Xipeng Pan

3.6k total citations · 3 hit papers
108 papers, 2.2k citations indexed

About

Xipeng Pan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Xipeng Pan has authored 108 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Vision and Pattern Recognition, 42 papers in Radiology, Nuclear Medicine and Imaging and 39 papers in Artificial Intelligence. Recurrent topics in Xipeng Pan's work include AI in cancer detection (32 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and Advanced Neural Network Applications (18 papers). Xipeng Pan is often cited by papers focused on AI in cancer detection (32 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and Advanced Neural Network Applications (18 papers). Xipeng Pan collaborates with scholars based in China, Netherlands and Australia. Xipeng Pan's co-authors include Weidong Zhang, Zhenbing Liu, Huihua Yang, Lingqiao Li, Xiwang Xie, Wenyi Zhao, Chu Han, Guohou Li, Ling Zhou and Rushi Lan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Xipeng Pan

98 papers receiving 2.2k 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.

Underwater Image Enhancement via Weighted Wavelet Visual Perception Fusion

2023 199 citations Weidong Zhang, Ling Zhou et al. IEEE Transactions on Circuits and Systems for Video Technology profile →
Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation

2022 114 citations Wentao Liu, Huihua Yang et al. profile →
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation

2023 103 citations Jiatai Lin, Hao Chen et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xipeng Pan China	27	1.3k	711	645	413	273	108	2.2k
Syamsiah Mashohor Malaysia	22	1.0k 0.8×	623 0.9×	718 1.1×	283 0.7×	300 1.1×	96	1.9k
Jinshan Tang United States	32	1.7k 1.3×	1.2k 1.6×	1.1k 1.6×	553 1.3×	219 0.8×	154	3.6k
Zhenbing Liu China	24	961 0.8×	688 1.0×	300 0.5×	413 1.0×	195 0.7×	101	1.8k
Shyam Lal India	22	771 0.6×	604 0.8×	336 0.5×	423 1.0×	97 0.4×	123	1.5k
J. Shin United States	7	848 0.7×	1.1k 1.6×	1.0k 1.6×	132 0.3×	246 0.9×	7	2.5k
Yinghuan Shi China	29	1.7k 1.4×	1.1k 1.6×	557 0.9×	284 0.7×	193 0.7×	121	2.8k
Ekta Walia India	19	1.3k 1.0×	726 1.0×	716 1.1×	287 0.7×	80 0.3×	55	2.3k
Md Mamunur Rahaman China	21	629 0.5×	1.3k 1.8×	865 1.3×	215 0.5×	164 0.6×	46	2.0k
Nabil Ibtehaz Bangladesh	15	804 0.6×	644 0.9×	795 1.2×	135 0.3×	270 1.0×	29	2.2k
Zhongyue Zhang China	8	1.7k 1.4×	905 1.3×	265 0.4×	368 0.9×	65 0.2×	23	2.9k

Countries citing papers authored by Xipeng Pan

Since Specialization

Citations

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

Fields of papers citing papers by Xipeng Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xipeng Pan

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

Qian, Yi, et al.. (2025). Federated Learning for Weakly Supervised Nuclei Segmentation via Style Perturbation and Clustering. Tsinghua Science & Technology.

Lin, Huan, Yumeng Wang, Lingqiao Li, et al.. (2025). Federated cross-source learning for lung nodule segmentation with data characteristic-aware weight optimization. Pattern Recognition. 172. 112396–112396.

Feng, Siyang, Liting Shi, Zhenbing Liu, et al.. (2025). Wave-aware Weakly Supervised Histopathological Tissue Segmentation with Cross-scale Logits Distillation. IEEE Transactions on Medical Imaging. PP. 1–1.

Feng, Siyang, Yanfen Cui, Lingqiao Li, et al.. (2025). Multi-layer Feature Fusion and Coarse-to-fine Label Learning for Semi-supervised Lesion Segmentation of Lung Cancer. Knowledge-Based Systems. 317. 113451–113451. 1 indexed citations

Zhou, Nan, Siyang Feng, Zhenbing Liu, et al.. (2025). Uncertainty-guided cross teaching semi-supervised framework for histopathology image segmentation with curriculum self-training. Applied Soft Computing. 180. 113328–113328.

Liu, Zhenbing, Yanfen Cui, Xipeng Pan, et al.. (2025). Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation. Expert Systems with Applications. 269. 126364–126364. 1 indexed citations

Wang, Huadeng, et al.. (2024). A novel dataset and a two-stage deep learning method for breast cancer mitosis nuclei identification. Digital Signal Processing. 158. 104978–104978. 2 indexed citations

Li, Guohou, et al.. (2024). DBANet: Dual-branch Attention Network for hyperspectral remote sensing image classification. Computers & Electrical Engineering. 118. 109269–109269. 14 indexed citations

Liu, Wentao, Weijin Xu, Lei Li, et al.. (2024). DIAS: A dataset and benchmark for intracranial artery segmentation in DSA sequences. Medical Image Analysis. 97. 103247–103247. 5 indexed citations

10.

Wang, Huadeng, et al.. (2024). Lightweight Fundus Image Segmentation Network Combining Structured Convolution and Dual Attention Mechanism. Journal of Computer-Aided Design & Computer Graphics. 36(5). 760–774.

11.

Qu, Peixin, et al.. (2023). Feature selection and cascade dimensionality reduction for self-supervised visual representation learning. Computers & Electrical Engineering. 106. 108570–108570. 2 indexed citations

12.

He, Qian, et al.. (2023). Image reconstruction method for electrical impedance tomography based on RBF and attention mechanism. Computers & Electrical Engineering. 110. 108826–108826. 6 indexed citations

13.

Pan, Xipeng, Rushi Lan, Cheng Lu, et al.. (2023). SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations. Medical Image Analysis. 88. 102867–102867. 37 indexed citations

14.

Li, Guohou, et al.. (2023). MCANet: Multi-channel attention network with multi-color space encoder for underwater image classification. Computers & Electrical Engineering. 108. 108724–108724. 6 indexed citations

15.

Wang, Xiaolong, et al.. (2023). DPACFuse: Dual-Branch Progressive Learning for Infrared and Visible Image Fusion with Complementary Self-Attention and Convolution. Sensors. 23(16). 7205–7205. 3 indexed citations

16.

Zhao, Wenyi, Lu Yang, Weidong Zhang, et al.. (2023). Learning What and Where to Learn: A New Perspective on Self-Supervised Learning. IEEE Transactions on Circuits and Systems for Video Technology. 34(8). 6620–6633. 11 indexed citations

17.

Lan, Rushi, et al.. (2023). AcFusion: Infrared and Visible Image Fusion Based on Self-Attention and Convolution With Enhanced Information Extraction. IEEE Transactions on Consumer Electronics. 70(1). 4155–4167. 5 indexed citations

18.

Lin, Jiatai, Guoqiang Han, Xipeng Pan, et al.. (2022). PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning. IEEE Transactions on Medical Imaging. 41(9). 2252–2262. 39 indexed citations

19.

Han, Chu, Jiatai Lin, Yi Wang, et al.. (2022). Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels. Medical Image Analysis. 80. 102487–102487. 68 indexed citations

20.

Pan, Xipeng, et al.. (2021). Mitosis detection techniques in H&E stained breast cancer pathological images: A comprehensive review. Computers & Electrical Engineering. 91. 107038–107038. 28 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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