Ke Fu

1.0k citations
48 papers · 787 · h-index 14

Impact in

Papers in

Ke Fu

46 papers receiving 766 citations

Peers

Ke Fu
Comparison fields: 5 of 102
  • Management Information Systems 332
  • Strategy and Management 467
  • Marketing 161
  • Industrial and Manufacturing Engineering 145
  • Industrial and Manufacturing Engineering 111
Replace Hongfu Huang with:
Hongfu Huang China
Ramzi Hammami France
Bikash Koli Dey South Korea
Amulya Gurtu United States
Mohammadreza Nematollahi Iran
Mehran Ullah Pakistan
Kunpeng Li China
Seung Ho Yoo South Korea
Tong Shu China
J. M. Ries Germany
Ke Fu relative to Hongfu Huang China Hongfu Huang's profile →
Citations per field
00.5×9.5×
Hongfu Huang · 1×
Citations per year

Countries citing papers authored by Ke Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ke Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015151
2 2016124
3 202286
4 201968
5 201936
6 200634
7 201033
8 202228
9 202321
10 202320
11 200816
12 202016
13 201215
14 201213
15 202111
16 200510
17 20049
18 20188
19 20118
20 20218

About Ke Fu

Ke Fu is a scholar working on Management Information Systems, Strategy and Management, Industrial and Manufacturing Engineering, Control and Systems Engineering and Marketing, having authored 48 papers that have together received 787 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (18 papers), Sustainable Supply Chain Management (8 papers), Consumer Market Behavior and Pricing (6 papers), Vehicle Routing Optimization Methods (5 papers), Scheduling and Optimization Algorithms (4 papers), Working Capital and Financial Performance (4 papers), Digital Platforms and Economics (4 papers) and Advanced Queuing Theory Analysis (3 papers). The work is most often cited by research in Management Information Systems (332 citations), Strategy and Management (467 citations), Marketing (161 citations), Industrial and Manufacturing Engineering (145 citations) and Industrial and Manufacturing Engineering (111 citations). Ke Fu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhaowei Miao, Yu Wang, Jiayan Xu, Vernon Ning Hsu, Yanzhi Li, Chung‐Yee Lee, Kaijie Zhu, Xiting Gong, Feng Yang and James K. Mills. Their work appears in journals such as European Journal of Operational Research, Omega, Production and Operations Management, Transportation Research Part E Logistics and Transportation Review and Food Reviews International.

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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