Ruichen Rong

3.0k total citations · 2 hit papers
32 papers, 1.8k citations indexed

About

Ruichen Rong is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Ruichen Rong has authored 32 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Oncology. Recurrent topics in Ruichen Rong's work include AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cell Image Analysis Techniques (6 papers). Ruichen Rong is often cited by papers focused on AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cell Image Analysis Techniques (6 papers). Ruichen Rong collaborates with scholars based in United States, China and France. Ruichen Rong's co-authors include Qunfeng Dong, Donghan M. Yang, Shidan Wang, Xiaowei Zhan, Guanghua Xiao, Evelyn Toh, David E. Nelson, Norio Shibata, Linda Brubaker and Kimberly Kenton and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

Ruichen Rong

31 papers receiving 1.8k 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.

Evidence of Uncultivated Bacteria in the Adult Female Bladder

2012 464 citations Alan J. Wolfe, Evelyn Toh et al. Journal of Clinical Microbiology profile →
A critical assessment of using ChatGPT for extracting structured data from clinical notes

2024 101 citations Donghan M. Yang, Ruichen Rong et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruichen Rong United States	15	516	420	408	380	256	32	1.8k
Kathy A. Mangold United States	20	188 0.4×	339 0.8×	158 0.4×	135 0.4×	114 0.4×	50	1.6k
William H. Benjamin United States	29	1.5k 2.9×	770 1.8×	32 0.1×	80 0.2×	92 0.4×	57	3.6k
David G. Heath United States	28	289 0.6×	607 1.4×	162 0.4×	588 1.5×	27 0.1×	52	3.3k
Hao Zeng China	28	289 0.6×	1.1k 2.5×	79 0.2×	285 0.8×	39 0.2×	173	2.8k
Takashi Mochizuki Japan	25	2.0k 3.8×	324 0.8×	17 0.0×	187 0.5×	107 0.4×	231	3.1k
Andreas Matussek Sweden	30	457 0.9×	522 1.2×	32 0.1×	69 0.2×	73 0.3×	101	3.4k
Sven Klaschik Germany	25	320 0.6×	381 0.9×	89 0.2×	1.1k 2.9×	33 0.1×	60	2.4k
Ikuo Kobayashi Japan	23	190 0.4×	221 0.5×	18 0.0×	286 0.8×	171 0.7×	188	1.9k
Karen A. Hunt United Kingdom	23	397 0.8×	545 1.3×	89 0.2×	188 0.5×	57 0.2×	43	2.4k
Carlos Monteagudo Spain	29	1.2k 2.3×	1.3k 3.1×	63 0.2×	70 0.2×	324 1.3×	191	4.2k

Countries citing papers authored by Ruichen Rong

Since Specialization

Citations

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

Fields of papers citing papers by Ruichen Rong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruichen Rong

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

Rong, Ruichen, et al.. (2025). Image-based inference of tumor cell trajectories enables large-scale cancer progression analysis. Science Advances. 11(29). eadv9466–eadv9466. 1 indexed citations

Tang, Chen, Ruichen Rong, Ying Ma, et al.. (2024). BayeSMART: Bayesian clustering of multi-sample spatially resolved transcriptomics data. Briefings in Bioinformatics. 25(6). 1 indexed citations

Wang, Shidan, Ruichen Rong, Zhuo Zhao, et al.. (2024). Cell Segmentation With Globally Optimized Boundaries (CSGO): A Deep Learning Pipeline for Whole-Cell Segmentation in Hematoxylin-and-Eosin–Stained Tissues. Laboratory Investigation. 105(2). 102184–102184. 4 indexed citations

Wang, Laura, Ruichen Rong, Andrew J. Park, et al.. (2024). Assessing disease severity in cutaneous lupus patients using natural language processing: Preliminary data from a cohort study. Journal of the American Academy of Dermatology. 92(4). 894–896. 1 indexed citations

Yao, Jia, Ruichen Rong, Tao Wang, & Guanghua Xiao. (2024). SegPath-YOLO: A High-Speed, High-Accuracy Pathology Image Segmentation and Tumor Microenvironment Feature Extraction Tool. 1726–1731. 1 indexed citations

Rong, Ruichen, Zhuoyu Wen, Julia Kozlitina, et al.. (2024). Deep Learning-Based Automated Measurement of Murine Bone Length in Radiographs. Bioengineering. 11(7). 670–670.

Rong, Ruichen, Shidan Wang, Xinyi Zhang, et al.. (2023). Enhanced Pathology Image Quality with Restore–Generative Adversarial Network. American Journal Of Pathology. 193(4). 404–416. 13 indexed citations

Wen, Zhuoyu, Yu-Hsuan Lin, Shidan Wang, et al.. (2023). Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology Images. Genes. 14(4). 921–921. 4 indexed citations

Wang, Shidan, Ruichen Rong, Donghan M. Yang, et al.. (2023). Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images. Nature Communications. 14(1). 7872–7872. 20 indexed citations

10.

Rong, Ruichen, Danni Luo, Zhuoyu Wen, et al.. (2023). A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization. Modern Pathology. 36(8). 100196–100196. 33 indexed citations

11.

Zhang, Xinyi, Shidan Wang, Erin R. Rudzinski, et al.. (2022). Deep Learning of Rhabdomyosarcoma Pathology Images for Classification and Survival Outcome Prediction. American Journal Of Pathology. 192(6). 917–925. 20 indexed citations

12.

Wang, Shidan, Yiqing Wang, Ruichen Rong, et al.. (2022). MB-SupCon: Microbiome-based Predictive Models via Supervised Contrastive Learning. Journal of Molecular Biology. 434(15). 167693–167693. 5 indexed citations

13.

Rong, Ruichen, Shuang Jiang, Lin Xu, et al.. (2021). MB-GAN: Microbiome Simulation via Generative Adversarial Network. GigaScience. 10(2). 22 indexed citations

14.

Wang, Shidan, Donghan M. Yang, Ruichen Rong, Xiaowei Zhan, & Guanghua Xiao. (2019). Pathology Image Analysis Using Segmentation Deep Learning Algorithms. American Journal Of Pathology. 189(9). 1686–1698. 244 indexed citations

15.

Wu, Junyan, et al.. (2019). Skin Lesion Segmentation with C-UNet. PubMed. 2019. 2785–2788. 22 indexed citations

16.

Twigg, Homer L., David E. Nelson, Richard B. Day, et al.. (2014). Comparison of Whole and Acellular Bronchoalveolar Lavage to Oral Wash Microbiomes. Should Acellular Bronchoalveolar Lavage Be the Standard?. Annals of the American Thoracic Society. 11(Supplement_1). S72–S73. 5 indexed citations

17.

Zhou, Mi, Ruichen Rong, Daniel Munro, et al.. (2013). Investigation of the Effect of Type 2 Diabetes Mellitus on Subgingival Plaque Microbiota by High-Throughput 16S rDNA Pyrosequencing. PLoS ONE. 8(4). e61516–e61516. 96 indexed citations

18.

Nelson, David E., Qunfeng Dong, Barbara Van Der Pol, et al.. (2012). Bacterial Communities of the Coronal Sulcus and Distal Urethra of Adolescent Males. PLoS ONE. 7(5). e36298–e36298. 178 indexed citations

19.

Hawlena, Hadas, Evelyn C. Rynkiewicz, Evelyn Toh, et al.. (2012). The arthropod, but not the vertebrate host or its environment, dictates bacterial community composition of fleas and ticks. The ISME Journal. 7(1). 221–223. 100 indexed citations

20.

Wolfe, Alan J., Evelyn Toh, Norio Shibata, et al.. (2012). Evidence of Uncultivated Bacteria in the Adult Female Bladder. Journal of Clinical Microbiology. 50(4). 1376–1383. 464 indexed citations breakdown →

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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