Shuo Wang

5.1k total citations · 1 hit paper
138 papers, 3.2k citations indexed

About

Shuo Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Shuo Wang has authored 138 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 29 papers in Computer Vision and Pattern Recognition and 25 papers in Artificial Intelligence. Recurrent topics in Shuo Wang's work include Perovskite Materials and Applications (27 papers), Quantum Dots Synthesis And Properties (13 papers) and Conducting polymers and applications (12 papers). Shuo Wang is often cited by papers focused on Perovskite Materials and Applications (27 papers), Quantum Dots Synthesis And Properties (13 papers) and Conducting polymers and applications (12 papers). Shuo Wang collaborates with scholars based in China, United Kingdom and United States. Shuo Wang's co-authors include Xin Yao, Leandro L. Minku, Shuming Zhao, Jianwu Jiang, Huchuan Lu, Chengyan Wang, Xiang Ruan, Tiantian Wang, Gang Yang and Lihe Zhang and has published in prestigious journals such as Advanced Materials, Nature Medicine and Nature Communications.

In The Last Decade

Shuo Wang

120 papers receiving 3.1k citations

Hit Papers

Detect Globally, Refine Locally: A Novel Approach to Sali... 2018 2026 2020 2023 2018 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
Shuo Wang China 29 901 896 736 524 331 138 3.2k
Hongyan Liu China 24 382 0.4× 371 0.4× 610 0.8× 90 0.2× 112 0.3× 174 2.3k
Rizwan Ali Naqvi South Korea 35 740 0.8× 323 0.4× 818 1.1× 190 0.4× 60 0.2× 125 3.4k
Seung‐Chul Lee South Korea 41 268 0.3× 1.3k 1.4× 407 0.6× 660 1.3× 242 0.7× 348 6.2k
Mingxia Liu China 48 1.1k 1.2× 286 0.3× 1.6k 2.2× 335 0.6× 164 0.5× 246 6.8k
Kyung‐Tae Kim South Korea 36 366 0.4× 1.2k 1.4× 341 0.5× 192 0.4× 153 0.5× 306 4.2k
Xinlei Chen China 36 2.1k 2.3× 864 1.0× 1.6k 2.2× 125 0.2× 53 0.2× 192 5.2k
Zhenhui Li China 42 680 0.8× 445 0.5× 1.9k 2.5× 322 0.6× 70 0.2× 255 7.6k
Peng Yu China 32 431 0.5× 1.4k 1.6× 634 0.9× 49 0.1× 61 0.2× 468 4.7k
Xiaoming Liu China 37 1.5k 1.6× 296 0.3× 995 1.4× 168 0.3× 22 0.1× 324 4.3k
Sang‐Chul Lee South Korea 24 234 0.3× 632 0.7× 145 0.2× 406 0.8× 202 0.6× 163 2.6k

Countries citing papers authored by Shuo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuo Wang. A scholar is included among the top collaborators of Shuo 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 Shuo Wang. Shuo 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, Shuo, et al.. (2025). An improved YOLO algorithm for UAV detection in formation flight. Signal Image and Video Processing. 19(3).
2.
Yao, Jiaxi, Qi Bai, Yuan Huang, et al.. (2025). Artificial intelligence links CT images to pathologic features and survival outcomes of renal masses. Nature Communications. 16(1). 1425–1425. 5 indexed citations
3.
Zhang, Zhen, Quan‐Lin Li, Yan Zhu, et al.. (2025). Expert-AI Collaborative Training for Novice Endoscopists: A Path to Enhanced Efficiency. Bioengineering. 12(6). 582–582.
4.
Yang, Ruijie, Lili Chen, Shuyue Wang, et al.. (2025). Artificial intelligence assisted identification of newborn auricular deformities via smartphone application. EClinicalMedicine. 81. 103124–103124.
5.
Fu, Kexue, et al.. (2025). Tackling Ambiguity From Perspectives of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation. IEEE Transactions on Multimedia. 27. 9111–9124. 1 indexed citations
6.
Shi, Manman, et al.. (2024). Recent progress in doping engineering of perovskite oxides for photocatalytic green hydrogen production via water splitting. Physical Chemistry Chemical Physics. 27(2). 628–641. 2 indexed citations
7.
8.
Wang, Shuo, Xiaoming Zhang, Zhiqiang Ma, et al.. (2024). Engineering enzyme conformation within liquid-solid hybrid microreactors for enhanced continuous-flow biocatalysis. Nature Communications. 15(1). 10440–10440. 7 indexed citations
9.
Ning, Shuya, et al.. (2024). Remarkable emission enhancement of CsPbBr3 quantum dots based on an Ag nanoparticle-Ag film plasmonic coupling structure. Optics Express. 32(6). 9276–9276. 3 indexed citations
10.
Ding, Li, Dinghao Wu, Qi Wang, et al.. (2023). Fast-response and durable liquid metal wire for wearable electronics. Chemical Engineering Journal. 473. 145172–145172. 12 indexed citations
11.
Wang, Shuo, et al.. (2023). Effect of Peanut Protein Treated with Alkaline Protease and Flavorzyme on BALB/c Mice. Foods. 12(13). 2634–2634. 1 indexed citations
12.
Wang, Shuo, Minghua Li, Yanyan Zhang, et al.. (2023). Surface n-type band bending for stable inverted CsPbI3perovskite solar cells with over 20% efficiency. Energy & Environmental Science. 16(6). 2572–2578. 86 indexed citations
13.
Lyu, Jun, Guangyuan Li, Chengyan Wang, et al.. (2023). Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction. Medical Image Analysis. 85. 102760–102760. 27 indexed citations
14.
Wei, Tao, Angelica I. Avilés-Rivero, Shuo Wang, et al.. (2022). Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations. Medical Image Analysis. 82. 102618–102618. 16 indexed citations
15.
She, Xiao‐Jian, Chen Chen, Giorgio Divitini, et al.. (2020). A solvent-based surface cleaning and passivation technique for suppressing ionic defects in high-mobility perovskite field-effect transistors. Nature Electronics. 3(11). 694–703. 130 indexed citations
16.
Wang, Shuo, et al.. (2020). Research on sparsity of frequency modulated signal in fractional Fourier transform domain. Guangdian gongcheng. 47(11). 190660. 1 indexed citations
17.
Zhang, Y., Yang Zhong, Jing Liu, et al.. (2019). Polydopamine-modified dual-ligand nanoparticles as highly effective and targeted magnetic resonance/photoacoustic dual-modality thrombus imaging agents. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Wang, Xiaobo, Shuo Wang, Hailin Shi, Jun Wang, & Tao Mei. (2019). Co-Mining: Deep Face Recognition With Noisy Labels. 9357–9366. 77 indexed citations
19.
Lü, Tao, et al.. (2019). Object point cloud modeling method based on improved SIFT-ICP algorithm. 29(8). 750–757. 2 indexed citations
20.
Li, Chao, Shuo Wang, Jiun‐Lin Yan, et al.. (2018). Intratumoral Heterogeneity of Glioblastoma Infiltration Revealed by Joint Histogram Analysis of Diffusion Tensor Imaging. Neurosurgery. 85(4). 524–534. 29 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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