Bih‐Ru Lea

627 total citations
20 papers, 409 citations indexed

About

Bih‐Ru Lea is a scholar working on Management Information Systems, Management Science and Operations Research and Information Systems and Management. According to data from OpenAlex, Bih‐Ru Lea has authored 20 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Management Information Systems, 5 papers in Management Science and Operations Research and 4 papers in Information Systems and Management. Recurrent topics in Bih‐Ru Lea's work include Technology Adoption and User Behaviour (4 papers), Operations Management Techniques (4 papers) and Knowledge Management and Sharing (3 papers). Bih‐Ru Lea is often cited by papers focused on Technology Adoption and User Behaviour (4 papers), Operations Management Techniques (4 papers) and Knowledge Management and Sharing (3 papers). Bih‐Ru Lea collaborates with scholars based in United States. Bih‐Ru Lea's co-authors include Lawrence D. Fredendall, Wenbin Yu, Hokey Min, Michael A. Nichols, Mahesh Gupta, Li Li Eng, Mary Sumner, Dinesh A. Mirchandani, Xiaodong Deng and Francisca E. Oboh‐Ikuenobe and has published in prestigious journals such as Journal of Cleaner Production, International Journal of Production Economics and International Journal of Production Research.

In The Last Decade

Bih‐Ru Lea

19 papers receiving 363 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bih‐Ru Lea United States 8 191 128 89 55 54 20 409
Byron J. Finch United States 11 176 0.9× 126 1.0× 83 0.9× 65 1.2× 93 1.7× 23 461
Ram Pakath United States 5 91 0.5× 203 1.6× 68 0.8× 52 0.9× 84 1.6× 8 365
Stanley C. Gardiner United States 8 208 1.1× 119 0.9× 96 1.1× 12 0.2× 55 1.0× 14 365
W.G.M.M. Rutten Netherlands 9 58 0.3× 146 1.1× 91 1.0× 35 0.6× 104 1.9× 15 401
John Paul Kawalek United Kingdom 6 112 0.6× 297 2.3× 106 1.2× 25 0.5× 196 3.6× 15 445
Mehmet Barut United States 12 46 0.2× 184 1.4× 119 1.3× 30 0.5× 98 1.8× 21 426
Petri Hallikainen Finland 10 52 0.3× 339 2.6× 71 0.8× 57 1.0× 78 1.4× 44 503
Kenneth H. Doerr United States 12 70 0.4× 123 1.0× 127 1.4× 19 0.3× 51 0.9× 24 378
Gianluca Solazzo Italy 10 50 0.3× 101 0.8× 30 0.3× 56 1.0× 74 1.4× 15 337
Katrin Wyrtki Germany 6 45 0.2× 128 1.0× 67 0.8× 37 0.7× 63 1.2× 8 315

Countries citing papers authored by Bih‐Ru Lea

Since Specialization
Citations

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

Fields of papers citing papers by Bih‐Ru Lea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bih‐Ru Lea. 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 Bih‐Ru Lea. The network helps show where Bih‐Ru Lea may publish in the future.

Co-authorship network of co-authors of Bih‐Ru Lea

This figure shows the co-authorship network connecting the top 25 collaborators of Bih‐Ru Lea. A scholar is included among the top collaborators of Bih‐Ru Lea 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 Bih‐Ru Lea. Bih‐Ru Lea 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
1.
Min, Hokey & Bih‐Ru Lea. (2023). Motivators and Inhibitors for Business Analytics Adoption from the Cross-Cultural Perspectives: A Data Mining Approach. Information Systems Frontiers. 26(3). 1041–1062. 3 indexed citations
2.
Min, Hokey & Bih‐Ru Lea. (2021). Developing the Profiles of Business Analytics Adopters and Non-adopters Using Data Mining Tools. Journal of Computer Information Systems. 62(5). 1048–1060. 3 indexed citations
3.
Lea, Bih‐Ru, et al.. (2020). Personality Types in Learning Enterprise Resource Planning (ERP) Systems. Journal of Computer Information Systems. 62(2). 359–371. 5 indexed citations
4.
Lea, Bih‐Ru & Li Li Eng. (2020). Exploring the impact of multi-class teams in an immersive learning environment on student learning experience and engagement. International Journal of Business and Systems Research. 15(1). 68–68. 3 indexed citations
5.
Lea, Bih‐Ru, Wenbin Yu, & Hokey Min. (2018). Data visualization for assessing the biofuel commercialization potential within the business intelligence framework. Journal of Cleaner Production. 188. 921–941. 18 indexed citations
6.
Deng, Xiaodong, et al.. (2014). An Explorative Study of Mobility Adoption in the Enterprise. Journal of the Association for Information Systems. 37. 1 indexed citations
7.
Lea, Bih‐Ru. (2011). Measuring performance of social network-based virtual community: a balanced scorecard approach. International Journal of Business and Systems Research. 5(3). 281–281. 1 indexed citations
8.
Lea, Bih‐Ru, et al.. (2009). A cooperative lecture style and student learning in an introductory computer programming course. International Journal of Innovation and Learning. 6(2). 192–192. 3 indexed citations
9.
Lea, Bih‐Ru, et al.. (2007). Social Network Enhanced Digital City Management and Innovation Success: A Prototype Design. Journal of international technology and information management. 16(3). 6 indexed citations
10.
Yu, Wenbin, et al.. (2007). A THEORETIC FRAMEWORK INTEGRATING TEXT MINING AND ENERGY DEMAND FORECASTING. Int. J. Electron. Bus. Manag.. 5. 211–224. 6 indexed citations
11.
Lea, Bih‐Ru. (2007). Management accounting in ERP integrated MRP and TOC environments. Industrial Management & Data Systems. 107(8). 1188–1211. 36 indexed citations
12.
Oboh‐Ikuenobe, Francisca E., et al.. (2006). Application of text mining in developing standardized descriptions of taxa in paleontology: A framework.
13.
Lea, Bih‐Ru, et al.. (2006). Enhancing business networks using social network based virtual communities. Industrial Management & Data Systems. 106(1). 121–138. 81 indexed citations
14.
Lea, Bih‐Ru. (2005). Leveraging Information Technology to Gain Competitive Advantage: A Case Study on General Electric Consumer Products. Journal of international technology and information management. 14(1). 10 indexed citations
15.
Lea, Bih‐Ru, et al.. (2005). Conceptual Framework of Using Collaborative Filtering Algorithms to Enhance Keyword Search. 1 indexed citations
16.
Lea, Bih‐Ru, Mahesh Gupta, & Wenbin Yu. (2003). A prototype multi-agent ERP system: an integrated architecture and a conceptual framework. Technovation. 25(4). 433–441. 37 indexed citations
17.
Lea, Bih‐Ru & Hokey Min. (2003). Selection of management accounting systems in Just-In-Time and Theory of Constraints-based manufacturing. International Journal of Production Research. 41(13). 2879–2910. 34 indexed citations
18.
Lea, Bih‐Ru & Lawrence D. Fredendall. (2002). The impact of management accounting, product structure, product mix algorithm, and planning horizon on manufacturing performance. International Journal of Production Economics. 79(3). 279–299. 71 indexed citations
19.
Lea, Bih‐Ru. (1998). The Impact of Management Accounting Alternatives in Different Manufacturing Environments. TigerPrints (Clemson University). 6 indexed citations
20.
Fredendall, Lawrence D. & Bih‐Ru Lea. (1997). Improving the product mix heuristic in the theory of constraints. International Journal of Production Research. 35(6). 1535–1544. 84 indexed citations

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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