Bo Wang

27.5k total citations · 11 hit papers
569 papers, 13.9k citations indexed

About

Bo Wang is a scholar working on Molecular Biology, Artificial Intelligence and Surgery. According to data from OpenAlex, Bo Wang has authored 569 papers receiving a total of 13.9k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Molecular Biology, 97 papers in Artificial Intelligence and 85 papers in Surgery. Recurrent topics in Bo Wang's work include Single-cell and spatial transcriptomics (21 papers), Gene expression and cancer classification (16 papers) and Cardiac Valve Diseases and Treatments (15 papers). Bo Wang is often cited by papers focused on Single-cell and spatial transcriptomics (21 papers), Gene expression and cancer classification (16 papers) and Cardiac Valve Diseases and Treatments (15 papers). Bo Wang collaborates with scholars based in China, United States and Canada. Bo Wang's co-authors include Zhuowen Tu, Anna Goldenberg, Jun Ma, Aziz M. Mezlini, Benjamin Haibe‐Kains, Michael Brudno, Marc Fiume, Xingchao Peng, Qinxun Bai and Kate Saenko and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Bo Wang

529 papers receiving 13.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Similarity network fusion for aggregating data types on a genomic scale

2014 1.3k citations Bo Wang et al. Nature Methods profile →
Moment Matching for Multi-Source Domain Adaptation

2019 918 citations Bo Wang et al. profile →
Segment anything in medical images

2024 896 citations Jun Ma, Bo Wang et al. profile →
Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior

2016 639 citations Bo Wang et al. profile →
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning

2017 455 citations Bo Wang, Serafim Batzoglou et al. Nature Methods profile →
Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities

2018 379 citations Bo Wang et al. profile →
scGPT: toward building a foundation model for single-cell multi-omics using generative AI

2024 349 citations Haotian Cui, Bo Wang et al. Nature Methods profile →
AGILE platform: a deep learning powered approach to accelerate LNP development for mRNA delivery

2024 91 citations Shihao Ma, Haotian Cui et al. profile →
Transformers in single-cell omics: a review and new perspectives

2024 52 citations Karin Hrovatin, Haotian Cui et al. Nature Methods profile →
Towards multimodal foundation models in molecular cell biology

2025 22 citations Haotian Cui, Fabian J. Theis et al. profile →
Transformers and genome language models

2025 18 citations Fabian J. Theis, Bo Wang et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bo Wang	3.5k	2.9k	2.8k	1.2k	1.1k	569	13.9k
Hong Yan	4.6k 1.3×	2.3k 0.8×	5.4k 1.9×	964 0.8×	395 0.4×	960	17.8k
Tommaso Cai	3.8k 1.1×	2.1k 0.7×	1.3k 0.4×	496 0.4×	1.8k 1.6×	580	23.6k
Shuo Li	3.4k 1.0×	3.1k 1.1×	3.4k 1.2×	3.2k 2.6×	1.4k 1.2×	1.6k	36.0k
Stephen T.C. Wong	6.8k 1.9×	1.2k 0.4×	1.4k 0.5×	1.7k 1.4×	637 0.6×	493	16.9k
Qian Zhang	2.5k 0.7×	1.7k 0.6×	841 0.3×	800 0.7×	882 0.8×	1.2k	25.1k
Li Wang	2.5k 0.7×	2.4k 0.8×	4.8k 1.7×	4.9k 4.1×	591 0.5×	828	18.6k
Susan M. Swetter	2.3k 0.6×	3.7k 1.3×	1.0k 0.4×	2.7k 2.3×	648 0.6×	141	15.1k
Peter Liu	1.8k 0.5×	1.7k 0.6×	1.2k 0.4×	1.9k 1.5×	1.7k 1.5×	728	22.6k
David Warde-Farley	3.5k 1.0×	4.0k 1.4×	5.5k 1.9×	1.5k 1.2×	267 0.2×	17	16.4k
Frederick Klauschen	2.8k 0.8×	2.1k 0.7×	656 0.2×	881 0.7×	857 0.8×	201	10.5k

Countries citing papers authored by Bo Wang

Since Specialization

Citations

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

Fields of papers citing papers by Bo Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Wang

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

Díaz‐Navarro, Ander, et al.. (2025). In silico generation of synthetic cancer genomes using generative AI. Cell Genomics. 5(11). 100969–100969.

Wang, Bo, Yifan Zhang, Jian Li, et al.. (2024). SplatFlow: Learning Multi-frame Optical Flow via Splatting. International Journal of Computer Vision. 132(8). 3023–3045. 4 indexed citations

Wang, Bo, et al.. (2024). Microbe-drug association prediction model based on graph convolution and attention networks. Scientific Reports. 14(1). 22327–22327. 1 indexed citations

Wu, Jiayi, Wei Zhang, Zhenyu Zhu, et al.. (2024). Hepatic and portal vein segmentation with dual‐stream deep neural network. Medical Physics. 51(8). 5441–5456. 5 indexed citations

Sage, Andrew T., Micheal McInnis, Jerome Valero, et al.. (2024). Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs. npj Digital Medicine. 7(1). 272–272. 3 indexed citations

Wang, Bo, et al.. (2024). The investigation of early metabolic level perturbation of northern quahog ( Mercenaria mercenaria ) in response to brevetoxin. Molecular Omics. 21(2). 143–151. 1 indexed citations

Wang, Bo, et al.. (2024). DeepVNP:Virtual Network Placing with Deep Reinforcement Learning in Industrial IoT. 778–783. 1 indexed citations

Li, Xin, et al.. (2024). A Novel Low-Cost UWB/IMU Positioning Method With the Robust Unscented Kalman Filter Based on Maximum Correntropy. IEEE Sensors Journal. 24(18). 29219–29231. 7 indexed citations

Ma, Shihao, Alice Chong, Xuesong Wang, et al.. (2024). Comparison of machine learning and conventional statistical modeling for predicting readmission following acute heart failure hospitalization. American Heart Journal. 277. 93–103. 4 indexed citations

10.

Hrovatin, Karin, et al.. (2024). Transformers in single-cell omics: a review and new perspectives. Nature Methods. 21(8). 1430–1443. 52 indexed citations breakdown →

11.

Ma, Jun & Bo Wang. (2023). Towards foundation models of biological image segmentation. Nature Methods. 20(7). 953–955. 26 indexed citations

12.

Du, Heng, et al.. (2023). Where should the thermal image sensor of a smart A/C look?-Occupant thermal sensation model based on thermal imaging data. Building and Environment. 239. 110405–110405. 15 indexed citations

13.

Liu, Jun, et al.. (2023). Identification of a novel cuproptosis‐related gene signature for multiple myeloma diagnosis. Immunity Inflammation and Disease. 11(11). e1058–e1058. 7 indexed citations

14.

Young, Adamo, et al.. (2022). A graph neural network approach for molecule carcinogenicity prediction. Bioinformatics. 38(Supplement_1). i84–i91. 22 indexed citations

15.

Wang, Bo, Jeremy Mercuri, Agneta Simionescu, et al.. (2022). Structural and biomechanical characterizations of acellular porcine mitral valve scaffolds: anterior leaflets, posterior leaflets, and chordae tendineae. SHILAP Revista de lepidopterología. 3(4). 374–386. 3 indexed citations

16.

Wang, Bo, Rekha Srivastava, & Jin-Lin Liu. (2021). A Certain Subclass of Multivalent Analytic Functions Defined by the q-Difference Operator Related to the Janowski Functions. Mathematics. 9(14). 1706–1706. 13 indexed citations

17.

Zhang, Zhishuai, Siyuan Qiao, Cihang Xie, et al.. (2018). Single-Shot Object Detection with Enriched Semantics. 5813–5821. 156 indexed citations

18.

Huang, Lin, et al.. (2015). Reveel: large-scale population genotyping using low-coverage sequencing data. Bioinformatics. 32(11). 1686–1696. 8 indexed citations

19.

Peng, Xiaodong, Fang Wang, Liwei Li, et al.. (2013). Exploring a structural protein–drug interactome for new therapeutics in lung cancer. Molecular BioSystems. 10(3). 581–591. 12 indexed citations

20.

Zhang, Chengzhi, Huilin Wang, Yao Liu, et al.. (2008). Automatic Keyword Extraction from Documents Using Conditional Random Fields. E-LIS Repository (University of Naples Federico II). 169 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.

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