Cong Cheng

905 citations
25 papers · 651 · h-index 11

Impact in

Papers in

Cong Cheng

19 papers receiving 629 citations

Peers

Cong Cheng
Comparison fields: 5 of 62
  • Strategy and Management 317
  • Management of Technology and Innovation 134
  • Business and International Management 34
  • Management Information Systems 91
  • Marketing 74
Replace Silvia Avasilcăi with:
Silvia Avasilcăi Romania
Paolo Boccardelli Italy
Xavier Ferràs Spain
William Y. Degbey Finland
Javier Sendra-García Spain
Marta Pérez-Pérez Spain
Jutta Stumpf-Wollersheim Germany
Hartini Ahmad Malaysia
Sarah Lai‐Yin Cheah Singapore
R. Mitch Casselman United States
Cong Cheng relative to Silvia Avasilcăi Romania Silvia Avasilcăi's profile →
Citations per field
00.5×3.8×
Silvia Avasilcăi · 1×
Citations per year

Countries citing papers authored by Cong Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Cong Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Cong Cheng, 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 Cong Cheng Line = papers co-authored together Cong Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020130
2 2017103
3 201989
4 202186
5 202342
6 202039
7 201733
8 202330
9 202328
10 201925
11 202317
12 20168
13 20236
14 20245
15 20244
16
The Research on the Relationship among Network Density,Learning Capability and Technological Innovation
20112
17 20152
18 20251
19 20181
20 20250

About Cong Cheng

Cong Cheng is a scholar working on Strategy and Management, Economics and Econometrics, Accounting, Sociology and Political Science and Management of Technology and Innovation, having authored 25 papers that have together received 651 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (15 papers), International Business and FDI (8 papers), Corporate Finance and Governance (8 papers), Firm Innovation and Growth (4 papers), Qualitative Comparative Analysis Research (3 papers), Innovation Policy and R&D (3 papers), Digital Transformation in Industry (3 papers) and Entrepreneurship Studies and Influences (2 papers). The work is most often cited by research in Strategy and Management (317 citations), Management of Technology and Innovation (134 citations), Business and International Management (34 citations), Management Information Systems (91 citations) and Marketing (74 citations). Cong Cheng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Monica Yang, Hongming Xie, Mengxin Zhang, Lulu Yan, Michael Dempsey, Fuming Jiang, Jian Dai, Ying Zhang, Ying Ying and Yang Liu. Their work appears in journals such as Journal of Business Research, Management International Review, Sustainability, Humanities and Social Sciences Communications and IEEE Transactions on Engineering Management.

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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