Fenglei Fan

1.8k total citations · 2 hit papers
42 papers, 974 citations indexed

About

Fenglei Fan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Fenglei Fan has authored 42 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Biomedical Engineering. Recurrent topics in Fenglei Fan's work include Neural Networks and Applications (11 papers), Medical Imaging Techniques and Applications (9 papers) and Advanced X-ray and CT Imaging (9 papers). Fenglei Fan is often cited by papers focused on Neural Networks and Applications (11 papers), Medical Imaging Techniques and Applications (9 papers) and Advanced X-ray and CT Imaging (9 papers). Fenglei Fan collaborates with scholars based in United States, China and Hong Kong. Fenglei Fan's co-authors include Ge Wang, Jinjun Xiong, Mengzhou Li, Wenxiang Cong, Fei Wang, Dayang Wang, Hengyong Yu, Zhan Wu, Rui Liu and Hongming Shan and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Applied Surface Science.

In The Last Decade

Fenglei Fan

34 papers receiving 956 citations

Hit Papers

align trajectories sort by overperformance

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.

On Interpretability of Artificial Neural Networks: A Survey

2021 316 citations Fenglei Fan, Ge Wang et al. profile →
CTformer: convolution-free Token2Token dilated vision transformer for low-dose CT denoising

2023 111 citations Dayang Wang, Fenglei Fan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fenglei Fan United States	15	307	271	270	229	129	42	974
Yunliang Qi China	26	264 0.9×	383 1.4×	267 1.0×	332 1.4×	21 0.2×	107	2.5k
Mengzhou Li United States	11	158 0.5×	158 0.6×	90 0.3×	154 0.7×	41 0.3×	39	614
Huisheng Zhang China	19	454 1.5×	570 2.1×	536 2.0×	67 0.3×	99 0.8×	81	1.4k
Yonggang Lu China	16	154 0.5×	269 1.0×	450 1.7×	101 0.4×	27 0.2×	73	1.1k
Yanhua Wang China	17	120 0.4×	136 0.5×	251 0.9×	154 0.7×	33 0.3×	120	1.1k
Xiao Zhang China	18	71 0.2×	256 0.9×	292 1.1×	295 1.3×	53 0.4×	113	1.3k
Qin Xu China	17	145 0.5×	190 0.7×	1.5k 5.6×	218 1.0×	75 0.6×	59	2.1k
Hong Gu China	19	73 0.2×	281 1.0×	169 0.6×	68 0.3×	128 1.0×	72	1.0k
Florinel-Alin Croitoru Romania	4	86 0.3×	222 0.8×	348 1.3×	57 0.2×	57 0.4×	7	849

Countries citing papers authored by Fenglei Fan

Since Specialization

Citations

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

Fields of papers citing papers by Fenglei Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenglei Fan

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

He, Qiang, et al.. (2025). Quadratic graph attention network (Q-GAT) for robust construction of gene regulatory network. Neurocomputing. 631. 129635–129635. 2 indexed citations

Fan, Fenglei, et al.. (2025). Towards NeuroAI: introducing neuronal diversity into artificial neural networks. 3(1).

Wang, Qianchao, et al.. (2025). Don’t fear peculiar activation functions: EUAF and beyond. Neural Networks. 186. 107258–107258.

Wang, Hao, Xiaoyu Zhang, Xuebin Ren, et al.. (2025). Federated Metadata-Constrained iRadonMAP Framework with Mutual Learning for All-in-One Computed Tomography Imaging. Cyborg and Bionic Systems. 6. 376–376.

Yu, Heng, et al.. (2025). Anisotropic CMS adsorption on talc and molybdenite basal and edge surfaces and interaction mechanism with magnesium ion. Applied Surface Science. 708. 163671–163671.

Wang, Qisong, et al.. (2024). EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification. IEEE Journal of Biomedical and Health Informatics. 29(4). 2484–2495. 10 indexed citations

Zhang, Yi, Yingyu Chen, Hui Yu, et al.. (2024). UniAda: Domain Unifying and Adapting Network for Generalizable Medical Image Segmentation. IEEE Transactions on Medical Imaging. 44(5). 1988–2001.

Qi, Shuren, Zhiqiu Huang, Yushu Zhang, et al.. (2024). Spatial-Frequency Discriminability for Revealing Adversarial Perturbations. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12608–12623. 2 indexed citations

Hou, Bojian, Hao Zhang, Xiaoge Zhang, et al.. (2024). Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection. IEEE Transactions on Artificial Intelligence. 5(9). 4723–4737. 1 indexed citations

10.

Wang, Dayang, Fenglei Fan, Bojian Hou, et al.. (2024). Manifoldron: Direct Space Partition via Manifold Discovery. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 12311–12325.

11.

Wu, Tingting, et al.. (2023). Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 14559–14572. 12 indexed citations

12.

Zeng, Tieyong, et al.. (2023). BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 15 indexed citations

13.

Fan, Fenglei, Dayang Wang, Qikui Zhu, et al.. (2021). On a Sparse Shortcut Topology of Artificial Neural Networks. IEEE Transactions on Artificial Intelligence. 3(4). 595–608. 10 indexed citations

14.

Fan, Fenglei, Sangtae Ahn, Bruno De Man, et al.. (2020). Deep learning-based model observers that replicate human observers for PET imaging. 12–12. 6 indexed citations

15.

Fan, Fenglei, Hongming Shan, & Ge Wang. (2019). Quadratic autoencoder for low-dose CT denoising. 34. 106–106. 5 indexed citations

16.

Teng, Yueyang, Yichao Liu, Chen Li, et al.. (2019). Graph Regularized Sparse Autoencoders with Nonnegativity Constraints. Neural Processing Letters. 50(1). 247–262. 1 indexed citations

17.

Fan, Fenglei, Hongming Shan, Mannudeep K. Kalra, et al.. (2019). Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising. IEEE Transactions on Medical Imaging. 39(6). 2035–2050. 109 indexed citations

18.

Teng, Yueyang, Yudong Yao, Shouliang Qi, et al.. (2019). A novel framework for the NMF methods with experiments to unmixing signals and feature representation. Journal of Computational and Applied Mathematics. 362. 205–218. 4 indexed citations

19.

Fan, Fenglei & Ge Wang. (2018). Learning From Pseudo-Randomness With an Artificial Neural Network–Does God Play Pseudo-Dice?. IEEE Access. 6. 22987–22992. 25 indexed citations

20.

Ling, Feng, et al.. (2009). Forest Volume Density Estimation Capability of ALOS PALSAR Data over Hilly Region. ESASP. 668. 10. 6 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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