng

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

Huang, Xinyue, Weixing Zhao, Rui Feng, et al.. (2025). Linking gut microbiome profiles and white matter integrity to social behavior in young autistic children: from the perspective of individual variation. Science Bulletin. 70(12). 1927–1931.

Zheng, Bolun, et al.. (2025). DCT-DiffPose: A Lightweight Diffusion Model With Multi-Hypothesis for 3D Human Pose Estimation. IEEE Access. 13. 73319–73331.

Feng, Rui, Qingguo Du, Hong Chen, & Ning Jiang. (2025). Respiratory Signal Extraction In Fiber-optic Sensing Mattresses Using Empirical Wavelet Transform. 165–169.

Chen, Jinhua, et al.. (2024). Automated six-degree-of-freedom Stewart platform for heavy floor tiling. Automation in Construction. 170. 105932–105932. 2 indexed citations

Feng, Rui, H. J. Yang, Zelin Chen, et al.. (2024). Spatiotemporal Microstate Dynamics of Spike-Free Scalp EEG Offer a Potential Biomarker for Refractory Temporal Lobe Epilepsy. IEEE Transactions on Medical Imaging. 44(1). 574–587. 1 indexed citations

Xiang, Deliang, et al.. (2024). An optical to SAR transformation method for SAR image augmentation. IET conference proceedings.. 2023(47). 1413–1419.

Feng, Rui, et al.. (2024). MHTAPred-SS: A Highly Targeted Autoencoder-Driven Deep Multi-Task Learning Framework for Accurate Protein Secondary Structure Prediction. International Journal of Molecular Sciences. 25(24). 13444–13444. 1 indexed citations

Li, Shujin, et al.. (2024). Design of Signal Separation Device Based on FFT Algorithm. 1980–1983. 1 indexed citations

Qi, Jing, et al.. (2024). DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10413–10421. 4 indexed citations

10.

Feng, Rui, et al.. (2023). Detecting depression tendency based on deep learning and multi-sources data. Biomedical Signal Processing and Control. 86. 105226–105226. 3 indexed citations

11.

Li, Fali, Shu Zhang, Lin Jiang, et al.. (2023). Recognition of autism spectrum disorder in children based on electroencephalogram network topology. Cognitive Neurodynamics. 18(3). 1033–1045. 5 indexed citations

12.

Ni, Li, et al.. (2023). Retrieval and validation of the dawn-dusk land surface temperature from FY-3E MERSI-LL. International Journal of Remote Sensing. 45(19-20). 7452–7469. 3 indexed citations

13.

Huang, Xinyue, Weixing Zhao, Rui Feng, et al.. (2023). Developmental prediction modeling based on diffusion tensor imaging uncovering age-dependent heterogeneity in early childhood autistic brain. Molecular Autism. 14(1). 41–41. 8 indexed citations

14.

Zhang, Yangsong, Shu Zhang, Baodan Chen, et al.. (2022). Predicting the Symptom Severity in Autism Spectrum Disorder Based on EEG Metrics. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1898–1907. 14 indexed citations

15.

Feng, Rui, et al.. (2022). SelfNet: A semi-supervised local Fisher discriminant network for few-shot learning. Neurocomputing. 512. 352–362. 7 indexed citations

16.

He, Changchun, Jesús M. Cortés, Xiaodong Kang, et al.. (2021). Individual‐based morphological brain network organization and its association with autistic symptoms in young children with autism spectrum disorder. Human Brain Mapping. 42(10). 3282–3294. 23 indexed citations

17.

Chen, Suting, et al.. (2021). High‐Resolution Remote Sensing Image Classification with RmRMR‐Enhanced Bag of Visual Words. Computational Intelligence and Neuroscience. 2021(1). 7589481–7589481. 7 indexed citations

18.

Su, Xuan, et al.. (2020). The complete mitochondrial genome of the storage mite pest Tyrophagus fanetzhangorum (Acari: Acaridae). Systematic and Applied Acarology. 25(9). 1693–1701. 4 indexed citations

19.

Jiang, Hong, Lin Wang, Wang Xl, et al.. (2013). [Comparison of skin sympathetic reaction in patients with generalized anxiety disorder and with major depression disorder].. PubMed. 42(2). 192–6. 4 indexed citations

20.

Liang, Tao, et al.. (2012). [Impacts of drought stress on the growth and development and grain yield of spring maize in Northeast China].. PubMed. 23(11). 3021–6. 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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