Longfei Han

507 total citations
30 papers, 304 citations indexed

About

Longfei Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Longfei Han has authored 30 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Longfei Han's work include Advanced Neural Network Applications (4 papers), Advanced Image Processing Techniques (4 papers) and Image and Signal Denoising Methods (3 papers). Longfei Han is often cited by papers focused on Advanced Neural Network Applications (4 papers), Advanced Image Processing Techniques (4 papers) and Image and Signal Denoising Methods (3 papers). Longfei Han collaborates with scholars based in China, United Arab Emirates and United States. Longfei Han's co-authors include Senlin Luo, Limin Pan, Dingwen Zhang, Junwei Han, Dong Huang, Wei Wu, Tiemei Zhang, Xingxing Liu, De Cheng and Pengfei Zhu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Longfei Han

23 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Longfei Han China	10	118	111	68	31	30	30	304
Hung N. Pham Vietnam	8	145 1.2×	57 0.5×	83 1.2×	120 3.9×	22 0.7×	19	365
Nesma Settouti Algeria	10	177 1.5×	82 0.7×	77 1.1×	59 1.9×	10 0.3×	38	341
Abid Sarwar India	11	184 1.6×	67 0.6×	92 1.4×	82 2.6×	10 0.3×	26	331
Takuma Shibahara Japan	8	100 0.8×	116 1.0×	80 1.2×	20 0.6×	5 0.2×	15	357
Shahid Mohammad Ganie India	9	160 1.4×	40 0.4×	193 2.8×	39 1.3×	12 0.4×	22	311
Rafid Mostafiz Bangladesh	12	150 1.3×	90 0.8×	43 0.6×	112 3.6×	37 1.2×	29	315
Jayashree Piri India	9	171 1.4×	51 0.5×	31 0.5×	23 0.7×	5 0.2×	21	321
Nikos Fazakis Greece	9	191 1.6×	29 0.3×	91 1.3×	19 0.6×	14 0.5×	25	318
Jing Zheng China	12	262 2.2×	131 1.2×	68 1.0×	165 5.3×	14 0.5×	36	606
Michele Bernardini Italy	8	162 1.4×	99 0.9×	135 2.0×	39 1.3×	29 1.0×	15	358

Countries citing papers authored by Longfei Han

Since Specialization

Citations

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

Fields of papers citing papers by Longfei Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longfei Han

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

Yin, Lu, Yanan Sun, Jianjun Chen, et al.. (2025). A uniform dispersion design method for echelle spectrometer. Optics Communications. 582. 131657–131657.

Chen, Xianmin, et al.. (2025). Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 406–420. 1 indexed citations

Chen, Xianmin, et al.. (2025). DecoupleNet: Domain-specific task decoupling network for low-light image enhancement. Pattern Recognition. 171. 112203–112203.

Xie, Qiang, et al.. (2025). Prompting Vision-Language Model for Nuclei Instance Segmentation and Classification. IEEE Transactions on Medical Imaging. 44(11). 4567–4578. 3 indexed citations

Zhang, Dingwen, et al.. (2024). Pixel Distillation: Cost-Flexible Distillation Across Image Sizes and Heterogeneous Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9536–9550. 10 indexed citations

Sun, Xinyu, et al.. (2024). RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 5025–5033. 1 indexed citations

Han, Longfei, et al.. (2024). Bidirectional Decoupled Distillation for Heterogeneous Federated Learning. Entropy. 26(9). 762–762.

Han, Longfei, et al.. (2024). MHKD: Multi-Step Hybrid Knowledge Distillation for Low-Resolution Whole Slide Images Glomerulus Detection. IEEE Journal of Biomedical and Health Informatics. 29(2). 767–774. 5 indexed citations

Han, Longfei, et al.. (2024). Single Image Defocus Deblurring Based on Structural Information Enhancement. IEEE Access. 12. 153471–153480.

10.

Xie, Qiang, et al.. (2024). LLaVA-Endo: a large language-and-vision assistant for gastrointestinal endoscopy. Frontiers of Computer Science. 19(4). 1 indexed citations

11.

Sun, Yanan, Lu Yin, Jianjun Chen, et al.. (2024). Research on automatic spectral calibration algorithm for echelle spectrometer. Optics Communications. 565. 130663–130663. 2 indexed citations

12.

Cheng, Pengfei, et al.. (2023). Region Guided Transformer for Single Image Raindrop Removal. 964–972.

13.

Wang, Yi, et al.. (2023). A Relation-Aware Network for Defocus Blur Detection. 66–74. 3 indexed citations

14.

Han, Longfei, et al.. (2023). Giving Text More Imagination Space for Image-text Matching. 6359–6368. 4 indexed citations

15.

Han, Longfei, Zhaohui Zheng, Runmin Cong, et al.. (2023). Position-based anchor optimization for point supervised dense nuclei detection. Neural Networks. 171. 159–170. 28 indexed citations

16.

Han, Longfei, Kaihui Yang, Nian Liu, et al.. (2023). Contextual Dependency Vision Transformer for spectrogram-based multivariate time series analysis. Neurocomputing. 572. 127215–127215. 6 indexed citations

17.

Xu, Chenchu, et al.. (2022). BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation. IEEE Journal of Biomedical and Health Informatics. 27(1). 87–96. 24 indexed citations

18.

Hu, Yaxian, et al.. (2019). Deep supervised learning with mixture of neural networks. Artificial Intelligence in Medicine. 102. 101764–101764. 8 indexed citations

19.

Luo, Senlin, et al.. (2014). Exploring the effects of intervention for those at high risk of developing type 2 diabetes using a computer simulation. Computers in Biology and Medicine. 53. 105–114. 3 indexed citations

20.

Luo, Senlin, Longfei Han, Ping Zeng, et al.. (2014). A Risk Assessment Model for Type 2 Diabetes in Chinese. PLoS ONE. 9(8). e104046–e104046. 13 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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