Yalin Wang

11.6k total citations · 1 hit paper
375 papers, 7.7k citations indexed

About

Yalin Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yalin Wang has authored 375 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Radiology, Nuclear Medicine and Imaging, 87 papers in Computer Vision and Pattern Recognition and 58 papers in Molecular Biology. Recurrent topics in Yalin Wang's work include Advanced Neuroimaging Techniques and Applications (78 papers), 3D Shape Modeling and Analysis (51 papers) and Medical Image Segmentation Techniques (44 papers). Yalin Wang is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (78 papers), 3D Shape Modeling and Analysis (51 papers) and Medical Image Segmentation Techniques (44 papers). Yalin Wang collaborates with scholars based in United States, China and France. Yalin Wang's co-authors include Paul M. Thompson, Xianfeng Gu, Tony F. Chan, Jieping Ye, A. Jacob Odgaard, Jie Shi, Boris A. Gutman, Arthur W. Toga, Shing Tung Yau and Shing‐Tung Yau and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Yalin Wang

346 papers receiving 7.5k citations

Hit Papers

Genus Zero Surface Conformal Mapping and Its Application ... 2004 2026 2011 2018 2004 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yalin Wang United States 46 1.4k 1.3k 1.3k 1.1k 978 375 7.7k
Montserrat Robles Spain 33 2.0k 1.5× 1.7k 1.3× 1.6k 1.3× 736 0.6× 479 0.5× 102 8.0k
Ivo D. Dinov United States 46 665 0.5× 902 0.7× 1.8k 1.4× 1.9k 1.7× 1.4k 1.4× 197 7.2k
Jagath C. Rajapakse Singapore 37 1.4k 1.0× 1.0k 0.8× 1.4k 1.1× 2.4k 2.1× 855 0.9× 214 7.7k
John R. Gilbert United States 65 4.4k 3.2× 952 0.7× 1.3k 1.0× 2.4k 2.1× 684 0.7× 288 15.4k
Polina Golland United States 39 2.7k 1.9× 2.2k 1.7× 2.0k 1.6× 1.7k 1.5× 252 0.3× 199 9.5k
Li Shen United States 52 3.5k 2.6× 1.1k 0.8× 1.9k 1.4× 1.8k 1.6× 2.1k 2.2× 437 10.7k
Dzung L. Pham United States 44 616 0.4× 3.5k 2.7× 3.2k 2.4× 1.2k 1.0× 576 0.6× 194 9.8k
Lawrence H. Staib United States 52 555 0.4× 2.7k 2.1× 3.1k 2.4× 3.8k 3.3× 1.5k 1.6× 220 14.2k
John G. Sled Canada 52 1.9k 1.4× 1.7k 1.3× 5.1k 3.9× 2.6k 2.3× 1.3k 1.3× 239 13.9k
Hongtu Zhu United States 56 991 0.7× 404 0.3× 2.6k 2.0× 4.0k 3.5× 1.3k 1.3× 376 12.4k

Countries citing papers authored by Yalin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yalin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yalin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yalin Wang. A scholar is included among the top collaborators of Yalin 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 Yalin Wang. Yalin Wang 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.
Wang, Xuesong, Qing Han, Chen Chen, et al.. (2025). A convenient colorimetric assay for Cr( vi ) detection based on the nanozyme Cu-4PDA-NH 2 with oxidoreductase-like activity. Environmental Science Nano. 12(6). 3061–3071. 1 indexed citations
2.
Wang, Yalin, et al.. (2025). qPRF: A system to accelerate population receptive field modeling. NeuroImage. 306. 120994–120994. 1 indexed citations
3.
Zhang, Yiting, et al.. (2024). Astaxanthin Inhibits H2O2-Induced Excessive Mitophagy and Apoptosis in SH-SY5Y Cells by Regulation of Akt/mTOR Activation. Marine Drugs. 22(2). 57–57. 11 indexed citations
4.
Wang, Yalin, et al.. (2024). Clinical efficacy analysis of cosmetic suture technique combined with tension reducer in the treatment of facial skin trauma. Medicine. 103(52). e41040–e41040. 1 indexed citations
5.
Dong, Qunxi, Zhigang Li, Weijia Liu, et al.. (2024). Schizophrenia Detection Based on Morphometry of Hippocampus and Amygdala. IEEE Journal of Biomedical and Health Informatics. 29(5). 3598–3608. 1 indexed citations
7.
Zhu, Wenhui, et al.. (2023). OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing. Lecture notes in computer science. 13939. 415–427. 9 indexed citations
8.
Zhu, Wenhui, et al.. (2023). TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. Lecture notes in computer science. 13939. 303–315.
9.
Li, Xin, et al.. (2022). Protocol for topology-preserving smoothing of BOLD fMRI retinotopic maps of the human visual cortex. STAR Protocols. 3(3). 101614–101614.
10.
Lu, Zhong‐Lin, et al.. (2021). Topology-preserving smoothing of retinotopic maps. PLoS Computational Biology. 17(8). e1009216–e1009216. 7 indexed citations
11.
Lu, Zhong‐Lin, et al.. (2021). Topological Receptive Field Model for Human Retinotopic Mapping. Lecture notes in computer science. 12907. 639–649. 1 indexed citations
12.
Dong, Qunxi, Jie Zhang, Qingyang Li, et al.. (2019). Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer’s Disease. Communications in computer and information science. 1072. 21–35. 7 indexed citations
13.
Shi, Jie & Yalin Wang. (2019). Hyperbolic Wasserstein Distance for Shape Indexing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(6). 1362–1376. 7 indexed citations
14.
Dong, Qunxi, Wen Zhang, Jianfeng Wu, et al.. (2019). Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects. NeuroImage Clinical. 22. 101744–101744. 36 indexed citations
15.
Otte, Marianne, et al.. (2018). Improving genetic transformation rates in honeybees. Scientific Reports. 8(1). 16534–16534. 22 indexed citations
16.
Joshi, Shantanu H., Randall Espinoza, Tara Pirnia, et al.. (2015). Structural Plasticity of the Hippocampus and Amygdala Induced by Electroconvulsive Therapy in Major Depression. Biological Psychiatry. 79(4). 282–292. 237 indexed citations
17.
Wang, Yalin, et al.. (2006). Brain surface conformal parameterization with algebraic functions. Lecture notes in computer science. 4191. 946. 1 indexed citations
18.
Thompson, Paul M., Kiralee M. Hayashi, Elizabeth R. Sowell, et al.. (2004). Mapping cortical change in Alzheimer's disease, brain development, and schizophrenia. NeuroImage. 23. S2–S18. 319 indexed citations
19.
Wang, Yalin, Brian Barkdoll, & A. Jacob Odgaard. (1994). Flow and Sediment Transport at River Diversions. Hydraulic Engineering. 1060–1064. 1 indexed citations
20.
Odgaard, A. Jacob & Yalin Wang. (1990). Sediment Management with Submerged Vanes. Hydraulic Engineering. 963–968. 47 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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