Feng Xu

10.8k total citations · 9 hit papers
372 papers, 7.8k citations indexed

About

Feng Xu is a scholar working on Aerospace Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Feng Xu has authored 372 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 205 papers in Aerospace Engineering, 61 papers in Biomedical Engineering and 53 papers in Computer Vision and Pattern Recognition. Recurrent topics in Feng Xu's work include Synthetic Aperture Radar (SAR) Applications and Techniques (114 papers), Advanced SAR Imaging Techniques (103 papers) and Geophysical Methods and Applications (32 papers). Feng Xu is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (114 papers), Advanced SAR Imaging Techniques (103 papers) and Geophysical Methods and Applications (32 papers). Feng Xu collaborates with scholars based in China, United States and Germany. Feng Xu's co-authors include Ya‐Qiu Jin, Haipeng Wang, Sizhe Chen, Zhimian Zhang, Qian Song, Alexander Ignatov, Yu Zhou, Wei Ao, Junping Zhang and James Z. Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Applied Physics Letters.

In The Last Decade

Feng Xu

333 papers receiving 7.6k citations

Hit Papers

5 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.

Target Classification Using the Deep Convolutional Networks for SAR Images

2016 1.1k citations Haipeng Wang, Feng Xu et al. IEEE Transactions on Geoscience and Remote Sensing profile →
Complex-Valued Convolutional Neural Network and Its Application in Polarimetric SAR Image Classification

2017 508 citations Haipeng Wang, Feng Xu et al. IEEE Transactions on Geoscience and Remote Sensing profile →
Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks

2016 389 citations Haipeng Wang, Feng Xu et al. profile →
FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery

2022 337 citations Feng Xu et al. profile →
Tunable smart mid infrared thermal control emitter based on phase change material VO2 thin film

2023 258 citations Feng Xu et al. profile →
Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives

2021 230 citations Feng Xu et al. profile →
FUSAR-Ship: building a high-resolution SAR-AIS matchup dataset of Gaofen-3 for ship detection and recognition

2020 201 citations Wei Ao, Haipeng Wang et al. profile →
Ultra long infrared metamaterial absorber with high absorption and broad band based on nano cross surrounding

2022 183 citations Feng Xu et al. profile →
ClassWise-SAM-Adapter: Parameter-Efficient Fine-Tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation

2025 19 citations Feng Xu et al. IEEE Journal of Selected Topics in Applied Earth Observations 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
Feng Xu China	38	4.2k	1.5k	1.3k	1.1k	922	372	7.8k
Jian Yang China	37	2.7k 0.7×	865 0.6×	481 0.4×	749 0.7×	514 0.6×	463	5.3k
Zhiwei Li China	45	4.3k 1.0×	1.6k 1.0×	1.2k 0.9×	392 0.4×	322 0.3×	388	8.7k
Wei Liu China	44	3.5k 0.8×	647 0.4×	386 0.3×	191 0.2×	388 0.4×	745	8.8k
Ruizhi Chen China	45	2.6k 0.6×	1.0k 0.7×	1.2k 0.9×	149 0.1×	457 0.5×	329	6.9k
Junren Shi China	29	2.5k 0.6×	1.4k 0.9×	497 0.4×	363 0.3×	485 0.5×	228	3.7k
Wenxian Yu China	37	2.9k 0.7×	1.6k 1.1×	528 0.4×	679 0.6×	458 0.5×	329	5.2k
Gang Li China	40	2.5k 0.6×	747 0.5×	337 0.3×	665 0.6×	177 0.2×	327	6.0k
Ram M. Narayanan United States	35	2.7k 0.6×	328 0.2×	804 0.6×	253 0.2×	194 0.2×	472	4.9k
Weimin Huang Canada	40	1.8k 0.4×	1.6k 1.1×	469 0.4×	379 0.3×	2.2k 2.4×	389	7.0k
Hong Zhang China	40	2.1k 0.5×	1.2k 0.8×	658 0.5×	730 0.7×	552 0.6×	474	8.0k

Countries citing papers authored by Feng Xu

Since Specialization

Citations

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

Fields of papers citing papers by Feng Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Xu

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

Ding, Ling, et al.. (2025). Topology-informed deep learning for pavement crack detection: Preserving consistent crack structure and connectivity. Automation in Construction. 174. 106120–106120. 4 indexed citations

Zhang, Mian, et al.. (2025). A novel co-modulation and hybrid resolution strategy (CHRS) for fault diagnosis of planetary gearboxes. Mechanical Systems and Signal Processing. 230. 112573–112573. 1 indexed citations

Jin, Yipeng, et al.. (2025). Research on typical occupant air-conditioning behavior of Changsha university dormitory buildings based on questionnaire surveys. Journal of Building Engineering. 102. 111911–111911.

Xia, Zhaoyang, et al.. (2025). Human Activity Recognition Trained on Simulated Millimeter-Wave Radar Data With Domain Adaptation. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 1 indexed citations

Zhou, Jin, et al.. (2024). An integrated model of the driving mechanism for the building energy performance gap. Journal of Building Engineering. 96. 110610–110610. 4 indexed citations

Xu, Feng, et al.. (2024). SigCo: Eliminate the inter-class competition via sigmoid for learning with noisy labels. Knowledge-Based Systems. 294. 111651–111651. 4 indexed citations

Zhang, Xu, et al.. (2024). A Reinforcement Learning Framework for Scattering Feature Extraction and SAR Image Interpretation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 3 indexed citations

Xu, Feng, et al.. (2024). Global and Local Consistency Methodology for Ionospheric dSTEC Interpolation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16.

Wang, Yanni, et al.. (2024). Reinforcement Learning for SAR Target Orientation Inference With the Differentiable SAR Renderer. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 2 indexed citations

10.

Ye, Hongxia, et al.. (2024). Cycle-GAN Network Incorporated With Atmospheric Scattering Model for Dust Removal of Martian Optical Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 2 indexed citations

11.

Xu, Feng, et al.. (2023). Screening and identification: Evaluating the transformation suitability of rural complexes through industrial resource potential in Changsha, China. Habitat International. 141. 102948–102948. 1 indexed citations

12.

Wen, Baohua, Qingxin Yang, Feng Xu, Jin Zhou, & Rongpeng Zhang. (2023). Phenomenon of courtyards being roofed and its significance for building energy efficiency. Energy and Buildings. 295. 113282–113282. 14 indexed citations

13.

Zhang, Xu, Feng Xu, & Ya‐Qiu Jin. (2022). Review of High-frequency Scattering Model of Canonical Geometric Primitives. SHILAP Revista de lepidopterología. 4 indexed citations

14.

Yu, Wenming, et al.. (2022). Simulation-assisted SAR Target Classification Based on Unsupervised Domain Adaptation and Model Interpretability Analysis. SHILAP Revista de lepidopterología. 9 indexed citations

15.

Xu, Feng, et al.. (2022). Comparative Experiments on Separation Performance of Overlapping Scatterers with Several Tomography Imaging Methods. SHILAP Revista de lepidopterología. 3 indexed citations

16.

Wang, Yan, et al.. (2022). 1-bit Coding Reconfigurable Array for 2-D Wide-Angle Scanning. IEEE Transactions on Antennas and Propagation. 71(3). 2421–2432. 19 indexed citations

17.

Li, Chengxu, Wenmin Fei, Ziyi Wang, et al.. (2021). Construction of an artificial intelligence system in dermatology: effectiveness and consideration of Chinese Skin Image Database (CSID). SHILAP Revista de lepidopterología. 1(2). 56–60. 4 indexed citations

18.

Xu, Feng, et al.. (2019). Neural-Network-Based Energy Calculation for Multivoltage Threshold Sampling. IEEE Transactions on Radiation and Plasma Medical Sciences. 4(3). 311–318. 5 indexed citations

19.

Ao, Wei, Feng Xu, Yongchen Li, & Haipeng Wang. (2018). Detection and Discrimination of Ship Targets in Complex Background From Spaceborne ALOS-2 SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(2). 536–550. 111 indexed citations

20.

Cai, Jiannan, et al.. (2016). An Adaptive Method for Mining Hierarchical Spatial Co-location Patterns. SHILAP Revista de lepidopterología.

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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