Cong Cao

2.8k citations
77 papers · 2k · h-index 26

Impact in

Papers in

Cong Cao

71 papers receiving 1.8k citations

Peers

Cong Cao
Comparison fields: 5 of 119
  • Management of Technology and Innovation 245
  • Statistics, Probability and Uncertainty 237
  • Information Systems and Management 227
  • Strategy and Management 257
  • Economics and Econometrics 393
Replace Francisco M. Veloso with:
Francisco M. Veloso United States
Philippe Larédo France
Benoı̂t Godin Canada
Magnus Gulbrandsen Norway
Chiara Franzoni Italy
Tomas Hellström Sweden
Anthony V. Arundel Netherlands
Aurora A.C. Teixeira Portugal
Harald Pechlaner Germany
David Wield United Kingdom
Cong Cao relative to Francisco M. Veloso United States Francisco M. Veloso's profile →
Citations per field
00.5×1.5×1.9×
Francisco M. Veloso · 1×
Citations per year

Countries citing papers authored by Cong Cao

Since Specialization
Citations

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

Fields of papers citing papers by Cong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011256
2 2006110
3 2008100
4 201888
5 201988
6 201566
7 201664
8 201864
9 201362
10 201561
11 201660
12 200954
13 201454
14 200451
15 202050
16 200645
17 200442
18 202140
19 201438
20 202136

About Cong Cao

Cong Cao is a scholar working on Information Systems and Management, Management of Technology and Innovation, Political Science and International Relations, Statistics, Probability and Uncertainty and Economics and Econometrics, having authored 77 papers that have together received 2k indexed citations. Recurring topics across this work include Research, Science, and Academia (32 papers), Innovation Policy and R&D (11 papers), International Science and Diplomacy (9 papers), scientometrics and bibliometrics research (8 papers), Intellectual Property and Patents (6 papers), China's Socioeconomic Reforms and Governance (6 papers), University-Industry-Government Innovation Models (5 papers) and Environmental law and policy (3 papers). The work is most often cited by research in Management of Technology and Innovation (245 citations), Statistics, Probability and Uncertainty (237 citations), Information Systems and Management (227 citations), Strategy and Management (257 citations) and Economics and Econometrics (393 citations). Cong Cao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Denis Fred Simon, Yutao Sun, Richard P. Suttmeier, Liu Feng-chao, Ning Li, Bo Zhang, Koen Jonkers, Richard P. Appelbaum, Jeroen Baas and Wagner Caroline. Their work appears in journals such as Science, Nature, Scientometrics, Technological Forecasting and Social Change and Minerva.

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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