Yunling Wang

3.1k total citations
111 papers, 2.3k citations indexed

About

Yunling Wang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Yunling Wang has authored 111 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 16 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Oncology. Recurrent topics in Yunling Wang's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Cell Adhesion Molecules Research (6 papers) and Microbial Community Ecology and Physiology (5 papers). Yunling Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Cell Adhesion Molecules Research (6 papers) and Microbial Community Ecology and Physiology (5 papers). Yunling Wang collaborates with scholars based in China, Canada and Sweden. Yunling Wang's co-authors include Hongquan Zhang, Pernilla Lång, Staffan Strömblad, Zhilun Li, Jun Zhan, Weigang Fang, David Morse, Jonathan S. Berg, Richard E. Cheney and Aurea D. Sousa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Yunling Wang

105 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunling Wang China 28 1.2k 429 400 303 265 111 2.3k
Satoru Yamazaki Japan 28 1.1k 0.9× 343 0.8× 382 1.0× 167 0.6× 90 0.3× 97 2.6k
Duo Zheng China 28 1.3k 1.1× 207 0.5× 302 0.8× 402 1.3× 139 0.5× 96 2.6k
Meera Saxena India 31 1.9k 1.5× 492 1.1× 640 1.6× 378 1.2× 128 0.5× 52 3.5k
Ida G. Lunde Norway 29 928 0.8× 342 0.8× 184 0.5× 205 0.7× 89 0.3× 61 2.3k
Richard A. Earl United States 23 2.1k 1.7× 302 0.7× 525 1.3× 304 1.0× 135 0.5× 65 4.2k
Michael G. Tomlinson United Kingdom 32 1.0k 0.8× 265 0.6× 436 1.1× 211 0.7× 786 3.0× 67 3.5k
Ramón Muñoz‐Chápuli Spain 37 2.9k 2.4× 373 0.9× 255 0.6× 374 1.2× 106 0.4× 108 4.3k
Chih‐Wen Ni United States 21 1.4k 1.2× 481 1.1× 151 0.4× 510 1.7× 120 0.5× 30 2.4k
Yoshihiko Shimizu Japan 24 784 0.6× 170 0.4× 394 1.0× 168 0.6× 51 0.2× 175 2.3k
Wenmei Li China 33 2.0k 1.6× 793 1.8× 622 1.6× 579 1.9× 52 0.2× 145 3.9k

Countries citing papers authored by Yunling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yunling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunling Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yunling Wang. A scholar is included among the top collaborators of Yunling 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 Yunling Wang. Yunling 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.
Li, Min, et al.. (2024). ASFFuse: Infrared and visible image fusion model based on adaptive selection feature maps. Pattern Recognition. 149. 110226–110226. 9 indexed citations
2.
Zuo, Enguang, et al.. (2024). DSFusion: Infrared and visible image fusion method combining detail and scene information. Pattern Recognition. 154. 110633–110633. 14 indexed citations
3.
Wang, Yunling, et al.. (2024). SeACPFusion: An Adaptive Fusion Network for Infrared and Visible Images based on brightness perception. Infrared Physics & Technology. 142. 105541–105541.
4.
Wang, Jingru, Xiaohong Wang, Chencui Huang, et al.. (2024). Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study. Academic Radiology. 31(8). 3384–3396. 9 indexed citations
5.
Wang, Jingjing, et al.. (2024). Detecting Water Stress in Winter Wheat Based on Multifeature Fusion from UAV Remote Sensing and Stacking Ensemble Learning Method. Remote Sensing. 16(21). 4100–4100. 3 indexed citations
6.
Li, Min, et al.. (2024). DCFusion: Difference correlation-driven fusion mechanism of infrared and visible images. Pattern Recognition. 158. 111002–111002. 3 indexed citations
7.
Li, Junjie, et al.. (2024). Mesothelin expression prediction in pancreatic cancer based on multimodal stochastic configuration networks. Medical & Biological Engineering & Computing. 63(4). 1117–1129. 1 indexed citations
8.
Hui, Xin, et al.. (2024). Calibrating ultrasonic sensor measurements of crop canopy heights: a case study of maize and wheat. Frontiers in Plant Science. 15. 1354359–1354359. 1 indexed citations
9.
Li, Min, et al.. (2023). Classification of benign and malignant parotid tumors based on CT images combined with stack generalization model. Medical & Biological Engineering & Computing. 61(11). 3123–3135. 1 indexed citations
10.
Hu, Bowen, Burcu F. Darst, Shubhabrata Mukherjee, et al.. (2023). Biobank-wide association scan identifies risk factors for late-onset Alzheimer’s disease and endophenotypes. eLife. 12.
11.
Chen, Cong, Yunling Wang, Xiaochen Liu, et al.. (2023). A region‐specific modulation of sleep slow waves on interictal epilepsy markers in focal epilepsy. Epilepsia. 64(4). 973–985. 8 indexed citations
12.
Shu, Lin, Hongbin Liu, Rui Tan, et al.. (2023). Abstract 2531: FCN-683, a novel second-generation BCL-2 inhibitor, is highly potent, selective and efficacious against clinically relevant venetoclax-resistant mutations. Cancer Research. 83(7_Supplement). 2531–2531. 1 indexed citations
13.
Wang, Yunling, et al.. (2022). Preparation and properties of fucoxanthin-loaded liposomes stabilized by sea cucumber derived cholesterol sulfate instead of cholesterol. Journal of Bioscience and Bioengineering. 135(2). 160–166. 5 indexed citations
14.
15.
Chu, Wenhui, Lihua Qi, Peng Wang, et al.. (2020). The EZH2–PHACTR2–AS1–Ribosome Axis induces Genomic Instability and Promotes Growth and Metastasis in Breast Cancer. Cancer Research. 80(13). 2737–2750. 44 indexed citations
16.
Li, Bing, Xiaochun Chi, Jiagui Song, et al.. (2018). Integrin-interacting protein Kindlin-2 induces mammary tumors in transgenic mice. Science China Life Sciences. 62(2). 225–234. 13 indexed citations
17.
Wang, Yunling, Jingyu Cao, Liqun Wu, & Jiaxiu Liu. (2011). Effects of ω-3 fatty acids on inflammatory reaction and immunologic function of patients after hepatectomy. 19(3). 162–166. 1 indexed citations
18.
Gong, Wei, Zhengwen An, Yunling Wang, et al.. (2009). P21‐activated kinase 5 is overexpressed during colorectal cancer progression and regulates colorectal carcinoma cell adhesion and migration. International Journal of Cancer. 125(3). 548–555. 65 indexed citations
19.
Wang, Yunling. (2008). Application of series-parallel energy storage system with super-capacitor in wind power generation. Dianli zidonghua shebei. 6 indexed citations
20.
Wang, Yunling. (2006). Improvement of Power Quality and Stability of Wind Farms Connected to Power Grid by Battery Energy Storage System. Power System Technology. 30 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

Breakdown of academic impact, for papers by Satoru Yamazaki Breakdown of academic impact, for papers by Duo Zheng Breakdown of academic impact, for papers by Meera Saxena Breakdown of academic impact, for papers by Ida G. Lunde Breakdown of academic impact, for papers by Richard A. Earl Breakdown of academic impact, for papers by Michael G. Tomlinson Breakdown of academic impact, for papers by Ramón Muñoz‐Chápuli Breakdown of academic impact, for papers by Chih‐Wen Ni Breakdown of academic impact, for papers by Yoshihiko Shimizu Breakdown of academic impact, for papers by Wenmei Li
Rankless by CCL
2026