Song Shi

434 citations
31 papers · 277 indexed · h-index 9
Topics
Sustainable Supply Chain Management (8 papers)Supply Chain and Inventory Management (5 papers)Insect and Pesticide Research (2 papers)

In The Last Decade

Song Shi

28 papers receiving 259 citations

Peers

Song Shi
Comparison fields: 5 of 97
  • Strategy and Management 75
  • Management Information Systems 46
  • Management Science and Operations Research 45
  • Plant Science 41
  • Molecular Biology 32
Replace Mark Gagnon with:
Mark Gagnon United States
Ronald C. Beckett Australia
Anna Dunay Hungary
Shikha Aggarwal India
Luis Gerardo Reyes Flores United States
Leandro da Silva Nascimento Brazil
Osden Jokonya South Africa
Manzoor Ul Akram India
Shahimi Mohtar Malaysia
Song Shi relative to Mark Gagnon United States Mark Gagnon's profile →
Citations per field
00.5×6.4×
Mark Gagnon · 1×
Citations per year

Countries citing papers authored by Song Shi

Since Specialization
Citations

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

Fields of papers citing papers by Song Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Song Shi. A scholar is included among the top collaborators of Song Shi 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 Song Shi. Song Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 4
4 1
5 0
6 8
7 4
8 6
9 22
10 7
11 8
12 7
13 4
14
Pricing and coordination decisions in autonomous reduction low-carbon supply chain with fairness concerns
4
15 7
16 30
17
The Characteristic Analysis of Montessori Method Introduced to China Initially
2
18 7
19 25
20
STUDY ON THE ANTI-AGING EFFECTS OF RADIX POLYGONUM MULTIFLORUM
8

About Song Shi

Song Shi is a scholar working on Management Information Systems, Strategy and Management and Marketing, having authored 31 papers that have together received 277 indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (8 papers), Supply Chain and Inventory Management (5 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Management Information Systems (46 citations), Strategy and Management (75 citations) and Management Science and Operations Research (45 citations). Song Shi has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Bo Yan, Guilin Liu, Chenxu Ke, Jan Servaes, Huifeng Li, Qiang Zhao, Qinglong Dong, Guohua Zhong, Xin Yi and Zhisheng Wang. Their work appears in journals such as Frontiers in Psychology, BMC Genomics and Frontiers in Physiology.

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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