Meng Meng

411 total citations
36 papers, 249 citations indexed

About

Meng Meng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Meng Meng has authored 36 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Meng Meng's work include Speech Recognition and Synthesis (6 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Meng Meng is often cited by papers focused on Speech Recognition and Synthesis (6 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Meng Meng collaborates with scholars based in China, United States and France. Meng Meng's co-authors include Yongdong Zhang, Tianzhu Zhang, Feng Wu, Song‐Chun Zhu, Qi Tian, Mingtian Zhao, Yiding Wang, Hassen Drira, Yi Fang and Miao Jiang and has published in prestigious journals such as Advanced Materials, IEEE Transactions on Pattern Analysis and Machine Intelligence and Chemistry of Materials.

In The Last Decade

Meng Meng

31 papers receiving 241 citations

Peers

Meng Meng
Leiguang Gong United States
Yin Li China
Ziyi Wang China
Mei Chen United States
Meng Meng
Citations per year, relative to Meng Meng Meng Meng (= 1×) peers Inmaculada Tomeo-Reyes

Countries citing papers authored by Meng Meng

Since Specialization
Citations

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

Fields of papers citing papers by Meng Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Meng. A scholar is included among the top collaborators of Meng Meng 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 Meng. Meng Meng 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.
Yang, Zhiyu, Zhaopei Guo, Meng Meng, et al.. (2025). A Polymeric mRNA Vaccine Featuring Enhanced Site‐Specific mRNA Delivery and Inherent STING‐Stimulating Performance for Tumor Immunotherapy. Advanced Materials. 37(17). e2410998–e2410998. 9 indexed citations
2.
Meng, Meng, et al.. (2025). Correlation does not equal causation: the imperative of causal inference in machine learning models for immunotherapy. Frontiers in Immunology. 16. 1630781–1630781.
3.
Liu, Cuixia, Meng Meng, & Xian Luo. (2025). Composition Design and Property Prediction for AlCoCrCuFeNi High-Entropy Alloy Based on Machine Learning. Metals. 15(7). 733–733.
5.
Meng, Meng, et al.. (2024). Reference-Aware Adaptive Network for Image-Text Matching. IEEE Transactions on Circuits and Systems for Video Technology. 34(10). 9678–9691. 3 indexed citations
6.
Meng, Meng, Jie Chen, Zhaohui Tang, et al.. (2024). High-Throughput Screening of Polymer Library for mRNA Tumor Vaccine Carriers with Innate Adjuvant Properties. Chemistry of Materials. 36(5). 2473–2482. 8 indexed citations
7.
Song, Kun, et al.. (2023). The Xiaomi-ASLP Text-to-speech System for Blizzard Challenge 2023. 109–113. 1 indexed citations
8.
Meng, Meng, Tianzhu Zhang, Wenfei Yang, et al.. (2022). Diverse Complementary Part Mining for Weakly Supervised Object Localization. IEEE Transactions on Image Processing. 31. 1774–1788. 13 indexed citations
9.
Liu, Yang, Hangyu Sun, Hongye Li, et al.. (2022). Lipid metabolism-related genes as biomarkers and therapeutic targets reveal endometrial receptivity and immune microenvironment in women with reproductive dysfunction. Journal of Assisted Reproduction and Genetics. 39(9). 2179–2190. 9 indexed citations
10.
Wang, Qi, Fu Wang, Li Ding, et al.. (2022). Effect of aqueous environment on wear resistance of dental glass–ceramics. BMC Oral Health. 22(1). 143–143. 2 indexed citations
11.
Meng, Meng, Tianzhu Zhang, Qi Tian, Yongdong Zhang, & Feng Wu. (2021). Foreground Activation Maps for Weakly Supervised Object Localization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3365–3375. 45 indexed citations
12.
Li, Min, Ruiyang Tao, Wei Zhou, et al.. (2019). Validation studies of the ParaDNA ® Intelligence System with artificial evidence items. Forensic Sciences Research. 6(1). 84–91. 4 indexed citations
13.
Meng, Meng, Jens Meinicke, Chu-Pan Wong, Eric Walkingshaw, & Christian Kästner. (2017). A choice of variational stacks. 28–35. 8 indexed citations
14.
Zhao, et al.. (2015). Nanosurface chemistry and dose govern the bioaccumulation and toxicity of carbon nanotubes, metal nanomaterials and quantum dots in vivo. 中国科学通报:英文版. 3–20. 2 indexed citations
15.
Meng, Meng, et al.. (2015). Color removal method preserving local contrast. 28. 7–10. 2 indexed citations
16.
Meng, Meng & Bo He. (2014). Study on Deep Structure of Extreme Learning Machine (DS-ELM) for Datasets with Noise. Advanced materials research. 989-994. 3679–3682. 3 indexed citations
17.
Yan, Aixia, Zhi Wang, Jiaxuan Li, & Meng Meng. (2012). Human Oral Bioavailability Prediction of Four Kinds of Drugs. 3(4). 29–42. 1 indexed citations
18.
Meng, Meng, et al.. (2009). System combination based keyword-spotting method using complementary acoustic models. Acta Automatica Sinica. 35(1).
19.
Meng, Meng, et al.. (2009). A System Combination Based Keyword-spotting Method Using Complementary Acoustic Models. ACTA AUTOMATICA SINICA. 35(1). 39–45. 1 indexed citations
20.
Yang, Yang, et al.. (2006). FPGA PLACEMENT OPTIMIZATION BY TWO-STEP UNIFIED GENETIC ALGORITHM AND SIMULATED ANNEALING ALGORITHM. 电子科学学刊:英文版. 23(4). 632–636. 3 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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