What is he best known for?
The fields of study he is best known for:
- Finance
- Marketing
- Microeconomics
Wen-Min Lu focuses on Data envelopment analysis, Operations research, Industrial organization, Competitive advantage and Literature survey.
His study brings together the fields of Corporate governance and Data envelopment analysis.
His Operations research research incorporates themes from Returns to scale and Benchmarking.
Wen-Min Lu combines subjects such as Performance measurement and Marketing with his study of Industrial organization.
His Marketing study combines topics from a wide range of disciplines, such as Productivity and Measure.
Wen-Min Lu integrates Literature survey and Path analysis in his research.
His most cited work include:
- A survey of DEA applications (396 citations)
- Data envelopment analysis 1978-2010: A citation-based literature survey (338 citations)
- Research fronts in data envelopment analysis (146 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Data envelopment analysis, Industrial organization, Marketing, Intellectual capital and Performance measurement.
The Data envelopment analysis study combines topics in areas such as Profitability index, Finance, Actuarial science, Competitive advantage and Operations research.
His research investigates the connection with Operations research and areas like Benchmarking which intersect with concerns in Returns to scale.
His work deals with themes such as Productivity, Competition, National innovation system and Scale, which intersect with Industrial organization.
In his research, Production and Benchmark is intimately related to Process, which falls under the overarching field of Marketing.
His research in Intellectual capital intersects with topics in Life insurance and Structural capital.
He most often published in these fields:
- Data envelopment analysis (67.74%)
- Industrial organization (29.03%)
- Marketing (19.35%)
What were the highlights of his more recent work (between 2019-2021)?
- Data envelopment analysis (67.74%)
- Industrial organization (29.03%)
- Sample (6.45%)
In recent papers he was focusing on the following fields of study:
Data envelopment analysis, Industrial organization, Sample, Investment and Accounting are his primary areas of study.
His study connects Environmental economics and Data envelopment analysis.
Wen-Min Lu has included themes like Production, Innovation process, Strategy map, Emerging markets and Performance improvement in his Industrial organization study.
His studies in Investment integrate themes in fields like Earnings, Pension, Finance and Dividend policy.
His work in the fields of Finance, such as Profitability index, overlaps with other areas such as Resource utilization, Risk adjusted and Public service.
His work on International Financial Reporting Standards as part of general Accounting research is often related to Accounting policy and Affect, thus linking different fields of science.
Between 2019 and 2021, his most popular works were:
- Improving innovation efficiency of emerging economies: The role of manufacturing (3 citations)
- Firm performance and ownership structure: Dynamic network data envelopment analysis approach (2 citations)
- Integration and application of rough sets and data envelopment analysis for assessments of the investment trusts industry (2 citations)
In his most recent research, the most cited papers focused on:
- Finance
- Marketing
- Microeconomics
His primary areas of investigation include Investment, Data envelopment analysis, Econometrics, Bootstrapping and Productivity.
His Investment study integrates concerns from other disciplines, such as Dividend, Earnings, Profitability index and Shareholder.
His Data envelopment analysis study incorporates themes from Outsourcing and Pension, Finance.
His Econometrics study frequently links to related topics such as Index.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.