Yining Feng

687 total citations
29 papers, 464 citations indexed

About

Yining Feng is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yining Feng has authored 29 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Media Technology, 13 papers in Atmospheric Science and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yining Feng's work include Remote-Sensing Image Classification (19 papers), Remote Sensing and Land Use (13 papers) and Advanced Image Fusion Techniques (11 papers). Yining Feng is often cited by papers focused on Remote-Sensing Image Classification (19 papers), Remote Sensing and Land Use (13 papers) and Advanced Image Fusion Techniques (11 papers). Yining Feng collaborates with scholars based in China. Yining Feng's co-authors include Xianghai Wang, Ruoxi Song, Chuanming Song, Lu Wang, Wei Cheng, Hanyu Zhang, Yi Luo, Weimin Wang, Haobo Zhang and Qi Chen and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and Frontiers in Plant Science.

In The Last Decade

Yining Feng

27 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yining Feng China	13	320	151	117	55	42	29	464
Yao Yang China	10	282 0.9×	189 1.3×	100 0.9×	45 0.8×	13 0.3×	15	410
Suvojit Manna India	3	327 1.0×	213 1.4×	108 0.9×	39 0.7×	49 1.2×	3	432
Ruoxi Song China	12	443 1.4×	173 1.1×	194 1.7×	54 1.0×	42 1.0×	31	546
Shuguo Jiang China	9	447 1.4×	195 1.3×	168 1.4×	110 2.0×	28 0.7×	11	570
Yunpeng Bai China	11	325 1.0×	130 0.9×	227 1.9×	82 1.5×	50 1.2×	25	455
Xiaodi Shang China	13	398 1.2×	200 1.3×	140 1.2×	66 1.2×	72 1.7×	40	528
William S. Hungate United States	3	235 0.7×	95 0.6×	130 1.1×	49 0.9×	31 0.7×	3	366
Jinyong Chen China	8	138 0.4×	45 0.3×	108 0.9×	93 1.7×	21 0.5×	21	326
Erting Pan China	9	356 1.1×	196 1.3×	158 1.4×	41 0.7×	17 0.4×	20	463

Countries citing papers authored by Yining Feng

Since Specialization

Citations

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

Fields of papers citing papers by Yining Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yining Feng

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

Cheng, Wei, Yining Feng, Yu Sun, & Xianghai Wang. (2025). Heterogeneous remote sensing image change detection network based on multi-scale feature modal transformation. Applied Soft Computing. 170. 112725–112725. 4 indexed citations

Wang, Xianghai, et al.. (2025). Pseudo-label generation guided semi-supervised network for hyperspectral image and LiDAR data classification. Expert Systems with Applications. 286. 128110–128110. 1 indexed citations

Guo, Qiaoqin, et al.. (2025). Microstructure and properties of CrN/CrCN coatings via multi-arc ion plating used for proton exchange membrane fuel cell bipolar plates. Ceramics International. 52(1). 1200–1212.

Feng, Yining, et al.. (2025). TSH-FCNet: Triple-source heterogeneous remote sensing images fusion classification network based on feature propagation and perception. Knowledge-Based Systems. 329. 114370–114370. 1 indexed citations

Feng, Yining, Lu Wang, Jiarui Jin, & Xianghai Wang. (2025). A semi-supervised multi-source remote sensing image classification network based on adaptive pseudo-label generation. Applied Soft Computing. 175. 113055–113055.

Feng, Yining, et al.. (2024). MsFNet: Multi-Scale Fusion Network Based on Dynamic Spectral Features for Multi-Temporal Hyperspectral Image Change Detection. Remote Sensing. 16(16). 3037–3037. 4 indexed citations

Feng, Yining, Jiarui Jin, Yin Yin, Chuanming Song, & Xianghai Wang. (2024). MCFT: Multimodal Contrastive Fusion Transformer for Classification of Hyperspectral Image and LiDAR Data. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 3 indexed citations

Cheng, Wei, et al.. (2024). DMF2Net: Dynamic multi-level feature fusion network for heterogeneous remote sensing image change detection. Knowledge-Based Systems. 300. 112159–112159. 15 indexed citations

Zhang, Wenya, Yining Feng, Lu Fang, Chuanming Song, & Xianghai Wang. (2023). Medical image segmentation model based on caputo fractional differential. Multimedia Tools and Applications. 83(21). 60565–60582. 2 indexed citations

10.

Zhang, Hanyu, et al.. (2023). TUnet-LBF: Retinal fundus image fine segmentation model based on transformer Unet network and LBF. Computers in Biology and Medicine. 159. 106937–106937. 27 indexed citations

11.

Wang, Xianghai, Wei Cheng, Yining Feng, & Ruoxi Song. (2023). TSCNet: Topological Structure Coupling Network for Change Detection of Heterogeneous Remote Sensing Images. Remote Sensing. 15(3). 621–621. 17 indexed citations

12.

Feng, Yining, et al.. (2023). S2EFT: Spectral-Spatial-Elevation Fusion Transformer for hyperspectral image and LiDAR classification. Knowledge-Based Systems. 283. 111190–111190. 31 indexed citations

13.

Feng, Yining, et al.. (2023). A Novel Semi-Supervised Long-Tailed Learning Framework With Spatial Neighborhood Information for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 20 indexed citations

14.

Han, Xin, Hao Rong, Yining Feng, et al.. (2023). Protoplast isolation and transient transformation system for Ginkgo biloba L.. Frontiers in Plant Science. 14. 1145754–1145754. 17 indexed citations

15.

Song, Ruoxi, et al.. (2022). Hyperspectral image change detection based on active convolutional neural network and spatial–spectral affinity graph learning. Applied Soft Computing. 125. 109130–109130. 13 indexed citations

16.

Feng, Yining, et al.. (2022). Effect of Si on the Glass-Forming Ability, Magnetic, and Mechanical Properties of FePC Glassy Alloy. Metallurgical and Materials Transactions A. 53(8). 3002–3011. 3 indexed citations

17.

Zhang, Haobo, et al.. (2021). Corrosion comparison of free and roller surfaces of Fe₇₀Si₈B₁₂Nb₁₀ amorphous ribbon. RSC Advances. 11(51). 32085–32094. 5 indexed citations

18.

Wang, Xianghai, et al.. (2021). Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data. Information Fusion. 82. 1–18. 109 indexed citations

19.

Zhang, Haobo, et al.. (2021). Hardness, magnetism and passivation of Fe-Si-B-Nb glasses. Journal of Non-Crystalline Solids. 564. 120830–120830. 16 indexed citations

20.

Shao, Yuan‐Hai, Yining Feng, Jing Chen, & Nai-Yang Deng. (2009). Density Clustering Based SVM and Its Application to Polyadenylation Signals. 1 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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