Ming-Fang Lu

638 citations
3 papers · 438 indexed · 1 hit paper · h-index 2
Topics
Blockchain Technology Applications and Security (2 papers)IoT and Edge/Fog Computing (1 paper)Supply Chain and Inventory Management (1 paper)
Partner nations
Taiwan

In The Last Decade

Ming-Fang Lu

2 papers receiving 417 citations

Hit Papers

Supply chain re-engineering using blockchain technology: ...20192026202120232019100200300400

Peers

Ming-Fang Lu
Comparison fields: 5 of 50
  • Information Systems 354
  • Management Information Systems 168
  • Strategy and Management 165
  • Artificial Intelligence 53
  • Industrial and Manufacturing Engineering 48
Replace Maria Sokhn with:
Maria Sokhn Switzerland
Mario Dobrovnik Austria
Niels Hackius Germany
Jingyao Wang China
Justin Sunny India
Giulio Caldarelli Italy
Stefan Tönnissen Germany
Kari Korpela Finland
Mladen Jardas Croatia
Jestin Johny India
Ming-Fang Lu relative to Maria Sokhn Switzerland Maria Sokhn's profile →
Citations per field
00.5×1.5×
Maria Sokhn · 1×
Citations per year

Countries citing papers authored by Ming-Fang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Fang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Fang Lu. 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 Ming-Fang Lu. The network helps show where Ming-Fang Lu may publish in the future.

Co-authorship network of co-authors of Ming-Fang Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Fang Lu. A scholar is included among the top collaborators of Ming-Fang Lu 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 Ming-Fang Lu. Ming-Fang Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1 13
2
Supply chain re-engineering using blockchain technology: A case of smart contract based tracking processbreakdown →
425
3 0

About Ming-Fang Lu

Ming-Fang Lu is a scholar working on Management Information Systems, Information Systems and Statistical and Nonlinear Physics, having authored 3 papers that have together received 438 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (2 papers), IoT and Edge/Fog Computing (1 paper) and Supply Chain and Inventory Management (1 paper). The work is most often cited by research in Management Information Systems (168 citations), Information Systems (354 citations) and Strategy and Management (165 citations). Ming-Fang Lu has collaborated with scholars based in Taiwan. Frequent co-authors include Shuchih Ernest Chang, YiChian Chen and Shuwei Wang. Their work appears in journals such as Technological Forecasting and Social Change, JMIR Medical Informatics and International Journal of Mechanical Engineering Education.

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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