Jie Feng

3.5k total citations · 3 hit papers
124 papers, 2.7k citations indexed

About

Jie Feng is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Jie Feng has authored 124 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Media Technology, 58 papers in Computer Vision and Pattern Recognition and 38 papers in Atmospheric Science. Recurrent topics in Jie Feng's work include Remote-Sensing Image Classification (69 papers), Remote Sensing and Land Use (37 papers) and Advanced Image Fusion Techniques (29 papers). Jie Feng is often cited by papers focused on Remote-Sensing Image Classification (69 papers), Remote Sensing and Land Use (37 papers) and Advanced Image Fusion Techniques (29 papers). Jie Feng collaborates with scholars based in China, United Kingdom and United States. Jie Feng's co-authors include Licheng Jiao, Xiangrong Zhang, Ronghua Shang, Xianghai Cao, Jiantong Chen, Tao Sun, Xu Tang, Fang Liu, Tao Sun and Lin Wang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Jie Feng

113 papers receiving 2.6k 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.

Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification

2024 62 citations Jie Feng, Ronghua Shang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
S⁴DL: Shift-Sensitive Spatial–Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation

2025 20 citations Jie Feng, Tianshu Zhang et al. IEEE Transactions on Neural Networks and Learning Systems profile →
Adaptive Homophily Clustering: Structure Homophily Graph Learning With Adaptive Filter for Hyperspectral Image

2025 16 citations Yao Ding, Jie Feng et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jie Feng China	30	1.7k	974	929	414	292	124	2.7k
Weiying Xie China	32	2.2k 1.3×	1.1k 1.1×	775 0.8×	538 1.3×	395 1.4×	113	2.9k
Ping Zhong China	24	1.9k 1.1×	1.0k 1.1×	907 1.0×	478 1.2×	328 1.1×	82	2.7k
Fulin Luo China	22	1.5k 0.9×	855 0.9×	760 0.8×	334 0.8×	158 0.5×	84	2.3k
Shaohui Mei China	31	2.5k 1.5×	1.9k 1.9×	986 1.1×	415 1.0×	409 1.4×	181	3.8k
Feng Gao China	26	1.4k 0.8×	1.1k 1.2×	704 0.8×	364 0.9×	428 1.5×	194	3.0k
Ying Qu China	20	1.3k 0.8×	589 0.6×	549 0.6×	315 0.8×	150 0.5×	104	2.1k
Zilong Zhong Canada	11	1.8k 1.0×	736 0.8×	1.2k 1.3×	245 0.6×	156 0.5×	18	2.6k
Mingyang Zhang China	27	1.1k 0.6×	515 0.5×	682 0.7×	512 1.2×	142 0.5×	118	2.0k
Le Sun China	27	2.1k 1.2×	978 1.0×	1.1k 1.2×	238 0.6×	118 0.4×	117	2.6k

Countries citing papers authored by Jie Feng

Since Specialization

Citations

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

Fields of papers citing papers by Jie Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Feng

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

Feng, Jie, Tianshu Zhang, Junpeng Zhang, et al.. (2025). S⁴DL: Shift-Sensitive Spatial–Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 16894–16908. 20 indexed citations breakdown →

Li, Min, et al.. (2025). A robust low-pass filtering graph diffusion clustering framework for hyperspectral images. Knowledge-Based Systems. 324. 113782–113782.

Shang, Ronghua, et al.. (2025). Hyperspectral image classification based on multi-scale equivariant feature extraction and geometric equivariant self-attention. Expert Systems with Applications. 300. 129909–129909. 1 indexed citations

Shang, Ronghua, Mingwei Hu, Lei Liu, et al.. (2025). Knowledge Distillation Based on Adaptive Learning and Channel Amplification Features for PolSAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16.

Ming, Yang, et al.. (2025). Puncturable Registered ABE for Vehicular Social Networks: Enhancing Security and Practicality. IEEE Transactions on Dependable and Secure Computing. 22(6). 5998–6011.

Li, Hongfei, et al.. (2024). Spectral–Spatial Graph Convolutional Network with Dynamic-Synchronized Multiscale Features for Few-Shot Hyperspectral Image Classification. Remote Sensing. 16(5). 895–895. 8 indexed citations

Feng, Jie, Hao Huang, Junpeng Zhang, et al.. (2024). SA-MixNet: Structure-Aware Mixup and Invariance Learning for Scribble-Supervised Road Extraction in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 2 indexed citations

Feng, Jie, et al.. (2024). Multi-agent deep reinforcement learning for hyperspectral band selection with hybrid teacher guide. Knowledge-Based Systems. 299. 112044–112044. 4 indexed citations

Shang, Ronghua, et al.. (2024). SAR Image Segmentation Based on Complicated Region-Sensitive Adaptive Superpixel Generation and Hybrid Edge Correction. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 5 indexed citations

10.

Feng, Jie, et al.. (2023). Synergistic effects and its influencing factors during co-processing of coal and biomass in a wire-mesh reactor. Journal of the Energy Institute. 108. 101261–101261. 4 indexed citations

11.

Feng, Jie, et al.. (2023). Multi-Complementary Generative Adversarial Networks With Contrastive Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–18. 34 indexed citations

12.

Shang, Ronghua, et al.. (2023). Ellipse IoU Loss: Better Learning for Rotated Bounding Box Regression. IEEE Geoscience and Remote Sensing Letters. 21. 1–5.

13.

Shang, Ronghua, Songling Zhu, Weitong Zhang, et al.. (2022). Hyperspectral Image Classification Based on Pyramid Coordinate Attention and Weighted Self-Distillation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 17 indexed citations

14.

Shang, Ronghua, et al.. (2022). Simplified Nonlocal Network Based on Adaptive Projection Attention Method for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 7 indexed citations

15.

Feng, Jie, et al.. (2022). Multiobjective Guided Divide-and-Conquer Network for Hyperspectral Pansharpening. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 16 indexed citations

16.

Feng, Jie, Ning Zhao, Ronghua Shang, Xiangrong Zhang, & Licheng Jiao. (2022). Self-Supervised Divide-and-Conquer Generative Adversarial Network for Classification of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 42 indexed citations

17.

Shang, Ronghua, et al.. (2021). SAR Image Segmentation Based on Constrained Smoothing and Hierarchical Label Correction. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 27 indexed citations

18.

Feng, Jie, Di Li, Jing Gu, et al.. (2021). Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–19. 73 indexed citations

19.

Feng, Jie, et al.. (2019). Hyperspectral Band Selection Based On Ternary Weight Convolutional Neural Network. 3804–3807. 14 indexed citations

20.

Feng, Jie, et al.. (2019). Classification of Hyperspectral Images Based on Multiclass Spatial–Spectral Generative Adversarial Networks. IEEE Transactions on Geoscience and Remote Sensing. 57(8). 5329–5343. 125 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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