Hui Cui

1.9k citations

111 papers · 1.4k · h-index 19

Impact in

Computer Vision and Pattern Recognition top 5%
- Medical Image Segmentation Techniques
Computational Theory and Mathematics top 2%
- Computational Drug Discovery Methods

Papers in

Computer Vision and Pattern Recognition 30
- Medical Image Segmentation Techniques 23
Computational Theory and Mathematics 21
- Computational Drug Discovery Methods 16
- Rough Sets and Fuzzy Logic 5

Co-authors: Ping Xuan (46 shared papers)Tiangang Zhang (38 shared papers)Qiangguo Jin (24 shared papers)Xiu Ying Wang (18 shared papers)Ran Su (12 shared papers)Changming Sun (10 shared papers)Zhaopeng Meng (4 shared papers)Dagan D. Feng (16 shared papers)
Journals: Briefings in Bioinformatics (9 papers)Journal of Chemical Information and Modeling (6 papers)Physics in Medicine and Biology (5 papers)Applied Soft Computing (4 papers)Expert Systems with Applications (3 papers)
Partner nations: China Australia Japan

In The Last Decade

Hui Cui

103 papers receiving 1.4k citations

Peers

Countries citing papers authored by Hui Cui

Since Specialization

Citations

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

Fields of papers citing papers by Hui Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hui Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hui Cui Line = papers co-authored together Hui Cui links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Cascade knowledge diffusion network for skin lesion diagnosis and segmentation Applied Soft Computing ·Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su	2020	103
2	SigNet: A Novel Deep Learning Framework for Radio Signal Classification IEEE Transactions on Cognitive Communications and Networking ·Zhuangzhi Chen, Hui Cui, Jingyang Xiang, Kunfeng Qiu, Liang Pei Huang, Shilian Zheng, Shichuan Chen, Qi Xuan	2021	83
3	Epileptic Seizure Detection with EEG Textural Features and Imbalanced Classification Based on EasyEnsemble Learning International Journal of Neural Systems ·Chengfa Sun, Hui Cui, Weidong Zhou, Weiwei Nie, Xiu Ying Wang, Qi Yuan	2019	67
4	COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework Medical Image Analysis ·Jiannan Liu, Bo Dong, Shuai Wang, Hui Cui, Deng-Ping Fan, Jiquan Ma, Geng Chen	2021	65
5	A Unified Collaborative Multikernel Fuzzy Clustering for Multiview Data IEEE Transactions on Fuzzy Systems ·Shan Zeng, Xiu Ying Wang, Hui Cui, Chaojie Zheng, Dagan D. Feng	2017	59
6	Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA–disease association prediction Briefings in Bioinformatics ·Nan Sheng, Hui Cui, Tiangang Zhang, Ping Xuan	2020	54
7	Free-form tumor synthesis in computed tomography images via richer generative adversarial network Knowledge-Based Systems ·Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su	2021	52
8	Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images Expert Systems with Applications ·Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su	2021	47
9	Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation Expert Systems with Applications ·Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su	2023	37
10	Study on the Viscoelastic Poisson‘s Ratio of Solid Propellants Using Digital Image Correlation Method Propellants Explosives Pyrotechnics ·Hui Cui, Guo Jin Tang, Zhi Shen	2016	31
11	Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement Lecture notes in computer science ·Qiangguo Jin, Hui Cui, Changming Sun, Jiangbin Zheng, Leyi Wei, Zhenyu Fang, Zhaopeng Meng, Ran Su	2022	31
12	GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug–protein interaction prediction Briefings in Bioinformatics ·Ping Xuan, Mengsi Fan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi	2021	28
13	Analysis method for causal factors in emergency processes of fire accidents for oil-gas storage and transportation based on ISM and MBN Journal of Loss Prevention in the Process Industries ·Changfeng Yuan, Hui Cui, Siming Ma, Yulong Zhang, Yichao Hu +1 other	2019	27
14	Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes Knowledge-Based Systems ·Ping Xuan, Hui Cui, Hongda Zhang, Tiangang Zhang, Linlin Wang, Toshiya Nakaguchi, Henry Been‐Lirn Duh	2021	26
15	Topology polymorphism graph for lung tumor segmentation in PET-CT images Physics in Medicine and Biology ·Hui Cui, Xiu Ying Wang, Jianlong J. Zhou, Stefan Eberl, Yong Yin, Dagan D. Feng, MICHAEL J. FULHAM	2015	24
16	Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation Knowledge-Based Systems ·Qiangguo Jin, Hui Cui, Junbo Wang, Changming Sun, Ping Xuan, Cong Cong, Leyi Wei, Ran Su +2 others	2025	23
17	Learning Deep Spatial Lung Features by 3D Convolutional Neural Network for Early Cancer Detection International Conference on Digital Image Computing: Techniques and Applications (DICTA) ·Taolin Jin, Hui Cui, Shan Zeng, Xiu Ying Wang	2017	22
18	A method of multimedia teaching evaluation based on fuzzy linguistic concept lattice Multimedia Tools and Applications ·Pengsen Liu, Hui Cui, Yiming Cao, Xuehui Hou, Li Zou	2019	22
19	HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou’s Five-Step Rule Frontiers in Pharmacology ·Ping Xuan, Hui Cui, Tonghui Shen, Nan Sheng, Tiangang Zhang	2019	20
20	Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs Briefings in Bioinformatics ·Ping Xuan, Hui Cui, Bochong Li, Tiangang Zhang +1 other	2022	18

About Hui Cui

Hui Cui is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Cancer Research, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 111 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (23 papers), Computational Drug Discovery Methods (16 papers), Cancer-related molecular mechanisms research (7 papers), Rough Sets and Fuzzy Logic (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers), Advanced Clustering Algorithms Research (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (244 citations), Computational Theory and Mathematics (152 citations), Artificial Intelligence (264 citations), Cancer Research (82 citations) and Radiology, Nuclear Medicine and Imaging (137 citations). Hui Cui has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Ping Xuan, Tiangang Zhang, Qiangguo Jin, Xiu Ying Wang, Ran Su, Changming Sun, Zhaopeng Meng, Dagan D. Feng, Toshiya Nakaguchi and Jiquan Ma. Their work appears in journals such as Briefings in Bioinformatics, Journal of Chemical Information and Modeling, Physics in Medicine and Biology, Applied Soft Computing and Expert Systems with Applications.

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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