Kai Kang

1.7k total citations · 1 hit paper
52 papers, 1.2k citations indexed

About

Kai Kang is a scholar working on Management Information Systems, Strategy and Management and Industrial and Manufacturing Engineering. According to data from OpenAlex, Kai Kang has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Management Information Systems, 13 papers in Strategy and Management and 9 papers in Industrial and Manufacturing Engineering. Recurrent topics in Kai Kang's work include Supply Chain and Inventory Management (15 papers), Sustainable Supply Chain Management (12 papers) and Technology Use by Older Adults (8 papers). Kai Kang is often cited by papers focused on Supply Chain and Inventory Management (15 papers), Sustainable Supply Chain Management (12 papers) and Technology Use by Older Adults (8 papers). Kai Kang collaborates with scholars based in China, Netherlands and United States. Kai Kang's co-authors include Lingyun Guo, Li Wen-Lu, Yujie Zhao, Jing Zhang, Qiang Chen, Yanfang Ma, Jianwei Zhao, Shan Yang, Jing Zhang and Bin Cao and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and IEEE Access.

In The Last Decade

Kai Kang

48 papers receiving 1.1k citations

Hit Papers

The dynamic effect of interactivity on customer engagemen... 2020 2026 2022 2024 2020 100 200 300 400

Peers

Kai Kang
Comparison fields: 5 of 125
  • Sociology and Political Science 433
  • Marketing 381
  • Strategy and Management 291
  • Information Systems and Management 252
  • Management Information Systems 195
Replace Zhong Yao with:
Zhong Yao China
Dothang Truong United States
Efpraxia D. Zamani United Kingdom
Chuan Pang Macao
Timber Haaker Netherlands
Gérson Tontini Brazil
Jonathan Ho Taiwan
Sajjad Shokouhyar‎ Iran
Ransome Epie Bawack France
J. Michael Tarn United States
Zhong Yao China View profile →
Citations per field, relative to Kai Kang
Kai Kang · 1×
Citations per year, relative to Kai Kang
Kai Kang · 1×

Countries citing papers authored by Kai Kang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Kang. A scholar is included among the top collaborators of Kai Kang 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 Kai Kang. Kai Kang 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
# Work Indexed citations
1 0
2 0
3 1
4 1
5 7
6 4
7 1
8 6
9 12
10 12
11
The dynamic effect of interactivity on customer engagement behavior through tie strength: Evidence from live streaming commerce platforms breakdown →
453
12 10
13 5
14 4
15 5
16 21
17 3
18 4
19 2
20
DEVELOPMENT AND APPLICATION OF A SIMULATED ALTITUDE CABIN
0

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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