Wen Song
- Industrial and Manufacturing Engineering top 0.5%
- Control and Systems Engineering top 2%
- Economics and Econometrics top 2%
- Electrical and Electronic Engineering top 10%
- Environmental Engineering top 2%
- Topics
- Optimization and Variational Analysis (42 papers)Advanced Optimization Algorithms Research (28 papers)Fixed Point Theorems Analysis (17 papers)
- Cited by
- Industrial and Manufacturing EngineeringNumerical AnalysisManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionApplied Energy
- Partner nations
- ChinaSingaporeNetherlands
In The Last Decade
Wen Song
135 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Industrial and Manufacturing Engineering 847
- Control and Systems Engineering 514
- Economics and Econometrics 513
- Electrical and Electronic Engineering 497
- Environmental Engineering 437
Countries citing papers authored by Wen Song
This map shows the geographic impact of Wen Song'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 Wen Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Song more than expected).
Fields of papers citing papers by Wen Song
This network shows the impact of papers produced by Wen Song. 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 Wen Song. The network helps show where Wen Song may publish in the future.
Co-authorship network of co-authors of Wen Song
This figure shows the co-authorship network connecting the top 25 collaborators of Wen Song. A scholar is included among the top collaborators of Wen Song 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 Wen Song. Wen Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 24 | |
| 8 | 15 | |
| 9 | 10 | |
| 10 | Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learningbreakdown → | 241 |
| 11 | 30 | |
| 12 | Learning Improvement Heuristics for Solving Routing Problemsbreakdown → | 184 |
| 13 | 89 | |
| 14 | 122 | |
| 15 | 45 | |
| 16 | 5 | |
| 17 | 52 | |
| 18 | Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning | 1 |
| 19 | Learning Improvement Heuristics for Solving the Travelling Salesman Problem | 11 |
| 20 | 9 |
About Wen Song
Wen Song is a scholar working on Numerical Analysis, Industrial and Manufacturing Engineering and Computational Theory and Mathematics, having authored 145 papers that have together received 3.2k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (42 papers), Advanced Optimization Algorithms Research (28 papers) and Fixed Point Theorems Analysis (17 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (847 citations), Numerical Analysis (257 citations) and Management Science and Operations Research (435 citations). Wen Song has collaborated with scholars based in China, Singapore and Netherlands. Frequent co-authors include Zhiguang Cao, Qiqiang Li, Jie Zhang, Gongbing Bi, Liang Liang, Peng Zhou, Andrew Lim, Xinyang Chen, Yaoxin Wu and Liang Xin. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Applied Energy.
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.