Wen Song

5.3k total citations · 4 hit papers
145 papers, 3.2k citations indexed

About

Wen Song is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Numerical Analysis. According to data from OpenAlex, Wen Song has authored 145 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computational Theory and Mathematics, 34 papers in Industrial and Manufacturing Engineering and 28 papers in Numerical Analysis. Recurrent topics in Wen Song's work include Optimization and Variational Analysis (42 papers), Advanced Optimization Algorithms Research (28 papers) and Fixed Point Theorems Analysis (17 papers). Wen Song is often cited by papers focused on Optimization and Variational Analysis (42 papers), Advanced Optimization Algorithms Research (28 papers) and Fixed Point Theorems Analysis (17 papers). Wen Song collaborates with scholars based in China, Singapore and Netherlands. Wen Song's co-authors include Zhiguang Cao, Qiqiang Li, Jie Zhang, Gongbing Bi, Liang Liang, Peng Zhou, Andrew Lim, Xinyang Chen, Yaoxin Wu and Liang Xin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Wen Song

135 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model

2013 359 citations Wen Song et al. profile →
Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning

2022 241 citations Wen Song, Xinyang Chen et al. IEEE Transactions on Industrial Informatics profile →
Dual-Aspect Self-Attention Based on Transformer for Remaining Useful Life Prediction

2022 193 citations Wen Song, Qiqiang Li et al. profile →
Learning Improvement Heuristics for Solving Routing Problems

2021 184 citations Yaoxin Wu, Wen Song et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wen Song China	28	847	514	513	497	437	145	3.2k
Pei‐Chann Chang Taiwan	49	2.0k 2.4×	506 1.0×	464 0.9×	722 1.5×	206 0.5×	200	6.2k
Mariagrazia Dotoli Italy	40	1.2k 1.4×	1.3k 2.5×	142 0.3×	1.3k 2.7×	185 0.4×	249	5.0k
R.J. Kuo Taiwan	42	1.1k 1.3×	615 1.2×	180 0.4×	455 0.9×	87 0.2×	160	5.8k
Patrick Jaillet United States	33	1.6k 1.9×	442 0.9×	225 0.4×	251 0.5×	75 0.2×	152	4.3k
Ripon K. Chakrabortty Australia	46	856 1.0×	773 1.5×	154 0.3×	1.5k 2.9×	139 0.3×	206	6.0k
Anton J. Kleywegt United States	21	1.3k 1.5×	530 1.0×	200 0.4×	267 0.5×	57 0.1×	42	3.9k
Feng Chu France	42	3.6k 4.2×	848 1.6×	161 0.3×	268 0.5×	243 0.6×	239	5.7k
Qunxiong Zhu China	34	271 0.3×	2.1k 4.1×	145 0.3×	533 1.1×	362 0.8×	242	4.2k
David L. Woodruff United States	36	1.4k 1.7×	1.1k 2.1×	133 0.3×	1.4k 2.9×	112 0.3×	99	5.6k
Wei‐Chang Yeh Taiwan	46	950 1.1×	830 1.6×	135 0.3×	821 1.7×	56 0.1×	286	6.9k

Countries citing papers authored by Wen Song

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Song, Wen, et al.. (2024). A novel local enhanced channel self-attention based on Transformer for industrial remaining useful life prediction. Engineering Applications of Artificial Intelligence. 141. 109815–109815. 11 indexed citations

Song, Wen, et al.. (2024). Scheduling of twin automated stacking cranes based on Deep Reinforcement Learning. Computers & Industrial Engineering. 191. 110104–110104. 3 indexed citations

Fan, Mingfeng, Yaoxin Wu, Zhiguang Cao, et al.. (2024). Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4677–4689. 4 indexed citations

Li, Xiaoli, et al.. (2024). Recognition of Radix Bupleuri origin using laser-induced breakdown spectroscopy (LIBS) combined with deep learning and machine learning algorithms. Microchemical Journal. 207. 111946–111946. 4 indexed citations

Song, Wen, et al.. (2023). Deep Reinforcement Learning for Dynamic Twin Automated Stacking Cranes Scheduling Problem. Electronics. 12(15). 3288–3288. 3 indexed citations

Song, Wen, Yue Wang, Qiannan Sun, et al.. (2023). Predictive value of C-reactive protein, procalcitonin, and interleukin-6 on 30-day mortality in patients with bloodstream infections. Medicina Clínica (English Edition). 160(12). 540–546. 2 indexed citations

Song, Wen, et al.. (2023). Container stacking optimization based on Deep Reinforcement Learning. Engineering Applications of Artificial Intelligence. 123. 106508–106508. 24 indexed citations

Li, Jingwen, Yining Ma, Zhiguang Cao, et al.. (2023). Learning Feature Embedding Refiner for Solving Vehicle Routing Problems. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 15279–15291. 15 indexed citations

Song, Wen, et al.. (2023). Stochastic Economic Lot Scheduling via Self-Attention Based Deep Reinforcement Learning. IEEE Transactions on Automation Science and Engineering. 21(2). 1457–1468. 10 indexed citations

10.

Song, Wen, Xinyang Chen, Qiqiang Li, & Zhiguang Cao. (2022). Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning. IEEE Transactions on Industrial Informatics. 19(2). 1600–1610. 241 indexed citations breakdown →

11.

Zhang, Cong, Zhiguang Cao, Wen Song, et al.. (2022). Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. 24(1). 1325–1336. 30 indexed citations

12.

Wu, Yaoxin, Wen Song, Zhiguang Cao, Jie Zhang, & Andrew Lim. (2021). Learning Improvement Heuristics for Solving Routing Problems. IEEE Transactions on Neural Networks and Learning Systems. 33(9). 5057–5069. 184 indexed citations breakdown →

13.

Li, Jingwen, Liang Xin, Zhiguang Cao, et al.. (2021). Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. 23(3). 2306–2315. 89 indexed citations

14.

Li, Jingwen, Yining Ma, Ruize Gao, et al.. (2021). Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. IEEE Transactions on Cybernetics. 52(12). 13572–13585. 122 indexed citations

15.

Ma, Chao, Zhenbing Liu, Zhiguang Cao, et al.. (2020). Cost-sensitive deep forest for price prediction. Pattern Recognition. 107. 107499–107499. 45 indexed citations

16.

Cao, Zhiguang, Hongliang Guo, Wen Song, et al.. (2020). Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach. IEEE Transactions on Intelligent Transportation Systems. 22(10). 6353–6364. 5 indexed citations

17.

Cao, Zhiguang, Hongliang Guo, Wen Song, et al.. (2020). Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation. IEEE Transactions on Vehicular Technology. 69(3). 2424–2436. 52 indexed citations

18.

Zhang, Cong, et al.. (2020). Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 33. 1621–1632. 1 indexed citations

19.

Wu, Yaoxin, Wen Song, Zhiguang Cao, Jie Zhang, & Andrew Lim. (2019). Learning Improvement Heuristics for Solving the Travelling Salesman Problem. arXiv (Cornell University). 11 indexed citations

20.

Song, Wen, et al.. (2019). Optimality Conditions for Rank-Constrained Matrix Optimization. Journal of the Operations Research Society of China. 7(2). 285–301. 9 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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