Wenyan Song

3.5k citations
77 papers · 2.7k indexed · 1 hit paper · h-index 30

Wenyan Song

73 papers receiving 2.6k citations

Hit Papers

Leveraging digital capabilities toward a circular economy...159202320262024202550100150

Peers

Wenyan Song
Comparison fields: 5 of 124
  • Management Science and Operations Research 1.2k
  • Management of Technology and Innovation 537
  • Strategy and Management 920
  • Statistics, Probability and Uncertainty 419
  • Management Information Systems 302
Replace Ching‐Torng Lin with:
Ching‐Torng Lin Taiwan
Xiao‐Yue You China
Huai-Wei Lo Taiwan
Xinguo Ming China
Selçuk Çebi Türkiye
Başar Öztayşi Türkiye
Huan‐Jyh Shyur Taiwan
Dinesh Kumar India
Zhen He China
Seyed Meysam Mousavi Iran
Wenyan Song relative to Ching‐Torng Lin Taiwan Ching‐Torng Lin's profile →
Citations per field
00.5×3.0×
Ching‐Torng Lin · 1×
Citations per year

Countries citing papers authored by Wenyan Song

Since Specialization
Citations

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

Fields of papers citing papers by Wenyan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Wenyan 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 Wenyan Song Line = papers co-authored together Wenyan Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20256
4 20243
5 20244
6 20248
7 202315
8 202319
9 20227
10 202213
11 20205
12 202028
13 2019164
14 20187
15 20165
16 2016151
17 201456
18 20139
19 20139
20 20107

About Wenyan Song

Wenyan Song is a scholar working on Management of Technology and Innovation, Management Science and Operations Research and Strategy and Management, having authored 77 papers that have together received 2.7k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (28 papers), Sustainable Supply Chain Management (20 papers), Quality Function Deployment in Product Design (18 papers), Rough Sets and Fuzzy Logic (12 papers), Service and Product Innovation (8 papers), Supply Chain Resilience and Risk Management (8 papers), Risk and Safety Analysis (7 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Management Science and Operations Research (1.2k citations), Management of Technology and Innovation (537 citations) and Strategy and Management (920 citations). Wenyan Song has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Xinguo Ming, Hongyuan Fang, Jing Li, Zhenyong Wu, Hu‐Chen Liu, Zhitao Xu, Yang Liu, Zhaojun Li, Qiang Su and Lina He. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and European Journal of Operational Research.

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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