Meng Wang

42.7k total citations · 17 hit papers
901 papers, 28.0k citations indexed

About

Meng Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Meng Wang has authored 901 papers receiving a total of 28.0k indexed citations (citations by other indexed papers that have themselves been cited), including 542 papers in Computer Vision and Pattern Recognition, 274 papers in Artificial Intelligence and 89 papers in Information Systems. Recurrent topics in Meng Wang's work include Advanced Image and Video Retrieval Techniques (209 papers), Image Retrieval and Classification Techniques (119 papers) and Multimodal Machine Learning Applications (112 papers). Meng Wang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (209 papers), Image Retrieval and Classification Techniques (119 papers) and Multimodal Machine Learning Applications (112 papers). Meng Wang collaborates with scholars based in China, Singapore and United States. Meng Wang's co-authors include Richang Hong, Tat‐Seng Chua, Xian‐Sheng Hua, Zheng-Jun Zha, Dacheng Tao, Xiangnan He, Shuicheng Yan, Yongdong Zhang, Le Wu and Xiang Wang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Meng Wang

832 papers receiving 27.5k citations

Hit Papers

LightGCN 2009 2026 2014 2020 2020 2012 2015 2014 2020 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Wang China 84 16.8k 9.9k 5.3k 2.0k 1.6k 901 28.0k
Xindong Wu China 67 9.5k 0.6× 14.2k 1.4× 6.3k 1.2× 1.5k 0.8× 1.2k 0.8× 655 28.3k
Yongdong Zhang China 68 11.1k 0.7× 7.5k 0.8× 3.7k 0.7× 1.3k 0.6× 1.0k 0.6× 645 22.3k
Zhi‐Hua Zhou China 80 13.3k 0.8× 22.7k 2.3× 4.9k 0.9× 1.7k 0.9× 1.2k 0.7× 399 38.5k
Qinghua Hu China 68 9.3k 0.6× 8.7k 0.9× 4.0k 0.8× 2.1k 1.1× 835 0.5× 431 23.1k
Wei Liu China 80 18.2k 1.1× 7.5k 0.8× 1.3k 0.2× 2.8k 1.4× 1.3k 0.8× 819 26.8k
Quoc V. Le United States 64 13.4k 0.8× 18.0k 1.8× 2.0k 0.4× 1.4k 0.7× 990 0.6× 135 31.6k
Jason Weston United States 56 9.8k 0.6× 16.2k 1.6× 2.1k 0.4× 1.4k 0.7× 974 0.6× 144 31.7k
Tat‐Seng Chua Singapore 84 15.3k 0.9× 14.0k 1.4× 7.4k 1.4× 1.0k 0.5× 583 0.4× 697 28.8k
John Platt United States 44 8.3k 0.5× 12.4k 1.3× 2.1k 0.4× 1.2k 0.6× 1.5k 0.9× 170 27.4k
Christopher J. C. Burges United States 27 7.4k 0.4× 9.5k 1.0× 2.1k 0.4× 1.4k 0.7× 1.3k 0.8× 43 23.5k

Countries citing papers authored by Meng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Meng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Wang. A scholar is included among the top collaborators of Meng 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 Meng Wang. Meng 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, Meng, et al.. (2025). CPLOYO: A pulmonary nodule detection model with multi-scale feature fusion and nonlinear feature learning. Alexandria Engineering Journal. 122. 578–587.
2.
Wang, Meng, et al.. (2025). NLRP3 Mediates NOXs-Induced Iron Overload and Inflammation but Not Oxidative Damage in Colons of DSS-Treated Mice. Journal of Inflammation Research. Volume 18. 4695–4708. 1 indexed citations
3.
Liu, Ajian, et al.. (2025). Domain Generalization for Face Anti-Spoofing via Content-Aware Composite Prompt Engineering. IEEE Transactions on Multimedia. 28. 102–113.
4.
Wang, Meng, et al.. (2024). Automatic detection of tunnel lining crack based on mobile image acquisition system and deep learning ensemble model. Tunnelling and Underground Space Technology. 154. 106124–106124. 12 indexed citations
5.
Wang, Meng, et al.. (2024). Star Map Recognition and Matching Based on Deep Triangle Model. 1–18. 1 indexed citations
6.
Wang, Yihe, Dong Li, Shuo Sun, et al.. (2024). Realization of Two‐Dimensional Intrinsic Polar Metal in a Buckled Honeycomb Binary Lattice. Advanced Materials. 36(36). e2404341–e2404341. 2 indexed citations
7.
Zuo, Zhichao, Zhao Zhang, Yang Zhao, et al.. (2024). Cut-and-Paste: Subject-driven video editing with attention control. Neural Networks. 181. 106818–106818.
8.
Chen, Tong, et al.. (2024). Lightweight Embeddings for Graph Collaborative Filtering. 1296–1306. 4 indexed citations
9.
Wang, Meng, et al.. (2023). Improved capsule networks based on Nash equilibrium for malicious code classification. Computers & Security. 136. 103503–103503. 1 indexed citations
10.
Guo, Hongliang, et al.. (2023). Online trajectory optimization for safe autonomous overtaking with active obstacle avoidance. Robotics and Autonomous Systems. 169. 104528–104528. 7 indexed citations
11.
Yang, Liang, Rong Jiang, Chenguang Wang, et al.. (2023). An access control model based on blockchain master-sidechain collaboration. Cluster Computing. 27(1). 477–497. 11 indexed citations
12.
Zeng, Xiaobo, et al.. (2023). A theoretical model for calculating particle trajectory in a vane-type separator. Process Safety and Environmental Protection. 194. 529–541. 3 indexed citations
13.
Wang, Meng, et al.. (2023). Association between glaucoma and risk of stroke: A systematic review and meta-analysis. Frontiers in Neurology. 13. 1034976–1034976. 2 indexed citations
14.
Zhang, Zhao, et al.. (2023). Fast data-free model compression via dictionary-pair reconstruction. Knowledge and Information Systems. 65(8). 3435–3461. 1 indexed citations
15.
Li, Kun, Dan Guo, & Meng Wang. (2023). ViGT: proposal-free video grounding with a learnable token in the transformer. Science China Information Sciences. 66(10). 33 indexed citations
16.
Chen, Jiemin, et al.. (2023). Predicting visual acuity with machine learning in treated ocular trauma patients. International Journal of Ophthalmology. 16(7). 1005–1014.
17.
Cui, Chaoran, et al.. (2023). Temporal-Relational hypergraph tri-Attention networks for stock trend prediction. Pattern Recognition. 143. 109759–109759. 22 indexed citations
18.
Bao, Liying, Lai Chen, Nan Qi, et al.. (2023). Accelerated aging of lithium-ion batteries: bridging battery aging analysis and operational lifetime prediction. Science Bulletin. 68(23). 3055–3079. 71 indexed citations
19.
Zhang, Yong, et al.. (2021). Semi-Autoregressive Transformer for Image Captioning. 3132–3136. 31 indexed citations
20.
Li, Xiaoming, Wenyu Li, Dongwei Ren, et al.. (2020). Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion. 2703–2712. 72 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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