Guoqiang Han

5.4k total citations · 2 hit papers
172 papers, 3.9k citations indexed

About

Guoqiang Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Guoqiang Han has authored 172 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Computer Vision and Pattern Recognition, 51 papers in Artificial Intelligence and 23 papers in Molecular Biology. Recurrent topics in Guoqiang Han's work include Face and Expression Recognition (22 papers), Gene expression and cancer classification (17 papers) and Advanced Image and Video Retrieval Techniques (17 papers). Guoqiang Han is often cited by papers focused on Face and Expression Recognition (22 papers), Gene expression and cancer classification (17 papers) and Advanced Image and Video Retrieval Techniques (17 papers). Guoqiang Han collaborates with scholars based in China, Hong Kong and United States. Guoqiang Han's co-authors include Zhiwen Yu, Jane You, Hau−San Wong, Xuemiao Xu, Shengfeng He, Jing Qin, Jun Zhang, Chu Han, Jiong Wang and Zijun Deng and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Bioinformatics.

In The Last Decade

Guoqiang Han

167 papers receiving 3.8k 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.

R³Net: Recurrent Residual Refinement Network for Saliency Detection

2018 372 citations Xuemiao Xu, Guoqiang Han 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

Countries citing papers authored by Guoqiang Han

Since Specialization

Citations

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

Fields of papers citing papers by Guoqiang Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoqiang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Guoqiang Han. A scholar is included among the top collaborators of Guoqiang 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 Guoqiang Han. Guoqiang Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Rethinking mitosis detection: Towards diverse data and feature representation for better domain generalization 2025 ·Artificial Intelligence in Medicine ·Jiatai Lin, Hao Wang, Danyi Li, Jing Wang, Bingchao Zhao, Zhenwei Shi, Changhong Liang, Guoqiang Han, Liang Li, Zaiyi Liu, Chu Han	0
2	TelBench: A Benchmark for Evaluating Telco-Specific Large Language Models 2024 ·Sunwoo Lee, Dev P. Arya, S. Cho, Guoqiang Han, Seokyoung Hong, W. Jang, (unknown), Sohee Park, (unknown), (unknown), Sang Min Yoon, Eric Davis	0
3	FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification 2024 ·IEEE Transactions on Cybernetics ·(unknown), Yanqi Huang, Guoqiang Han, Zhenwei Shi, Jiatai Lin, Qi Dou, Zaiyi Liu, Xiaojing Guo, C. L. Philip Chen, Chu Han	6
4	Reprogramming of RNA m6A Modification Is Required for Acute Myeloid Leukemia Development 2024 ·Genomics Proteomics & Bioinformatics ·Weidong Liu, Yuhua Wang, Shuxin Yao, Guoqiang Han, Jin Hu, Rong Yin, Fuling Zhou, Ying Cheng, Haojian Zhang	2
5	PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning 2022 ·IEEE Transactions on Medical Imaging ·Jiatai Lin, Guoqiang Han, Xipeng Pan, Zaiyi Liu, Hao Chen, Danyi Li, (unknown), Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Liang Li, Ying Wang, Chu Han	39
6	Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels 2022 ·Medical Image Analysis ·Chu Han, Jiatai Lin, (unknown), Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Zeyan Xu, Su Yao, Li‐Xu Yan, Huan Lin, Xiaomei Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu	68
7	Normalization of multicenter CT radiomics by a generative adversarial network method 2020 ·Physics in Medicine and Biology ·Yajun Li, Guoqiang Han, Xiaomei Wu, (unknown), Ke Zhao, Zhiping Zhang, Zaiyi Liu, (unknown)	22
8	Fast and Effective Active Clustering Ensemble Based on Density Peak 2020 ·IEEE Transactions on Neural Networks and Learning Systems ·Yifan Shi, Zhiwen Yu, Wenming Cao, C. L. Philip Chen, Hau−San Wong, Guoqiang Han	29
9	Simultaneous Interrogation of Cancer Omics to Identify Subtypes With Significant Clinical Differences 2019 ·Frontiers in Genetics ·(unknown), Jiazhou Chen, Hong Peng, Guoqiang Han, Hongmin Cai	43
10	Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method 2017 ·Computers in Biology and Medicine ·Teng Zhou, Guoqiang Han, Bing Nan Li, Zhizhe Lin, Edward J. Ciaccio, Peter H. Green, Jing Qin	120
11	Efficient Vaccine Distribution Based on a Hybrid Compartmental Model 2016 ·PLoS ONE ·Zhiwen Yu, Jiming Liu, Xiaowei Wang, (unknown), Daxing Wang, Guoqiang Han	8
12	Texture-aware ASCII art synthesis with proportional fonts 2015 ·Xuemiao Xu, (unknown), (unknown), Jing Qin, Yilan Chen, (unknown), Tien‐Tsin Wong, Guoqiang Han	2
13	Representative Distance: A New Similarity Measure for Class Discovery From Gene Expression Data 2012 ·IEEE Transactions on NanoBioscience ·Zhiwen Yu, Jane You, Le Li, Hau−San Wong, Guoqiang Han	14
14	New Unsupervised Texture Image Segmentation Method 2010 ·Dianzi Ke-ji Daxue xuebao ·Guoqiang Han	1
15	Comparison of Digital Centering Algorithms Based on CCD Images 2009 ·Acta Astronomica Sinica ·Zhan Li, (unknown), Guoqiang Han	5
16	Richardson extrapolation of iterated discrete Galerkin solution for two-dimensional Fredholm integral equations 2002 ·Journal of Computational and Applied Mathematics ·Guoqiang Han, Ruifang Wang	69
17	Correction method and extrapolation method for singular two-point boundary value problems 2000 ·Journal of Computational and Applied Mathematics ·Guoqiang Han, Jiong Wang, Ken Hayami, (unknown)	11
18	Extrapolation of a discrete collocation-type method of Hammerstein equations 1995 ·Journal of Computational and Applied Mathematics ·Guoqiang Han	17
19	Asymptotic error expansion for the Nyström method for a nonlinear Volterra-Fredholm integral equation 1995 ·Journal of Computational and Applied Mathematics ·Guoqiang Han	32
20	Asymptotic expansion for the trapezoidal Nyström method of linear Volterra—Fredholm equations 1994 ·Journal of Computational and Applied Mathematics ·Guoqiang Han, (unknown)	47

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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