Xiaohang Fu

654 total citations
22 papers, 382 citations indexed

About

Xiaohang Fu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Xiaohang Fu has authored 22 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Xiaohang Fu's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Single-cell and spatial transcriptomics (4 papers) and Protein Hydrolysis and Bioactive Peptides (4 papers). Xiaohang Fu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Single-cell and spatial transcriptomics (4 papers) and Protein Hydrolysis and Bioactive Peptides (4 papers). Xiaohang Fu collaborates with scholars based in China, Australia and United States. Xiaohang Fu's co-authors include Zhaohan Xiong, Jichao Zhao, Jinman Kim, Vadim V. Fedorov, Elizabeth Cheng, Rob MacLeod, Xinqi Liu, He Li, Lei Bi and Ashnil Kumar and has published in prestigious journals such as Nature Communications, Nature Methods and Scientific Reports.

In The Last Decade

Xiaohang Fu

19 papers receiving 375 citations

Peers

Xiaohang Fu
Xiaohang Fu
Citations per year, relative to Xiaohang Fu Xiaohang Fu (= 1×) peers Shuang Zheng

Countries citing papers authored by Xiaohang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohang Fu

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

All Works

20 of 20 papers shown
1.
Fu, Xiaohang, Yue Cao, J. Dinny Graham, et al.. (2025). Spatial gene expression at single-cell resolution from histology using deep learning with GHIST. Nature Methods. 22(9). 1900–1910.
2.
Fu, Xiaohang, et al.. (2025). Benchmarking the translational potential of spatial gene expression prediction from histology. Nature Communications. 16(1). 1544–1544. 11 indexed citations
4.
Bi, Lei, Xiaohang Fu, Qiufang Liu, et al.. (2024). Co-Learning Multimodality PET-CT Features via a Cascaded CNN-Transformer Network. IEEE Transactions on Radiation and Plasma Medical Sciences. 8(7). 814–825.
5.
Fu, Xiaohang, Yingxin Lin, David Lin, et al.. (2024). BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data. Nature Communications. 15(1). 509–509. 28 indexed citations
6.
Wu, Qianrong, Mingwu Zang, Shouwei Wang, et al.. (2023). Changes in flavors profiles of stewed bone-in lamb loin during cooking by DHS/GC-MS combined with electronic bionic systems. Food Bioscience. 53. 102767–102767. 14 indexed citations
7.
Fu, Xiaohang, Ellis Patrick, Jean Yang, Dagan Feng, & Jinman Kim. (2023). Deep multimodal graph-based network for survival prediction from highly multiplexed images and patient variables. Computers in Biology and Medicine. 154. 106576–106576. 17 indexed citations
8.
Xia, Tian, Xiaohang Fu, Michael Fulham, et al.. (2023). CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations. Journal of Digital Imaging. 36(6). 2356–2366. 1 indexed citations
9.
Fu, Xiaohang, et al.. (2023). Effect of extrusion on the protein structure and digestibility of extruded soybean protein. Journal of the Science of Food and Agriculture. 104(4). 2225–2232. 12 indexed citations
10.
Xu, Hengtao, Xiaohang Fu, Weihua Feng, & Ting Wang. (2023). [Photo-Degradation Mechanism and Pathway for Tetracycline in Simulated Seawater Under Irradiation of Visible Light].. PubMed. 44(6). 3260–3269. 1 indexed citations
11.
Lu, Jiayu, et al.. (2023). Assessing mammal population densities in response to urbanization using camera trap distance sampling. Ecology and Evolution. 13(10). e10634–e10634. 2 indexed citations
12.
Bi, Lei, et al.. (2023). Hybrid CNN-transformer network for interactive learning of challenging musculoskeletal images. Computer Methods and Programs in Biomedicine. 243. 107875–107875. 7 indexed citations
13.
Li, Wenhui, Xiaohang Fu, Tianyu Zhang, et al.. (2023). Isolation and identification of an α-glucosidase inhibitory peptide from extruded soybean protein and its hypoglycemic activity in T2DM mice. Food & Function. 14(9). 4288–4301. 10 indexed citations
14.
Fu, Xiaohang, Lei Bi, Ashnil Kumar, Michael Fulham, & Jinman Kim. (2022). An attention-enhanced cross-task network to analyse lung nodule attributes in CT images. Pattern Recognition. 126. 108576–108576. 30 indexed citations
15.
Xu, Hengtao, Zhe Hao, Weihua Feng, Ting Wang, & Xiaohang Fu. (2022). The floating photocatalytic spheres loaded with weak light-driven TiO2-based catalysts for photodegrading tetracycline in seawater. Materials Science in Semiconductor Processing. 144. 106610–106610. 20 indexed citations
16.
Fu, Xiaohang, Lei Bi, Ashnil Kumar, Michael Fulham, & Jinman Kim. (2022). Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. IEEE Transactions on Medical Imaging. 41(11). 3266–3277. 20 indexed citations
17.
Li, He, et al.. (2021). Proteinaceous α-amylase inhibitors: purification, detection methods, types and mechanisms. International Journal of Food Properties. 24(1). 277–290. 36 indexed citations
18.
Fu, Xiaohang, Yuxi Liu, Jiguang Deng, et al.. (2020). Intermetallic compound PtMn -derived Pt−MnO supported on mesoporous CeO2: Highly efficient catalysts for the combustion of toluene. Applied Catalysis A General. 595. 117509–117509. 36 indexed citations
19.
Fu, Xiaohang, Tong Liu, Zhaohan Xiong, et al.. (2018). Segmentation of histological images and fibrosis identification with a convolutional neural network. Computers in Biology and Medicine. 98. 147–158. 35 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026