Wu Song

729 citations
19 papers · 554 · h-index 11

Impact in

Papers in

Wu Song

16 papers receiving 530 citations

Peers

Wu Song
Comparison fields: 5 of 60
  • Computational Theory and Mathematics 351
  • Artificial Intelligence 372
  • Industrial and Manufacturing Engineering 60
  • Numerical Analysis 19
  • Control and Systems Engineering 76
Replace Jason G. Digalakis with:
Jason G. Digalakis Greece
Ling-po Li China
Ruwang Jiao China
Yuanchao Liu China
Yintong Li China
Farid MiarNaeimi Iran
Xinfang Ji China
S. Tsutsui Japan
Jingda Deng Hong Kong
Karin Zielinski Germany
Wu Song relative to Jason G. Digalakis Greece Jason G. Digalakis's profile →
Citations per field
00.5×5.2×
Jason G. Digalakis · 1×
Citations per year

Countries citing papers authored by Wu Song

Since Specialization
Citations

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

Fields of papers citing papers by Wu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wu Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wu Song Line = papers co-authored together Wu Song links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2014164
2 2019145
3 201485
4 202226
5 200826
6 200521
7 200617
8 200515
9 200614
10 200513
11 200710
12 20208
13 20135
14 20252
15 20052
16 20211
17
Service description & matching supporting constraint specification
20070
18 20260
19 20210

About Wu Song

Wu Song is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering, having authored 19 papers that have together received 554 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Evolutionary Algorithms and Applications (4 papers), Silicon Carbide Semiconductor Technologies (3 papers), Vehicle Routing Optimization Methods (2 papers), Multilevel Inverters and Converters (2 papers), HVDC Systems and Fault Protection (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Computational Theory and Mathematics (351 citations), Artificial Intelligence (372 citations), Industrial and Manufacturing Engineering (60 citations), Numerical Analysis (19 citations) and Control and Systems Engineering (76 citations). Wu Song has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yong Wang, Han‐Xiong Li, Zhongwei Ma, Gary G. Yen, Zixing Cai, Alex Q. Huang, Lipo Wang, Kenli Li, Kazutoshi Nishimoto and Kazuyoshi Saida. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Science and Technology of Welding & Joining, IEEE Transactions on Semiconductor Manufacturing and Computer Integrated Manufacturing Systems.

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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