Song Lin

1.4k citations
57 papers · 976 indexed · h-index 18

Song Lin

50 papers receiving 952 citations

Peers

Song Lin
Comparison fields: 5 of 107
  • Business and International Management 111
  • Management of Technology and Innovation 310
  • Organizational Behavior and Human Resource Management 150
  • Strategy and Management 206
  • Marketing 113
Replace Christian Linder with:
Christian Linder Germany
Frida Lind Sweden
Joern Hoppmann Switzerland
Patrick Holzmann Austria
André O. Laplume United States
Gustavo Morales‐Alonso Spain
Anton Klarin Australia
Arunaditya Sahay India
Magnus Holmén Sweden
Kah‐Hin Chai Singapore
Song Lin relative to Christian Linder Germany Christian Linder's profile →
Citations per field
00.5×3.5×
Christian Linder · 1×
Citations per year

Countries citing papers authored by Song Lin

Since Specialization
Citations

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

Fields of papers citing papers by Song Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20241
4 20245
5 20232
6 20231
7 20230
8 20230
9 20211
10 20214
11 202052
12 20207
13 201810
14 20180
15
Evaluation Practice of App Software for Oral English Learning Based on Three Mainstream Pieces of Software
20151
16
Experimental study of fine tailing sand mortar
20130
17 20122
18
Advances in Computer Science, Environment, Ecoinformatics, and Education, Part V: International Conference, CSEE 2011, Wuhan, China, August 21-22, ... in Computer and Information Science)
20112
19
The Antecedents of Image Transfer --- an Empirical Study of Event Sponsorship
20081
20
A Research into the Integrated Model of Entrepreneurial Opportunity Identification:——A Perspective Based on Process
20070

About Song Lin

Song Lin is a scholar working on Business and International Management, Management of Technology and Innovation and Marketing, having authored 57 papers that have together received 976 indexed citations. Recurring topics across this work include Entrepreneurship Studies and Influences (20 papers), Consumer Market Behavior and Pricing (11 papers), Digital Platforms and Economics (9 papers), Family Business Performance and Succession (8 papers), Innovation and Socioeconomic Development (8 papers), Corporate Finance and Governance (5 papers), Merger and Competition Analysis (4 papers) and Firm Innovation and Growth (4 papers). The work is most often cited by research in Business and International Management (111 citations), Management of Technology and Innovation (310 citations) and Organizational Behavior and Human Resource Management (150 citations). Song Lin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include J. P. Eggers, Steven Si, Jing Li, Christoph Winkler, Chun‐Hui He, Huawei Liu, Yiwen Wu, Tuti Mariana Lim, John R. Hauser and Wenju Jiang.

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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