Meng Chen

1.1k citations
57 papers · 743 indexed · h-index 15
Topics
Innovation and Knowledge Management (10 papers)Corporate Finance and Governance (6 papers)Big Data and Business Intelligence (5 papers)

In The Last Decade

Meng Chen

51 papers receiving 715 citations

Peers

Meng Chen
Comparison fields: 5 of 118
  • Strategy and Management 372
  • Management Information Systems 196
  • Marketing 125
  • Economics and Econometrics 97
  • Management of Technology and Innovation 76
Replace Leven J. Zheng with:
Leven J. Zheng China
Xosé H. Vázquez Spain
Alberto Pezzi Italy
Guanyi Lu United States
Daniele Leone Italy
Siti Norezam Othman Malaysia
Malcolm Brady Ireland
Youngwon Park Japan
Fábio Lotti Oliva Brazil
Parikshit Charan India
Meng Chen relative to Leven J. Zheng China Leven J. Zheng's profile →
Citations per field
00.5×5.3×
Leven J. Zheng · 1×
Citations per year

Countries citing papers authored by Meng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Meng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Chen. A scholar is included among the top collaborators of Meng Chen 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 Meng Chen. Meng Chen 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 2
4 5
5 4
6 14
7 2
8 55
9 8
10 37
11 2
12 44
13 16
14 11
15 112
16 6
17
Does IT Capability Matter? The Influence of Slack Resources on Firm Performance
1
18 2
19 4
20
Task process model of parallel test system based on Petri net
1

About Meng Chen

Meng Chen is a scholar working on Strategy and Management, Management Information Systems and Organizational Behavior and Human Resource Management, having authored 57 papers that have together received 743 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (10 papers), Corporate Finance and Governance (6 papers) and Big Data and Business Intelligence (5 papers). The work is most often cited by research in Strategy and Management (372 citations), Management Information Systems (196 citations) and Business and International Management (37 citations). Meng Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hefu Liu, Jibao Gu, Shaobo Wei, Xinlin Tang, Yao Chen, Jia Liu, Zhao Cai, Peter J. Buckley, Gang He and Manzhi Liu. Their work appears in journals such as PLoS ONE, Journal of Business Research and Computers in Human Behavior.

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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