Yinhai Wang

2.7k total citations · 1 hit paper
30 papers, 1.8k citations indexed

About

Yinhai Wang is a scholar working on Molecular Biology, Biophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yinhai Wang has authored 30 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Biophysics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yinhai Wang's work include Cell Image Analysis Techniques (10 papers), Gene expression and cancer classification (4 papers) and Computational Drug Discovery Methods (4 papers). Yinhai Wang is often cited by papers focused on Cell Image Analysis Techniques (10 papers), Gene expression and cancer classification (4 papers) and Computational Drug Discovery Methods (4 papers). Yinhai Wang collaborates with scholars based in United Kingdom, Australia and China. Yinhai Wang's co-authors include Hongming Chen, Ola Engkvist, Thomas Blaschke, Marcus Olivecrona, Guowen Meng, Lide Zhang, Changhui Ye, Guozhong Wang, Zhi Jiang and Zhi Jiang and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yinhai Wang

26 papers receiving 1.7k 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.

The rise of deep learning in drug discovery

2018 1.1k citations Hongming Chen, Ola Engkvist et al. Drug Discovery Today profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yinhai Wang United Kingdom	13	669	657	651	235	231	30	1.8k
Chongli Qin United Kingdom	6	1.5k 2.2×	398 0.6×	523 0.8×	90 0.4×	349 1.5×	7	2.4k
Parantu K. Shah United States	19	1.8k 2.7×	851 1.3×	424 0.7×	164 0.7×	391 1.7×	42	3.1k
Hugo Penedones France	4	1.4k 2.1×	399 0.6×	521 0.8×	75 0.3×	255 1.1×	5	2.2k
Marcus Olivecrona Sweden	3	1.1k 1.7×	1.5k 2.3×	980 1.5×	60 0.3×	203 0.9×	3	2.1k
Augustin Žídek United Kingdom	3	1.4k 2.1×	398 0.6×	521 0.8×	78 0.3×	269 1.2×	3	2.3k
Alex Bridgland United Kingdom	2	1.4k 2.1×	397 0.6×	521 0.8×	75 0.3×	251 1.1×	2	2.2k
Marc Berndl United States	12	897 1.3×	779 1.2×	632 1.0×	67 0.3×	441 1.9×	17	2.2k
Steven Kearnes United States	8	723 1.1×	1.1k 1.7×	1.2k 1.8×	99 0.4×	224 1.0×	17	1.8k
Tim Green United Kingdom	15	1.9k 2.8×	431 0.7×	656 1.0×	117 0.5×	480 2.1×	18	3.3k
Ryo Yoshida Japan	21	525 0.8×	374 0.6×	859 1.3×	218 0.9×	138 0.6×	75	1.9k

Countries citing papers authored by Yinhai Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yinhai Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinhai Wang

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

Zhu, Meixin, Xinhu Zheng, Hui Zhong, et al.. (2024). BEVGPT: Generative Pre-trained Foundation Model for Autonomous Driving Prediction, Decision-Making, and Planning. IEEE Transactions on Intelligent Vehicles. 1–13. 12 indexed citations

Tang, Chunling, Giorgos Papanastasiou, Carola‐Bibiane Schönlieb, et al.. (2024). Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion. Neurocomputing. 612. 128715–128715.

Tang, Chunling, et al.. (2024). Can generative AI replace immunofluorescent staining processes? A comparison study of synthetically generated cellpainting images from brightfield. Computers in Biology and Medicine. 182. 109102–109102. 1 indexed citations

Leong, Hui Sun, Tianhui Zhang, Adam Corrigan, et al.. (2024). Hit screening with multivariate robust outlier detection. PLoS ONE. 19(9). e0310433–e0310433.

Tong, Lei, et al.. (2024). CLANet: A comprehensive framework for cross-batch cell line identification using brightfield images. Medical Image Analysis. 94. 103123–103123. 1 indexed citations

Zhang, Xuyuan, et al.. (2024). CDK5 Upregulated by ELF3 Transcription Promotes IL-1β-induced Inflammation and Extracellular Matrix Degradation in Human Chondrocytes. Cell Biochemistry and Biophysics. 82(4). 3333–3344. 2 indexed citations

Kim, Chang Sik, Jonathan Cairns, Valentina Quarantotti, et al.. (2024). A statistical simulation model to guide the choices of analytical methods in arrayed CRISPR screen experiments. PLoS ONE. 19(8). e0307445–e0307445.

Chen, Qian, et al.. (2023). Not getting in too deep: A practical deep learning approach to routine crystallisation image classification. PLoS ONE. 18(3). e0282562–e0282562. 4 indexed citations

Tong, Lei, Zhihua Liu, Zheheng Jiang, et al.. (2022). Cost-Sensitive Boosting Pruning Trees for Depression Detection on Twitter. IEEE Transactions on Affective Computing. 14(3). 1898–1911. 36 indexed citations

10.

Mouchet, Elizabeth, et al.. (2022). Label-free prediction of cell painting from brightfield images. Scientific Reports. 12(1). 10001–10001. 32 indexed citations

11.

Liu, Zhihua, Lei Tong, Long Chen, et al.. (2021). CANet: Context Aware Network for Brain Glioma Segmentation. IEEE Transactions on Medical Imaging. 40(7). 1763–1777. 67 indexed citations

12.

Pellinen, Teijo, Sami Blom, Katja Välimäki, et al.. (2018). ITGB1-dependent upregulation of Caveolin-1 switches TGFβ signalling from tumour-suppressive to oncogenic in prostate cancer. Scientific Reports. 8(1). 2338–2338. 27 indexed citations

13.

Chen, Hongming, Ola Engkvist, Yinhai Wang, Marcus Olivecrona, & Thomas Blaschke. (2018). The rise of deep learning in drug discovery. Drug Discovery Today. 23(6). 1241–1250. 1057 indexed citations breakdown →

14.

Pointon, Amy, James Pilling, Thierry Dorval, et al.. (2016). From the Cover: High-Throughput Imaging of Cardiac Microtissues for the Assessment of Cardiac Contraction during Drug Discovery. Toxicological Sciences. 155(2). 444–457. 56 indexed citations

15.

McArt, Darragh G., Jaine K. Blayney, David P. Boyle, et al.. (2015). PICan: An integromics framework for dynamic cancer biomarker discovery. Molecular Oncology. 9(6). 1234–1240. 12 indexed citations

16.

Wang, Yinhai, Damian McManus, Ken Arthur, et al.. (2015). Whole slide image cytometry: a novel method to detect abnormal DNA content in Barrett's esophagus. Laboratory Investigation. 95(11). 1319–1330. 6 indexed citations

17.

Turkki, Riku, Nina Linder, Tanja Holopainen, et al.. (2015). Assessment of tumour viability in human lung cancer xenografts with texture-based image analysis. Journal of Clinical Pathology. 68(8). 614–621. 14 indexed citations

18.

Navarro‐Lérida, Inmaculada, Teijo Pellinen, Susana A. Sánchez, et al.. (2015). Rac1 Nucleocytoplasmic Shuttling Drives Nuclear Shape Changes and Tumor Invasion. Developmental Cell. 32(3). 318–334. 73 indexed citations

19.

Wang, Yinhai, et al.. (2012). A Robust Co-Localisation Measurement Utilising Z-Stack Image Intensity Similarities for Biological Studies. PLoS ONE. 7(2). e30632–e30632. 7 indexed citations

20.

Ye, Changhui, Guowen Meng, Zhi Jiang, et al.. (2002). Rational Growth of Bi₂S₃ Nanotubes from Quasi-two-dimensional Precursors. Journal of the American Chemical Society. 124(51). 15180–15181. 181 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