Meng Yang

1.9k total citations
48 papers, 1.1k citations indexed

About

Meng Yang is a scholar working on Molecular Biology, Cancer Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Meng Yang has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Meng Yang's work include Face and Expression Recognition (7 papers), MicroRNA in disease regulation (5 papers) and Hepatitis B Virus Studies (5 papers). Meng Yang is often cited by papers focused on Face and Expression Recognition (7 papers), MicroRNA in disease regulation (5 papers) and Hepatitis B Virus Studies (5 papers). Meng Yang collaborates with scholars based in China, United Kingdom and United States. Meng Yang's co-authors include Licheng Jiao, Shuhao Wang, Yahui Jiang, Xiangchun Li, Ronghua Shang, Yan Sun, Shuyuan Yang, Wenya Zhang, Fanhua Shang and You Wang and has published in prestigious journals such as Experimental Cell Research, Pattern Recognition and Anesthesia & Analgesia.

In The Last Decade

Meng Yang

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Yang China 16 265 253 225 189 185 48 1.1k
Rizwan Qureshi Pakistan 18 165 0.6× 174 0.7× 274 1.2× 168 0.9× 100 0.5× 90 1.4k
Hantao Yao China 19 382 1.4× 1.1k 4.2× 173 0.8× 83 0.4× 89 0.5× 62 1.7k
Mohammad Hossein Rohban Iran 15 336 1.3× 324 1.3× 282 1.3× 176 0.9× 15 0.1× 56 1.4k
Xianli Zhang China 17 356 1.3× 148 0.6× 198 0.9× 115 0.6× 46 0.2× 58 953
Shizhou Zhang China 15 137 0.5× 292 1.2× 157 0.7× 17 0.1× 91 0.5× 60 770
Xin Luo China 13 171 0.6× 186 0.7× 358 1.6× 130 0.7× 201 1.1× 43 791
Wei Shao China 24 547 2.1× 270 1.1× 487 2.2× 528 2.8× 154 0.8× 105 1.8k
Siqi Li China 16 170 0.6× 121 0.5× 199 0.9× 280 1.5× 74 0.4× 85 900
Jixiang Guo China 17 235 0.9× 258 1.0× 44 0.2× 534 2.8× 16 0.1× 72 999
Keerthana Prasad India 21 516 1.9× 512 2.0× 114 0.5× 489 2.6× 22 0.1× 74 1.3k

Countries citing papers authored by Meng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Meng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Yang. A scholar is included among the top collaborators of Meng Yang 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 Meng Yang. Meng Yang 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.
Ye, Ling, et al.. (2025). HBcrAg Dynamic Change During Treatment Predicts HBsAg Loss in Pediatric Patients With Chronic Hepatitis B. Journal of Medical Virology. 97(4). e70350–e70350.
2.
Li, Shuangjie, et al.. (2025). Coexistence of hepatitis B e antigen and antibody during antiviral treatment predicts better clinical outcomes in children. Journal of Pediatric Gastroenterology and Nutrition. 81(5). 1251–1259.
3.
Xu, Ying, Meng Yang, Yongfeng Xu, Junhong Han, & Qing Zhu. (2025). Epigenetic mechanisms in non-small cell lung cancer therapy and chemoresistance. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1880(4). 189356–189356.
4.
Liu, Ye & Meng Yang. (2025). SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning. 25643–25656. 1 indexed citations
5.
Li, Sisi, et al.. (2025). Real-world effectiveness of initial antiviral regimens in children with chronic hepatitis B: an age-stratified cohort study. EClinicalMedicine. 88. 103478–103478. 1 indexed citations
6.
Yang, Meng, et al.. (2024). Characterization of SCOBY-fermented kombucha from different regions and its effect on improving blood glucose. Food Bioscience. 61. 104946–104946. 3 indexed citations
8.
Yang, Meng, et al.. (2024). Bifidobacterium bifidum alleviates adenine-induced acute kidney injury in mice by improving intestinal barrier function. Food & Function. 15(15). 8030–8042. 5 indexed citations
10.
Li, Tingting, Yixuan Han, Li Yang, et al.. (2024). Paediatric pancreatic acinar cell carcinoma with a novel SEC31A-BRAF fusion gene. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 485(4). 743–747.
11.
Xiao, Ran, et al.. (2021). Identification of Five Immune-Related lncRNAs Predicting Survival and Tumor Microenvironment Characteristics in Breast Cancer. Computational and Mathematical Methods in Medicine. 2021. 1–12. 16 indexed citations
12.
Jiang, Yahui, Meng Yang, Shuhao Wang, Xiangchun Li, & Yan Sun. (2020). Emerging role of deep learning‐based artificial intelligence in tumor pathology. Cancer Communications. 40(4). 154–166. 290 indexed citations
13.
Li, Peiting, et al.. (2020). Association between metabolic syndrome and prognosis of breast cancer: a meta-analysis of follow-up studies. Diabetology & Metabolic Syndrome. 12(1). 10–10. 25 indexed citations
14.
Zhang, Ming, You Wang, Wei Zhang, et al.. (2020). Inductive conformal prediction for silent speech recognition. Journal of Neural Engineering. 17(6). 66019–66019. 14 indexed citations
15.
Yang, Meng, Ronghua Shang, Fanhua Shang, et al.. (2019). Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation. IEEE Transactions on Neural Networks and Learning Systems. 31(9). 3245–3258. 59 indexed citations
16.
Guo, Meng, Tingting Liu, Peiting Li, et al.. (2019). Association Between Metabolic Syndrome and Breast Cancer Risk: An Updated Meta-Analysis of Follow-Up Studies. Frontiers in Oncology. 9. 1290–1290. 29 indexed citations
17.
Hu, Menglong, et al.. (2019). Network meta-analysis on the effect of desensitizing toothpastes on dentine hypersensitivity. Journal of Dentistry. 88. 103170–103170. 40 indexed citations
18.
Wang, Xi, Guojun Zhang, Zhe Cheng, et al.. (2018). Knockdown of LncRNA-XIST Suppresses Proliferation and TGF-β1-Induced EMT in NSCLC Through the Notch-1 Pathway by Regulation of miR-137. Genetic Testing and Molecular Biomarkers. 22(6). 333–342. 61 indexed citations
19.
Liu, Yulan, Meng Yang, Lu Wang, et al.. (2018). Associations between the <em>NUDT15&nbsp;</em>R139C polymorphism and susceptibility to thiopurine-induced leukopenia in Asians: a meta-analysis. OncoTargets and Therapy. Volume 11. 8309–8317. 31 indexed citations
20.
Shi, Xiaoqing, et al.. (2018). The possible association between the presence of an MPO −463 G > A (rs2333227) polymorphism and cervical cancer risk. Pathology - Research and Practice. 214(8). 1142–1148. 7 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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