Lang Wang

2.9k total citations · 1 hit paper
65 papers, 2.2k citations indexed

About

Lang Wang is a scholar working on Molecular Biology, Cancer Research and Electrical and Electronic Engineering. According to data from OpenAlex, Lang Wang has authored 65 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Cancer Research and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Lang Wang's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cervical Cancer and HPV Research (4 papers). Lang Wang is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cervical Cancer and HPV Research (4 papers). Lang Wang collaborates with scholars based in China, United States and Japan. Lang Wang's co-authors include Wenbo He, Xiaomei Yu, Hong Jiang, Dalong Hu, Jiali Zhou, Mingwei Bao, Huafen Liu, Hongliang Li, Lihua Zhu and Ling Yan and has published in prestigious journals such as Nature Communications, Nature Materials and Journal of Neuroscience.

In The Last Decade

Lang Wang

60 papers receiving 2.1k citations

Hit Papers

Coronavirus disease 2019 in elderly patients: Characteris... 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lang Wang China 22 647 529 485 324 186 65 2.2k
Dawei Wang China 24 795 1.2× 679 1.3× 403 0.8× 318 1.0× 53 0.3× 119 2.5k
Huan Li China 25 511 0.8× 500 0.9× 362 0.7× 255 0.8× 81 0.4× 180 2.6k
Bo Hu China 24 455 0.7× 291 0.6× 346 0.7× 165 0.5× 63 0.3× 123 2.1k
Suyeon Park South Korea 29 354 0.5× 340 0.6× 400 0.8× 417 1.3× 107 0.6× 286 3.4k
Md Asiful Islam Malaysia 29 338 0.5× 775 1.5× 234 0.5× 205 0.6× 179 1.0× 128 3.4k
Xiaohe Li China 27 803 1.2× 741 1.4× 316 0.7× 272 0.8× 64 0.3× 132 2.9k
Yiming Li China 22 1.0k 1.6× 517 1.0× 505 1.0× 269 0.8× 45 0.2× 74 2.8k
Qiang Liu China 21 656 1.0× 411 0.8× 502 1.0× 172 0.5× 164 0.9× 100 2.7k
Yuping Wang China 19 662 1.0× 367 0.7× 397 0.8× 348 1.1× 114 0.6× 79 1.9k
Yancheng Xu China 27 427 0.7× 704 1.3× 217 0.4× 185 0.6× 50 0.3× 119 2.4k

Countries citing papers authored by Lang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lang Wang. A scholar is included among the top collaborators of Lang 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 Lang Wang. Lang 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
2.
Wang, Lang, Chen Zhao, Liqiang Zhang, et al.. (2024). Aluminium surface work hardening enables multi-scale 3D lithography. Nature Materials. 24(1). 39–47. 16 indexed citations
3.
Pan, Yi, Shuhao Wang, Lang Wang, et al.. (2024). Clinically Applicable Pan-Origin Cancer Detection for Lymph Nodes via Artificial Intelligence-Based Pathology. Pathobiology. 91(5). 345–358. 1 indexed citations
4.
Jiang, Peng, Hui Shen, Yuqi Chen, et al.. (2023). A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis. Artificial Intelligence Review. 56(S2). 2687–2758. 34 indexed citations
5.
Field, Jeffrey J., et al.. (2023). Aberration free synthetic aperture second harmonic generation holography. Optics Express. 31(20). 32434–32434. 10 indexed citations
6.
Zhang, Liqiang, Lang Wang, Jiye Li, et al.. (2022). Surface Engineering of Laser-Induced Graphene Enables Long-Term Monitoring of On-Body Uric Acid and pH Simultaneously. Nano Letters. 22(13). 5451–5458. 62 indexed citations
8.
Qiao, Yu, Lang Wang, Jing Wang, et al.. (2021). Effects of carotid baroreceptor stimulation on aortic remodeling in obese rats. Nutrition Metabolism and Cardiovascular Diseases. 31(5). 1635–1644. 3 indexed citations
9.
Yao, Rui, Lang Wang, Dawei Wang, et al.. (2021). CRISPR-Cas13a-Based Detection for Bovine Viral Diarrhea Virus. Frontiers in Veterinary Science. 8. 603919–603919. 14 indexed citations
10.
Yu, Xiaomei, Wenbo He, Lang Wang, et al.. (2020). Profiles of liver function abnormalities in elderly patients with Coronavirus Disease 2019. International Journal of Clinical Practice. 75(3). e13632–e13632. 5 indexed citations
11.
Wang, Lang, Wenbo He, Xiaomei Yu, Dalong Hu, & Hong Jiang. (2020). Prolonged prothrombin time at admission predicts poor clinical outcome in COVID-19 patients. World Journal of Clinical Cases. 8(19). 4370–4379. 31 indexed citations
12.
Wang, Lang, Wenbo He, Xiaomei Yu, et al.. (2020). Coronavirus disease 2019 in elderly patients: Characteristics and prognostic factors based on 4-week follow-up. Journal of Infection. 80(6). 639–645. 849 indexed citations breakdown →
13.
Zhang, Shumin, Lihua Zhu, Hou‐Zao Chen, et al.. (2014). Interferon regulatory factor 9 is critical for neointima formation following vascular injury. Nature Communications. 5(1). 5160–5160. 60 indexed citations
14.
Chen, Hou‐Zao, Sen Guo, Ran Zhang, et al.. (2014). A Critical Role for Interferon Regulatory Factor 9 in Cerebral Ischemic Stroke. Journal of Neuroscience. 34(36). 11897–11912. 55 indexed citations
15.
Guan, Hongjing, Li Zhu, Yuanyuan Guo, et al.. (2012). Indole-3-carbinol blocks platelet-derived growth factor-stimulated vascular smooth muscle cell function and reduces neointima formation in vivo. The Journal of Nutritional Biochemistry. 24(1). 62–69. 11 indexed citations
16.
Zhu, Lihua, Yarong Hao, Hongjing Guan, et al.. (2012). Effect of sinomenine on vascular smooth muscle cell dedifferentiation and neointima formation after vascular injury in mice. Molecular and Cellular Biochemistry. 373(1-2). 53–62. 16 indexed citations
17.
Pu, Peng, Xinan Wang, Mohamed Salim, et al.. (2012). Baicalein, a natural product, selectively activating AMPKα2 and ameliorates metabolic disorder in diet-induced mice. Molecular and Cellular Endocrinology. 362(1-2). 128–138. 105 indexed citations
18.
Wang, Lang, Shan Deng, Yan Zhang, et al.. (2012). SHPS‐1 deficiency induces robust neuroprotection against experimental stroke by attenuating oxidative stress. Journal of Neurochemistry. 122(4). 834–843. 34 indexed citations
19.
Chen, Jing, Hong Jiang, Lihua Zhu, Lang Wang, & Lin Xu. (2009). Downregulation of CREB-binding protein expression sensitizes endothelial cells to serum-deprived apoptosis: important role of nitric oxide. Molecular and Cellular Biochemistry. 337(1-2). 159–166. 4 indexed citations
20.
Wang, Lang, et al.. (1979). An epidemic of gastroenteritis in Auckland 1978.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 90(644). 233–5. 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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