Jui‐Jung Liao

1.4k total citations
40 papers, 1.1k citations indexed

About

Jui‐Jung Liao is a scholar working on Management Information Systems, Strategy and Management and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jui‐Jung Liao has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Management Information Systems, 33 papers in Strategy and Management and 22 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jui‐Jung Liao's work include Supply Chain and Inventory Management (37 papers), Sustainable Supply Chain Management (32 papers) and Scheduling and Optimization Algorithms (21 papers). Jui‐Jung Liao is often cited by papers focused on Supply Chain and Inventory Management (37 papers), Sustainable Supply Chain Management (32 papers) and Scheduling and Optimization Algorithms (21 papers). Jui‐Jung Liao collaborates with scholars based in Taiwan, Canada and Azerbaijan. Jui‐Jung Liao's co-authors include Kun‐Jen Chung, Shy‐Der Lin, H. M. Srivastava, Pin‐Shou Ting, Ming-Fu Hsu, Yung‐Fu Huang, Leopoldo Eduardo Cárdenas‐Barrón, Chih‐Hsiang Lin and Yale Wang and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Economics and Sustainability.

In The Last Decade

Jui‐Jung Liao

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jui‐Jung Liao Taiwan 17 1.0k 888 444 124 70 40 1.1k
Chia-Huei Ho Taiwan 15 1.0k 1.0× 879 1.0× 353 0.8× 68 0.5× 83 1.2× 21 1.1k
Gour Chandra Mahata India 22 1.2k 1.2× 1.0k 1.1× 400 0.9× 45 0.4× 208 3.0× 81 1.4k
Hardik N. Soni India 16 788 0.8× 635 0.7× 215 0.5× 34 0.3× 120 1.7× 40 875
Farzad Mahmoodi United States 19 416 0.4× 421 0.5× 445 1.0× 22 0.2× 29 0.4× 49 979
Moueen K. Salameh Lebanon 16 1.5k 1.5× 1.2k 1.4× 621 1.4× 19 0.2× 169 2.4× 28 1.7k
Samir Barman United States 14 371 0.4× 226 0.3× 232 0.5× 30 0.2× 91 1.3× 33 633
Mir-Bahador Aryanezhad Iran 11 643 0.6× 489 0.6× 277 0.6× 16 0.1× 120 1.7× 19 878
Jie Min China 14 686 0.7× 568 0.6× 213 0.5× 27 0.2× 75 1.1× 28 907
Seung‐Lae Kim United States 11 544 0.5× 419 0.5× 215 0.5× 14 0.1× 29 0.4× 20 632
Dean C. Chatfield United States 15 855 0.8× 627 0.7× 230 0.5× 15 0.1× 30 0.4× 28 1.1k

Countries citing papers authored by Jui‐Jung Liao

Since Specialization
Citations

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

Fields of papers citing papers by Jui‐Jung Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jui‐Jung Liao. 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 Jui‐Jung Liao. The network helps show where Jui‐Jung Liao may publish in the future.

Co-authorship network of co-authors of Jui‐Jung Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Jui‐Jung Liao. A scholar is included among the top collaborators of Jui‐Jung Liao 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 Jui‐Jung Liao. Jui‐Jung Liao 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
3.
Chung, Kun‐Jen, et al.. (2022). Optimal ordering policy and preservation technology for deteriorating items with maximum lifetime under a resilient hybrid payment decision. Journal of Industrial and Management Optimization. 19(7). 5353–5379. 5 indexed citations
5.
Chung, Kun‐Jen, et al.. (2021). The EOQ Model for Deteriorating Items with a Conditional Trade Credit Linked to Order Quantity in a Supply Chain System. Mathematics. 9(18). 2311–2311. 8 indexed citations
6.
Chung, Kun‐Jen, et al.. (2020). Manufacturer's optimal pricing and lot‐sizing policies under trade‐credit financing. Mathematical Methods in the Applied Sciences. 43(6). 3099–3116. 9 indexed citations
7.
Srivastava, H. M., et al.. (2020). An accurate and reliable mathematical analytic solution procedure for the EOQ model with non-instantaneous receipt under supplier credits. Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas. 115(1). 32 indexed citations
8.
Srivastava, H. M., et al.. (2019). Some modified mathematical analytic derivations of the annual total relevant cost of the inventory model with two levels of trade credit in the supply chain system. Mathematical Methods in the Applied Sciences. 42(11). 3967–3977. 13 indexed citations
9.
Chung, Kun‐Jen, et al.. (2019). The Inventory Model for Deteriorating Items under Conditions Involving Cash Discount and Trade Credit. Mathematics. 7(7). 596–596. 21 indexed citations
10.
Liao, Jui‐Jung, et al.. (2019). Optimal ordering policy in an economic order quantity (EOQ) model for non-instantaneous deteriorating items with defective quality and permissible delay in payments. Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas. 114(1). 22 indexed citations
11.
Liao, Jui‐Jung, et al.. (2017). Determination of the optimal ordering policy for the retailer with limited capitals when a supplier offers 2 levels of trade credit. Mathematical Methods in the Applied Sciences. 40(18). 7686–7696. 6 indexed citations
12.
Chung, Kun‐Jen, Jui‐Jung Liao, Pin‐Shou Ting, Shy‐Der Lin, & H. M. Srivastava. (2015). The algorithm for the optimal cycle time and pricing decisions for an integrated inventory system with order-size dependent trade credit in supply chain management. Applied Mathematics and Computation. 268. 322–333. 19 indexed citations
13.
Liao, Jui‐Jung, et al.. (2013). An ensemble-based model for two-class imbalanced financial problem. Economic Modelling. 37. 175–183. 29 indexed citations
14.
Liao, Jui‐Jung, Pin‐Shou Ting, & Chih‐Hsiang Lin. (2013). Optimal ordering policy for deteriorating items under permissible delay in payments from the DCF approach. Journal of Statistics and Management Systems. 16(6). 419–431. 1 indexed citations
15.
Wang, Yale, Yung‐Fu Huang, & Jui‐Jung Liao. (2009). Retailer's economic ordering quantity under partial payments delay: an algebraic approach. Journal of Information and Optimization Sciences. 30(1). 121–133. 1 indexed citations
16.
Liao, Jui‐Jung, et al.. (2008). A simple method to locate the optimal solution for exponentially deteriorating items under trade credit financing. Computers & Mathematics with Applications. 56(4). 965–977. 29 indexed citations
17.
Chung, Kun‐Jen & Jui‐Jung Liao. (2008). The optimal ordering policy of the EOQ model under trade credit depending on the ordering quantity from the DCF approach. European Journal of Operational Research. 196(2). 563–568. 63 indexed citations
18.
Liao, Jui‐Jung. (2007). An inventory control system under deferrable delivery conditions. Mathematical and Computer Modelling. 47(3-4). 247–258. 9 indexed citations
19.
Liao, Jui‐Jung. (2006). A note on an EOQ model for deteriorating items under supplier credit linked to ordering quantity. Applied Mathematical Modelling. 31(8). 1690–1699. 34 indexed citations
20.
Liao, Jui‐Jung. (2006). On an EPQ model for deteriorating items under permissible delay in payments. Applied Mathematical Modelling. 31(3). 393–403. 87 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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