Yida Wang

1.2k total citations
39 papers, 704 citations indexed

About

Yida Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, Yida Wang has authored 39 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computational Mechanics. Recurrent topics in Yida Wang's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced Vision and Imaging (6 papers) and Computer Graphics and Visualization Techniques (5 papers). Yida Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced Vision and Imaging (6 papers) and Computer Graphics and Visualization Techniques (5 papers). Yida Wang collaborates with scholars based in China, United States and Germany. Yida Wang's co-authors include Federico Tombari, Nassir Navab, Guang Yang, David Joseph Tan, Yu‐Dong Zhang, Yang Song, Jing Zhang, Minxiong Zhou, Ying Hou and Xu Yan and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Yida Wang

35 papers receiving 688 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yida Wang China 13 282 173 98 83 83 39 704
Duc Fehr United States 10 581 2.1× 280 1.6× 48 0.5× 366 4.4× 27 0.3× 20 991
Patricio Simari United States 13 453 1.6× 244 1.4× 41 0.4× 405 4.9× 72 0.9× 31 1.1k
Manning Wang China 22 378 1.3× 645 3.7× 331 3.4× 141 1.7× 165 2.0× 124 1.7k
Zujun Hou Singapore 16 304 1.1× 486 2.8× 26 0.3× 33 0.4× 5 0.1× 59 1.1k
Zichun Zhong United States 15 243 0.9× 246 1.4× 34 0.3× 97 1.2× 182 2.2× 54 953
Ming Chuang United States 12 178 0.6× 512 3.0× 85 0.9× 144 1.7× 62 0.7× 14 944
Jun Jiang China 17 303 1.1× 656 3.8× 63 0.6× 46 0.6× 37 0.4× 81 1.2k
Nishant Ravikumar United Kingdom 15 325 1.2× 205 1.2× 30 0.3× 44 0.5× 12 0.1× 63 669
Thomas Wendler Germany 20 373 1.3× 192 1.1× 30 0.3× 148 1.8× 6 0.1× 75 1.1k

Countries citing papers authored by Yida Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yida Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yida Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yida Wang. A scholar is included among the top collaborators of Yida 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 Yida Wang. Yida 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.
Qi, Tao, Chunyang He, Qiang Ren, Yida Wang, & Shengpeng Cao. (2025). Dual effects on vegetation caused by urban expansion in global drylands: Insights from the enhanced vegetation disturbance index. Resources Conservation and Recycling. 222. 108438–108438. 1 indexed citations
2.
Yan, Yunzhi, et al.. (2025). StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models. 822–832. 1 indexed citations
3.
Wang, Yida, Jie Bai, Huiting Zhang, et al.. (2025). Using partially shared radiomics features to simultaneously identify isocitrate dehydrogenase mutation status and epilepsy in glioma patients from MRI images. Scientific Reports. 15(1). 3591–3591. 1 indexed citations
5.
Wang, Yida, et al.. (2025). Simulating the effects on carbon sinks caused by urban expansion using a coupled urban–ecological model. Journal of Cleaner Production. 520. 146184–146184.
6.
Wang, Yida, Weihong Liu, Yiming Liu, et al.. (2024). Machine-learning-assisted exploration of new non-fullerene acceptors for high-efficiency organic solar cells. Cell Reports Physical Science. 5(12). 102316–102316. 1 indexed citations
7.
Li, Penghui, Chunyang He, Qingxu Huang, Yida Wang, & Xiaoyu Duan. (2024). Metacoupling flow of embodied carbon in resource-based cities: A case study of Hohhot-Baotou-Ordos-Yulin urban agglomeration in China. Energy. 313. 134041–134041. 5 indexed citations
8.
Wang, Yida, David Joseph Tan, Nassir Navab, & Federico Tombari. (2024). RaNeuS: Ray-adaptive Neural Surface Reconstruction. 33. 53–63.
9.
Wang, Yida, He Zhang, Chenglong Wang, et al.. (2023). A Deep Learning Pipeline Using Prior Knowledge for Automatic Evaluation of Placenta Accreta Spectrum Disorders With MRI. Journal of Magnetic Resonance Imaging. 59(2). 483–493. 5 indexed citations
10.
Wang, Yida. (2023). The Impact of Inflation and Unemployment as Endogenous Variables on Economic Growth in China (2017---2023). Advances in Economics Management and Political Sciences. 65(1). 239–244. 1 indexed citations
11.
Bai, Jie, Yida Wang, Guohua Zhao, et al.. (2022). Radiomics Nomogram Improves the Prediction of Epilepsy in Patients With Gliomas. Frontiers in Oncology. 12. 856359–856359. 17 indexed citations
12.
Zhu, Hao, Yida Wang, Xuefen Liu, et al.. (2022). A computerized diagnostic model for automatically evaluating placenta accrete spectrum disorders based on the combined MR radiomics-clinical signatures. Scientific Reports. 12(1). 10130–10130. 6 indexed citations
13.
Yao, Zhewei, Zhen Dong, Amir Gholaminejad, et al.. (2021). HAWQ-V3: Dyadic Neural Network Quantization. International Conference on Machine Learning. 11875–11886. 30 indexed citations
14.
Wang, Yida, Guohua Zhao, Xiaonan Zhang, et al.. (2021). Radiomics for the Prediction of Epilepsy in Patients With Frontal Glioma. Frontiers in Oncology. 11. 725926–725926. 20 indexed citations
15.
Yang, Shuyi, Yida Wang, Yuxin Shi, et al.. (2021). Radiomics nomogram analysis of T2-fBLADE-TSE in pulmonary nodules evaluation. Magnetic Resonance Imaging. 85. 80–86. 7 indexed citations
16.
Song, Yang, Jing Zhang, Yu‐Dong Zhang, et al.. (2020). FeAture Explorer (FAE): A tool for developing and comparing radiomics models. PLoS ONE. 15(8). e0237587–e0237587. 188 indexed citations
17.
18.
Wang, Yida, Ying Xiao, Yue Wang, et al.. (2019). SpyTag/SpyCatcher cyclization enhances the thermostability and organic solvent tolerance of l-phenylalanine aldolase. Biotechnology Letters. 41(8-9). 987–994. 26 indexed citations
19.
Wang, Yida. (2015). Methods of SAR image terrain recognition based on heat kernel features. Systems engineering and electronics. 1 indexed citations
20.
Wang, Yong, Li Chen, Yida Wang, et al.. (2014). Hemodynamic Study with Duplex Ultrasonography on Combined (Direct/Indirect) Revascularization in Adult Moyamoya Disease. Journal of Stroke and Cerebrovascular Diseases. 23(10). 2573–2579. 15 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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