Fei Wang

19.0k total citations · 3 hit papers
567 papers, 11.5k citations indexed

About

Fei Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Fei Wang has authored 567 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 291 papers in Computer Vision and Pattern Recognition, 170 papers in Artificial Intelligence and 72 papers in Aerospace Engineering. Recurrent topics in Fei Wang's work include Face and Expression Recognition (84 papers), Video Surveillance and Tracking Methods (51 papers) and Advanced Image and Video Retrieval Techniques (47 papers). Fei Wang is often cited by papers focused on Face and Expression Recognition (84 papers), Video Surveillance and Tracking Methods (51 papers) and Advanced Image and Video Retrieval Techniques (47 papers). Fei Wang collaborates with scholars based in China, United States and Singapore. Fei Wang's co-authors include Changshui Zhang, Baba C. Vemuri, Feiping Nie, Tao Li, Hang Dong, Fanhua Shang, Xinyi Zhang, Murali Rao, Licheng Jiao and Yu Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Fei Wang

515 papers receiving 11.1k 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.

Multi-Scale Boosted Dehazing Network With Dense Feature Fusion

2020 645 citations Hang Dong, Fei Wang et al. profile →
Label Propagation through Linear Neighborhoods

2007 499 citations Fei Wang et al. profile →
A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection

2021 490 citations Fei Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fei Wang China	49	5.4k	3.4k	1.5k	1.0k	798	567	11.5k
Yue Gao China	61	7.4k 1.4×	3.7k 1.1×	794 0.5×	582 0.6×	712 0.9×	380	13.2k
Lei Wang China	54	6.7k 1.2×	4.9k 1.4×	1.3k 0.9×	268 0.3×	687 0.9×	600	13.4k
Soumith Chintala United States	12	5.2k 1.0×	3.9k 1.1×	675 0.4×	386 0.4×	749 0.9×	18	9.9k
Dit‐Yan Yeung Hong Kong	44	5.4k 1.0×	4.1k 1.2×	1.2k 0.8×	416 0.4×	755 0.9×	152	9.5k
Yuan Yan Tang China	48	5.4k 1.0×	1.8k 0.5×	3.1k 2.0×	410 0.4×	791 1.0×	495	10.6k
Xuelong Li China	63	9.7k 1.8×	6.2k 1.8×	3.5k 2.3×	682 0.7×	1.0k 1.3×	606	14.9k
Xavier Glorot Canada	7	3.9k 0.7×	4.7k 1.4×	577 0.4×	514 0.5×	987 1.2×	7	10.3k
Joachim M. Buhmann Switzerland	54	4.6k 0.8×	3.5k 1.0×	862 0.6×	408 0.4×	1.1k 1.4×	235	12.5k
Kilian Q. Weinberger United States	54	8.4k 1.6×	8.3k 2.4×	839 0.6×	409 0.4×	1.3k 1.6×	133	17.0k
Daniel P. Huttenlocher United States	31	7.1k 1.3×	2.5k 0.7×	1.2k 0.8×	1.9k 1.9×	554 0.7×	51	12.4k

Countries citing papers authored by Fei Wang

Since Specialization

Citations

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

Fields of papers citing papers by Fei Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Wang

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

1.

Sun, Shan, Fei Wang, Kai Chen, et al.. (2025). Atypical hierarchical brain connectivity in autism: Insights from stepwise causal analysis using Liang information flow. NeuroImage. 310. 121107–121107. 2 indexed citations

2.

Wang, Fei, et al.. (2024). FIAO: Feature Information Aggregation Oversampling for imbalanced data classification. Applied Soft Computing. 161. 111774–111774. 3 indexed citations

3.

Zhang, Xin, et al.. (2024). Design and Optimization of 3D-Printed Variable Cross-Section I-Beams Reinforced with Continuous and Short Fibers. Polymers. 16(5). 684–684. 7 indexed citations

4.

Wei, Yanyan, Yilin Zhang, Kun Li, et al.. (2024). Leveraging vision-language prompts for real-world image restoration and enhancement. Computer Vision and Image Understanding. 250. 104222–104222. 7 indexed citations

5.

Wang, Fei, et al.. (2024). Parameters identification for the nonlinear systems via target system-based method with intermittent adjustment. Mathematical Foundations of Computing. 8(2). 331–346.

6.

Wang, Li, et al.. (2024). Dual-path dehazing network with spatial-frequency feature fusion. Pattern Recognition. 151. 110397–110397. 8 indexed citations

7.

Li, Guoyan & Fei Wang. (2024). Image Object and Scene Recognition Based on Improved Convolutional Neural Network. The International Arab Journal of Information Technology. 21(5).

8.

Xu, Nan, et al.. (2024). Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking. 3526–3548. 3 indexed citations

9.

Wang, Fei, Ming Zheng, Kai Ma, & Xiaowen Hu. (2024). Resampling approach for imbalanced data classification based on class instance density per feature value intervals. Information Sciences. 692. 121570–121570. 1 indexed citations

10.

Wang, Fei, et al.. (2024). 130+ ps Coincident Time Resolution With 20-mm Crystal Length Using 28-nm Xilinx FPGA. IEEE Transactions on Radiation and Plasma Medical Sciences. 9(1). 1–10.

11.

Yan, Jingwen, et al.. (2023). Error-distribution-free kernel extreme learning machine for traffic flow forecasting. Engineering Applications of Artificial Intelligence. 123. 106411–106411. 18 indexed citations

12.

Zheng, Jin, et al.. (2023). Semantic Plane-Structure based motion detection with a nonstationary camera. Displays. 79. 102454–102454. 1 indexed citations

13.

Wang, Fei, et al.. (2023). Cell tracking with multifeature fusion. The Journal of Supercomputing. 79(17). 20001–20018. 1 indexed citations

14.

Hu, Jing, et al.. (2023). A Gated Content-Oriented Residual Dense Network for Hyperspectral Image Super-Resolution. Remote Sensing. 15(13). 3378–3378. 2 indexed citations

15.

Shi, Jingang, et al.. (2023). Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution. 1035–1043. 8 indexed citations

16.

Wang, Fei, et al.. (2023). Comparative Study on Feature Extraction of Marine Background Noise Based on Nonlinear Dynamic Features. Entropy. 25(6). 845–845. 3 indexed citations

17.

Yang, Yongqing, et al.. (2023). Synchronization of fractional-order reaction–diffusion neural networks with Markov parameter jumping: Asynchronous boundary quantization control. Chaos Solitons & Fractals. 173. 113622–113622. 9 indexed citations

18.

Chen, Fangmin, et al.. (2023). Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution. 7952–7960. 4 indexed citations

19.

Wang, Fei, Shujin Lin, Hefeng Wu, et al.. (2019). SPFusionNet: Sketch Segmentation Using Multi-modal Data Fusion. 1654–1659. 11 indexed citations

20.

Meng, Yuxian, Wei Wu, Fei Wang, et al.. (2019). Glyce: Glyph-vectors for Chinese Character Representations. arXiv (Cornell University). 32. 2742–2753. 35 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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