Yanfei Lan

61 papers receiving 1.2k citations

Peers

Yanfei Lan
Comparison fields: 5 of 87
  • Management Information Systems 578
  • Strategy and Management 538
  • Management Science and Operations Research 302
  • Marketing 220
  • Statistics and Probability 99
Replace Yeu‐Shiang Huang with:
Yeu‐Shiang Huang Taiwan
Zhong‐Zhong Jiang China
Miguel A. Lejeune United States
Xiaojun Fan China
Juite Wang Taiwan
Debora Di Caprio United States
Salman Nazari-Shirkouhi Iran
Seyed Hossein Razavi Hajiagha Iran
Kuei‐Kuei Lai Taiwan
Yanfei Lan relative to Yeu‐Shiang Huang Taiwan Yeu‐Shiang Huang's profile →
Citations per field
00.5×1.6×
Yeu‐Shiang Huang · 1×
Citations per year

Countries citing papers authored by Yanfei Lan

Since Specialization
Citations

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

Fields of papers citing papers by Yanfei Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021127
2 2019106
3 201765
4 201756
5 202146
6 200938
7 201835
8 201935
9 201533
10 201533
11 201433
12 201232
13 202132
14 201531
15 201828
16 201825
17 201724
18 201124
19 201524
20 201124

About Yanfei Lan

Yanfei Lan is a scholar working on Management Information Systems, Management Science and Operations Research, Economics and Econometrics, Strategy and Management and Statistics and Probability, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (35 papers), Auction Theory and Applications (15 papers), Sustainable Supply Chain Management (14 papers), Fuzzy Systems and Optimization (9 papers), Consumer Market Behavior and Pricing (7 papers), Multi-Criteria Decision Making (7 papers), Optimization and Mathematical Programming (7 papers) and Capital Investment and Risk Analysis (5 papers). The work is most often cited by research in Management Information Systems (578 citations), Strategy and Management (538 citations), Management Science and Operations Research (302 citations), Marketing (220 citations) and Statistics and Probability (99 citations). Yanfei Lan has collaborated with scholars based in China, United Kingdom and India. Frequent co-authors include Ruiqing Zhao, Gaoji Sun, Wansheng Tang, Da Ren, Kai Yang, Zhiming Zhang, Yingchen Yan, Baoding Liu, Rui Guo and Zhihua Chen. Their work appears in journals such as Computers & Industrial Engineering, European Journal of Operational Research, Fuzzy Optimization and Decision Making, Soft Computing and International Journal of Machine Learning and Cybernetics.

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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