Sining Song

436 citations
13 papers · 263 · h-index 6

Impact in

    • Sustainable Supply Chain Management
    • Supply Chain Resilience and Risk Management
    • Corporate Social Responsibility Reporting
    • Innovation and Knowledge Management
  • Marketing top 10%
    • Environmental Sustainability in Business

Papers in

Sining Song

12 papers receiving 261 citations

Peers

Sining Song
Comparison fields: 5 of 41
  • Strategy and Management 177
  • Marketing 76
  • Management Information Systems 68
  • Business and International Management 14
  • Accounting 25
Replace Haidi Zhou with:
Haidi Zhou China
Shenyang Jiang China
Xun Tong Netherlands
Beate Klingenberg United States
Fien Zulfikarijah Indonesia
Raymond Treacy United Kingdom
Dayana Jalaludin Malaysia
Yousif Abdelbagi Abdalla United Arab Emirates
Seongtae Kim Finland
Sining Song relative to Haidi Zhou China Haidi Zhou's profile →
Citations per field
00.5×1.5×
Haidi Zhou · 1×
Citations per year

Countries citing papers authored by Sining Song

Since Specialization
Citations

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

Fields of papers citing papers by Sining Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Sining 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 Sining Song Line = papers co-authored together Sining Song links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2020104
2 202381
3 202241
4 202012
5 202310
6 20208
7 20202
8 20251
9 20221
10 20181
11
Essays on Environmental Spillovers in Supply Chains
20181
12 20201
13 20260

About Sining Song

Sining Song is a scholar working on Strategy and Management, Economics and Econometrics, Management Information Systems, Marketing and Industrial and Manufacturing Engineering, having authored 13 papers that have together received 263 indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (7 papers), Energy, Environment, Economic Growth (5 papers), Environmental Sustainability in Business (4 papers), Recycling and Waste Management Techniques (2 papers), Supply Chain and Inventory Management (2 papers), Corporate Social Responsibility Reporting (2 papers), Digital Platforms and Economics (2 papers) and Quality and Supply Management (2 papers). The work is most often cited by research in Strategy and Management (177 citations), Marketing (76 citations), Management Information Systems (68 citations), Business and International Management (14 citations) and Accounting (25 citations). Sining Song has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Keith Skowronski, Yan Dong, Sriram Venkataraman, Tingting Yan, Kefeng Xu, Craig R. Carter, Thomas Kull, Manus Rungtusanatham, Chen Zhou and Yuliang Yao. Their work appears in journals such as Journal of Operations Management, Production and Operations Management, Manufacturing & Service Operations Management, Decision Sciences and Information Systems 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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