Ruining Deng

885 total citations
42 papers, 302 citations indexed

About

Ruining Deng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ruining Deng has authored 42 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ruining Deng's work include AI in cancer detection (22 papers), Cell Image Analysis Techniques (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Ruining Deng is often cited by papers focused on AI in cancer detection (22 papers), Cell Image Analysis Techniques (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Ruining Deng collaborates with scholars based in United States, Canada and China. Ruining Deng's co-authors include Yuankai Huo, Haichun Yang, Agnes B. Fogo, Quan Liu, Bennett A. Landman, Tianyuan Yao, Shunxing Bao, Cam Nguyen, Aadarsh Jha and Joseph T. Roland and has published in prestigious journals such as Kidney International, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Ruining Deng

36 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruining Deng United States	10	152	128	98	39	33	42	302
Farhad Ghazvinian Zanjani Netherlands	9	185 1.2×	149 1.2×	147 1.5×	35 0.9×	27 0.8×	17	353
Quoc Dang Vu United Kingdom	7	166 1.1×	99 0.8×	130 1.3×	35 0.9×	25 0.8×	11	249
Vivek Natarajan United States	5	204 1.3×	89 0.7×	196 2.0×	34 0.9×	35 1.1×	7	367
Manish Sapkota United States	6	258 1.7×	205 1.6×	126 1.3×	21 0.5×	43 1.3×	10	392
Kokeb Dese Ethiopia	11	208 1.4×	100 0.8×	163 1.7×	24 0.6×	59 1.8×	16	379
Aaron Loh United States	3	227 1.5×	86 0.7×	189 1.9×	32 0.8×	36 1.1×	3	375
Jiquan Ma China	10	113 0.7×	117 0.9×	141 1.4×	28 0.7×	34 1.0×	36	330
Niccolò Marini Switzerland	9	157 1.0×	74 0.6×	102 1.0×	27 0.7×	27 0.8×	20	213
Fanjie Kong China	5	160 1.1×	71 0.6×	167 1.7×	23 0.6×	13 0.4×	14	299
Mohammad Peikari Canada	7	175 1.2×	94 0.7×	125 1.3×	17 0.4×	17 0.5×	13	276

Countries citing papers authored by Ruining Deng

Since Specialization

Citations

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

Fields of papers citing papers by Ruining Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruining Deng

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

Yao, Tianyuan, et al.. (2025). GloFinder: AI-empowered QuPath plugin for WSI-level glomerular detection, visualization, and curation. Journal of Pathology Informatics. 17. 100433–100433. 1 indexed citations

Deng, Ruining, et al.. (2025). Why Not for Society?. IEEE Pulse. 16(2). 45–48.

Liu, Quan, Ruining Deng, Tianyuan Yao, et al.. (2025). DeepAndes: A Self-Supervised Vision Foundation Model for Multispectral Remote Sensing Imagery of the Andes. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 26983–26999.

Cui, Can, Ruining Deng, Tianyuan Yao, et al.. (2025). Assessment of cell nuclei AI foundation models in kidney pathology. PubMed. 13409. 15–15. 2 indexed citations

Deng, Ruining, Can Cui, Quan Liu, et al.. (2025). Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. Electronic Imaging. 37(14). 132–1. 16 indexed citations

Wu, Zhongze, et al.. (2025). Towards fine-grained renal vasculature segmentation: full-scale hierarchical learning with FH-Seg. PubMed. 13413. 6–6. 1 indexed citations

Deng, Ruining, et al.. (2025). Cross-species data integration for enhanced layer segmentation in kidney pathology. PubMed. 13413. 8–8.

Deng, Ruining, Tianyuan Yao, Yu Wang, et al.. (2025). ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics. 30829–30838. 2 indexed citations

Liu, Han, Dewei Hu, Ange Lou, et al.. (2024). FNPC-SAM: uncertainty-guided false negative/positive control for SAM on noisy medical images. PubMed. 12926. 1–1. 1 indexed citations

10.

Bao, Shunxing, Ho Hin Lee, Leon Y. Cai, et al.. (2024). Nucleus subtype classification using inter-modality learning. PubMed. 12933. 14–14. 1 indexed citations

11.

Bao, Shunxing, Si-Chen Zhu, Vasantha L. Kolachala, et al.. (2024). Cell spatial analysis in Crohn's disease: unveiling local cell arrangement pattern with graph-based signatures. PubMed. 12933. 40–40. 1 indexed citations

12.

Deng, Ruining, Quan Liu, Tianyuan Yao, et al.. (2024). All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning. Journal of Physics Conference Series. 2722(1). 12012–12012. 26 indexed citations

13.

Deng, Ruining, Quan Liu, Can Cui, et al.. (2024). HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. Lecture notes in computer science. 15004. 155–166. 2 indexed citations

14.

Wang, Yu, Ruining Deng, Quan Liu, et al.. (2024). Spatial pathomics toolkit for quantitative analysis of podocyte nuclei with histology and spatial transcriptomics data in renal pathology. PubMed. 12933. 36–36. 1 indexed citations

15.

Deng, Ruining, Tianyuan Yao, Jun Long, et al.. (2023). Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation. IEEE Transactions on Biomedical Engineering. 70(9). 2636–2644. 24 indexed citations

16.

Wang, Yaohong, Shunxing Bao, Yucheng Tang, et al.. (2023). Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. Lecture notes in computer science. 14307. 82–92. 1 indexed citations

17.

Bao, Shunxing, Leon Y. Cai, François Rheault, et al.. (2023). Predicting Crohn’s disease severity in the colon using mixed cell nucleus density from pseudo labels. PubMed. 12471. 45–45. 3 indexed citations

18.

Yao, Tianyuan, François Rheault, Leon Y. Cai, et al.. (2023). Deep constrained spherical deconvolution for robust harmonization. PubMed. 12464. 27–27. 2 indexed citations

19.

Deng, Ruining, Haichun Yang, Shiru Wang, et al.. (2022). Dense multi-object 3D glomerular reconstruction and quantification on 2D serial section whole slide images. PubMed. 11603. 17–17. 4 indexed citations

20.

Gaeta, Isabella, Mengyang Zhao, Ruining Deng, et al.. (2021). ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations. Computers in Biology and Medicine. 134. 104501–104501. 11 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