Hongyi Mao

1.4k citations
29 papers · 1.0k indexed · h-index 12
Topics
Innovation and Knowledge Management (6 papers)Technology Adoption and User Behaviour (5 papers)Big Data and Business Intelligence (4 papers)
Partner nations
ChinaFranceUnited States

In The Last Decade

Hongyi Mao

29 papers receiving 999 citations

Peers

Hongyi Mao
Comparison fields: 5 of 96
  • Strategy and Management 345
  • Oncology 321
  • Immunology 290
  • Management Information Systems 221
  • Management of Technology and Innovation 121
Replace Giuseppe Russo with:
Giuseppe Russo Italy
Indu Ramachandran United States
Kevin J. Trainor United States
Matthew L. Smith United Kingdom
Carsten Zimmermann United States
Heinz‐Theo Wagner Germany
Stefano Fontana Italy
Minh Q. Huynh United States
Nidhi Singh India
Xuemei Tian China
Hongyi Mao relative to Giuseppe Russo Italy Giuseppe Russo's profile →
Citations per field
00.5×6.3×
Giuseppe Russo · 1×
Citations per year

Countries citing papers authored by Hongyi Mao

Since Specialization
Citations

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

Fields of papers citing papers by Hongyi Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyi Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Hongyi Mao. A scholar is included among the top collaborators of Hongyi Mao 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 Hongyi Mao. Hongyi Mao 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 3
2 3
3 3
4 5
5 22
6 10
7 3
8 56
9 19
10 17
11 11
12 54
13
The joint effects of IT resources and CEO support in IT assimilation.
1
14
Real-time Social Media Data Analytics for Situational Awareness of the Electric Grid
2
15 5
16 96
17
How the Effects of IT Capability and Knowledge Capability on Organizational Agility are Contingent on Environmental Uncertainty and Information Intensity.
7
18 373
19 3
20 18

About Hongyi Mao

Hongyi Mao is a scholar working on Management Information Systems, Information Systems and Management and Strategy and Management, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Innovation and Knowledge Management (6 papers), Technology Adoption and User Behaviour (5 papers) and Big Data and Business Intelligence (4 papers). The work is most often cited by research in Management Information Systems (221 citations), Strategy and Management (345 citations) and Business and International Management (37 citations). Hongyi Mao has collaborated with scholars based in China, France and United States. Frequent co-authors include Shan Liu, Jinlong Zhang, Zhaohua Deng, Jianjun Chu, Youcai Deng, Tiffany Hughes, Kalpana Ghoshal, Michael A. Caligiuri, Craig C. Hofmeister and Shun He. Their work appears in journals such as Journal of Business Research, IEEE Access and International Journal of Production Economics.

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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