Xian‐Hua Han

6.0k total citations · 2 hit papers
197 papers, 3.5k citations indexed

About

Xian‐Hua Han is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Xian‐Hua Han has authored 197 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Computer Vision and Pattern Recognition, 46 papers in Media Technology and 41 papers in Artificial Intelligence. Recurrent topics in Xian‐Hua Han's work include Image Retrieval and Classification Techniques (41 papers), Image and Signal Denoising Methods (41 papers) and Medical Image Segmentation Techniques (40 papers). Xian‐Hua Han is often cited by papers focused on Image Retrieval and Classification Techniques (41 papers), Image and Signal Denoising Methods (41 papers) and Medical Image Segmentation Techniques (40 papers). Xian‐Hua Han collaborates with scholars based in Japan, China and United States. Xian‐Hua Han's co-authors include Yen‐Wei Chen, Lanfen Lin, Yutaro Iwamoto, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Huimin Huang, Jian Wu, Yinqiang Zheng and Boxin Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Xian‐Hua Han

179 papers receiving 3.4k 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.

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

2020 1.6k citations Lanfen Lin, Ruofeng Tong et al. profile →
Mixed Transformer U-Net for Medical Image Segmentation

2022 213 citations Lanfen Lin, Yutaro Iwamoto et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xian‐Hua Han Japan	22	1.9k	1.1k	936	649	424	197	3.5k
Yutaro Iwamoto Japan	18	1.4k 0.7×	1.0k 1.0×	783 0.8×	302 0.5×	408 1.0×	91	2.8k
Ruofeng Tong China	28	2.2k 1.2×	839 0.8×	774 0.8×	429 0.7×	369 0.9×	149	4.2k
Lanfen Lin China	23	1.5k 0.8×	1.2k 1.1×	1.2k 1.3×	263 0.4×	507 1.2×	155	3.5k
Xavier Lladó Spain	33	2.3k 1.2×	1.2k 1.1×	976 1.0×	420 0.6×	701 1.7×	130	4.1k
Jinshan Tang United States	32	1.7k 0.9×	1.1k 1.0×	1.2k 1.2×	553 0.9×	219 0.5×	154	3.6k
Ismail Ben Ayed Canada	28	1.8k 0.9×	1.0k 1.0×	810 0.9×	292 0.4×	231 0.5×	136	3.1k
Wei Shen China	32	2.8k 1.4×	1.3k 1.2×	1.3k 1.4×	459 0.7×	191 0.5×	132	4.7k
Adriana Romero Canada	13	1.3k 0.7×	703 0.7×	644 0.7×	680 1.0×	149 0.4×	22	2.8k
Ender Konukoğlu Switzerland	33	1.7k 0.9×	1.2k 1.1×	868 0.9×	184 0.3×	455 1.1×	102	3.8k

Countries citing papers authored by Xian‐Hua Han

Since Specialization

Citations

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

Fields of papers citing papers by Xian‐Hua Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xian‐Hua Han

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

Xu, Dong‐Ling, Shouxiao Ma, Xiaofan Ji, et al.. (2025). A SHapley Additive exPlanations‐Based Data‐Driven Approach for Lithium‐Ion Battery State of Health Estimation Using Ultrasound Technology. Energy Technology. 13(11).

Chen, Qingqing, Xian‐Hua Han, Yutaro Iwamoto, et al.. (2024). Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. IEEE Journal of Biomedical and Health Informatics. 28(8). 4737–4750. 4 indexed citations

Han, Xian‐Hua, et al.. (2023). Investigating self-supervised learning for Skin Lesion Classification. 1–5. 2 indexed citations

Li, He, Yutaro Iwamoto, Xian‐Hua Han, et al.. (2023). 3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation. IEICE Transactions on Information and Systems. E106.D(5). 1027–1037. 1 indexed citations

Cai, Ming, Lanfen Lin, Ruofeng Tong, et al.. (2021). Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 2512–2526. 15 indexed citations

Han, Xian‐Hua, Yutaro Iwamoto, Lanfen Lin, et al.. (2019). VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation. Computerized Medical Imaging and Graphics. 75. 74–83. 67 indexed citations

Peng, Liying, Yen‐Wei Chen, Lanfen Lin, et al.. (2019). Classification and Quantification of Emphysema Using a Multi-Scale Residual Network. IEEE Journal of Biomedical and Health Informatics. 23(6). 2526–2536. 23 indexed citations

Peng, Liying, Lanfen Lin, Hongjie Hu, et al.. (2019). Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations. IEEE Journal of Biomedical and Health Informatics. 24(8). 2327–2336. 13 indexed citations

Han, Xian‐Hua, et al.. (2018). Three-Dimensional Embryonic Image Segmentation and Registration Based on Shape Index and Ellipsoid-Fitting Method. Journal of Computational Biology. 26(2). 128–142. 6 indexed citations

10.

Zeng, Xiangyan, et al.. (2017). An Improved Random Walker with Bayes Model for Volumetric Medical Image Segmentation. Journal of Healthcare Engineering. 2017. 1–11. 10 indexed citations

11.

Han, Xian‐Hua, et al.. (2016). A preliminary study on tensor codebook model for multiphase medical image retrieval (ヘルスケア・医療情報通信技術). IEICE technical report. Speech. 116(224). 47–50. 1 indexed citations

12.

Chen, Yen‐Wei, Jie Luo, Tomoko Tateyama, et al.. (2012). Statistical shape model of the liver and effective mode selection for classification of liver cirrhosis. 449–452. 1 indexed citations

13.

Han, Xian‐Hua, et al.. (2012). Example-Based Super-Resolution using Locally Linear Embedding. 861–865. 3 indexed citations

14.

Tateyama, Tomoko, Xian‐Hua Han, Shuzo Kanasaki, et al.. (2012). Shape representation of human anatomy using spherical harmonic basis function. 866–869. 1 indexed citations

15.

Han, Xian‐Hua, et al.. (2012). Auto-recognition of food images using SPIN feature for Food-Log system. 874–877. 12 indexed citations

16.

Tateyama, Tomoko, Amir Hossein Foruzan, Xian‐Hua Han, et al.. (2012). 3D visualization of liver and its vascular structures and surgical planning system — Surgical simulation. 939–944.

17.

Xu, Qiao, Xuantao Su, Xian‐Hua Han, & Yen‐Wei Chen. (2012). A new linear coding algorithm for efficient multi-dimensional data representation without data expansion. 478–482. 1 indexed citations

18.

Han, Xian‐Hua, Yen‐Wei Chen, & Xiang Ruan. (2011). Multi-class Co-training learning for object and scene Recognition. Machine Vision and Applications. 67–70. 1 indexed citations

19.

Okamoto, A., et al.. (2010). Hierarchical Classifier with Multiple Feature Weighted Fusion for Scene Recognition. International Conference on Software Engineering. 110(27). 175–179. 1 indexed citations

20.

Han, Xian‐Hua, et al.. (2008). Noise Reduction and Signal Enhancement in IVR Images by ICA Shrinkage Filters and Multiscale Filters. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 769–772.

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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