Lingxiao Wang

4.8k total citations
132 papers, 2.0k citations indexed

About

Lingxiao Wang is a scholar working on Artificial Intelligence, Biomedical Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, Lingxiao Wang has authored 132 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Biomedical Engineering and 12 papers in Nuclear and High Energy Physics. Recurrent topics in Lingxiao Wang's work include High-Energy Particle Collisions Research (11 papers), Pulsars and Gravitational Waves Research (8 papers) and Quantum Chromodynamics and Particle Interactions (8 papers). Lingxiao Wang is often cited by papers focused on High-Energy Particle Collisions Research (11 papers), Pulsars and Gravitational Waves Research (8 papers) and Quantum Chromodynamics and Particle Interactions (8 papers). Lingxiao Wang collaborates with scholars based in China, United States and Germany. Lingxiao Wang's co-authors include Guangheng Dong, Xiaoxia Du, Kai Zhou, Quanquan Gu, Marc N. Potenza, Shuzhe Shi, Kai Yin, Lingdan Wu, Yifan Wang and Miryung Kim and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Lingxiao Wang

125 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingxiao Wang China 26 378 295 182 182 174 132 2.0k
Christian Herrmann Germany 26 322 0.9× 114 0.4× 122 0.7× 24 0.1× 198 1.1× 172 2.2k
Tom Booth United Kingdom 30 154 0.4× 63 0.2× 598 3.3× 48 0.3× 167 1.0× 138 3.1k
Richard Harvey United Kingdom 23 194 0.5× 193 0.7× 164 0.9× 60 0.3× 135 0.8× 110 2.2k
Wenwen Li China 18 122 0.3× 186 0.6× 74 0.4× 25 0.1× 114 0.7× 67 2.1k
Jane Alty United Kingdom 27 56 0.1× 350 1.2× 469 2.6× 139 0.8× 67 0.4× 199 2.5k
Theodoros N. Arvanitis United Kingdom 36 76 0.2× 275 0.9× 230 1.3× 68 0.4× 54 0.3× 223 3.9k
Christopher G. Lucas United Kingdom 18 208 0.6× 1000 3.4× 429 2.4× 14 0.1× 80 0.5× 56 3.4k
Davide Castelvecchi United States 17 124 0.3× 790 2.7× 105 0.6× 57 0.3× 22 0.1× 258 2.6k
Lars Häll United Kingdom 35 315 0.8× 65 0.2× 842 4.6× 822 4.5× 20 0.1× 201 4.3k
Ian Johnson United Kingdom 26 56 0.1× 479 1.6× 190 1.0× 164 0.9× 113 0.6× 147 4.1k

Countries citing papers authored by Lingxiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lingxiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingxiao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lingxiao Wang. A scholar is included among the top collaborators of Lingxiao 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 Lingxiao Wang. Lingxiao 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.
Liu, Jingge, Junze Zhang, Jing Liu, et al.. (2025). A scalable flexible strain sensor with adaptive response capability to varying microenvironments for digital healthcare. Composites Science and Technology. 261. 111034–111034. 5 indexed citations
2.
Wang, Lingxiao, Shiguang Yang, Jie Li, et al.. (2025). YAP-activated NAT10 promotes hepatoblastoma progression by activating the pentose phosphate pathway. International Journal of Biological Sciences. 21(6). 2864–2879. 1 indexed citations
3.
Aarts, Gert, et al.. (2025). On learning higher-order cumulants in diffusion models. Machine Learning Science and Technology. 6(2). 25004–25004. 1 indexed citations
4.
Huang, Guanying, Dezhi Li, Shenghua Zhou, et al.. (2025). Public opinion on smart infrastructure in China: Evidence from social media. Utilities Policy. 93. 101886–101886. 15 indexed citations
5.
Wang, Lingxiao. (2025). Deep learning for exploring hadron–hadron interactions. 3. 100024–100024. 1 indexed citations
6.
Aarts, Gert, Kenji Fukushima, Tetsuo Hatsuda, et al.. (2025). Physics-driven learning for inverse problems in quantum chromodynamics. Nature Reviews Physics. 7(3). 154–163. 15 indexed citations
7.
He, Yilin, et al.. (2024). BMP2 enhance the osteogenic effect of BMSCs-derived exosomes in skull defect of diabetic rats. Materials & Design. 248. 113517–113517. 2 indexed citations
8.
Stoecker, Horst, et al.. (2024). Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks. Journal of the Franklin Institute. 361(6). 106671–106671. 14 indexed citations
9.
Liu, Yao, Kai Yin, Pengyu Yang, et al.. (2024). Femtosecond laser turn droplets controllable bouncing. Optics & Laser Technology. 175. 110791–110791. 4 indexed citations
10.
11.
Wang, Lingxiao, Shuzhe Shi, & Kai Zhou. (2023). Unsupervised learning spectral functions with neural networks. Journal of Physics Conference Series. 2586(1). 12158–12158. 1 indexed citations
12.
Wang, Lingxiao, et al.. (2023). Noninvasive optical monitoring of pulmonary embolism: a Monte Carlo study on visible Chinese human thoracic tissues. Journal of Biomedical Optics. 28(1). 15001–15001. 2 indexed citations
13.
Zhou, Kai, Lingxiao Wang, Long-Gang Pang, & Shuzhe Shi. (2023). Exploring QCD matter in extreme conditions with Machine Learning. Progress in Particle and Nuclear Physics. 135. 104084–104084. 50 indexed citations
14.
Wang, Lingxiao, Lijia Jiang, & Kai Zhou. (2022). Learning Langevin dynamics with QCD phase transition. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Wang, Lingxiao, et al.. (2021). Extraction Method of Island buildings in Remote Sensing Images Based on Improved DeepLabv3plus Algorithm. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Peng, Yang, Guo‐Chao Zhong, Lingxiao Wang, et al.. (2020). Chronic obstructive pulmonary disease, lung function and risk of type 2 diabetes: a systematic review and meta-analysis of cohort studies. BMC Pulmonary Medicine. 20(1). 137–137. 17 indexed citations
17.
Guan, Lijuan, et al.. (2019). Investigation of chronic disease and geriatric syndrome in hospitalized elderly patients with multimorbidity. Zhonghua laonian yixue zazhi. 38(2). 176–180.
18.
Wang, Lingxiao, Gaoqing Cao, Xu-Guang Huang, & Pengfei Zhuang. (2018). Nambu–Jona-Lasinio model in a parallel electromagnetic field. Physics Letters B. 780. 273–282. 18 indexed citations
19.
Wang, Lingxiao, et al.. (2016). The relationship between public expenditure and economic growth in Romania: Does it obey Wagner’s or Keynes’s Law?. Economie teoretică şi aplicată. 41–52. 18 indexed citations
20.
Wang, Lingxiao. (2011). Unscented Kalman filter with Doppler frequency. Jisuanji yingyong yanjiu. 1 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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