Ying Meng
- Industrial and Manufacturing Engineering top 2%
- Artificial Intelligence
- Control and Systems Engineering top 10%
- Building and Construction top 10%
- Mechanical Engineering
- Topics
- Optimization and Packing Problems (14 papers)Advanced Manufacturing and Logistics Optimization (13 papers)Scheduling and Optimization Algorithms (12 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsIEEE Access
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ying Meng
48 papers receiving 503 citations
Peers
Comparison fields: 5 of 107
- Industrial and Manufacturing Engineering 163
- Artificial Intelligence 82
- Control and Systems Engineering 65
- Building and Construction 62
- Mechanical Engineering 44
Countries citing papers authored by Ying Meng
This map shows the geographic impact of Ying 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 Ying Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Meng more than expected).
Fields of papers citing papers by Ying Meng
This network shows the impact of papers produced by Ying 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 Ying Meng. The network helps show where Ying Meng may publish in the future.
Co-authorship network of co-authors of Ying Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Meng. A scholar is included among the top collaborators of Ying 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 Ying Meng. Ying Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 16 | |
| 12 | 7 | |
| 13 | 14 | |
| 14 | Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks | 2 |
| 15 | Diversity and Evolution of Urushiol in Anacardiaceae | 2 |
| 16 | Simulink platform in video image real-time diagnosis of maize disease. | 1 |
| 17 | Coupling Characteristic Analysis and Parameter Calculation of Ground and Above-Ground Shielded Cables Based on Transmission Line with a Distributed Source Model | 2 |
| 18 | Emulation of New Type Forward Pressure Control System for DTH Drill Based on AMESim | 1 |
| 19 | Research of Urban Traffic Flow Forecasting Based on Neural Network | 15 |
| 20 | COMBINATION OF OXIDATION AND ADSORPTION FOR TREATING WASTEWATER OF GAS FIELD | 0 |
About Ying Meng
Ying Meng is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Instrumentation, having authored 57 papers that have together received 518 indexed citations. Recurring topics across this work include Optimization and Packing Problems (14 papers), Advanced Manufacturing and Logistics Optimization (13 papers) and Scheduling and Optimization Algorithms (12 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (163 citations), Building and Construction (62 citations) and Transportation (27 citations). Ying Meng has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lixin Tang, Jiyin Liu, Ma Jun, Pengwei Wang, Zhi‐Long Chen, Zhaohui Zhang, Yang Shu, Jianhua Wang, Yan Xiang and Mingli Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Access.
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.