Amy Hing Ling Lau

815 total citations
17 papers, 633 citations indexed

About

Amy Hing Ling Lau is a scholar working on Management Information Systems, Marketing and Management Science and Operations Research. According to data from OpenAlex, Amy Hing Ling Lau has authored 17 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Information Systems, 12 papers in Marketing and 8 papers in Management Science and Operations Research. Recurrent topics in Amy Hing Ling Lau's work include Supply Chain and Inventory Management (14 papers), Consumer Market Behavior and Pricing (12 papers) and Auction Theory and Applications (5 papers). Amy Hing Ling Lau is often cited by papers focused on Supply Chain and Inventory Management (14 papers), Consumer Market Behavior and Pricing (12 papers) and Auction Theory and Applications (5 papers). Amy Hing Ling Lau collaborates with scholars based in Hong Kong, United States and China. Amy Hing Ling Lau's co-authors include Hon‐Shiang Lau, Jiancai Wang, Yong‐Wu Zhou and Pak‐Lok Poon and has published in prestigious journals such as Communications of the ACM, European Journal of Operational Research and International Journal of Production Economics.

In The Last Decade

Amy Hing Ling Lau

17 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy Hing Ling Lau Hong Kong 12 575 436 246 148 80 17 633
Danqin Yang China 9 657 1.1× 572 1.3× 270 1.1× 130 0.9× 54 0.7× 16 786
Suman Mallik United States 13 444 0.8× 346 0.8× 216 0.9× 127 0.9× 107 1.3× 17 646
Rui Yin United States 14 513 0.9× 372 0.9× 335 1.4× 169 1.1× 67 0.8× 21 704
Charles X. Wang United States 9 524 0.9× 488 1.1× 163 0.7× 133 0.9× 31 0.4× 13 648
Xavier de Groote France 6 546 0.9× 347 0.8× 190 0.8× 218 1.5× 104 1.3× 12 695
Xianghua Gan China 10 424 0.7× 316 0.7× 136 0.6× 141 1.0× 47 0.6× 18 538
Mahsa Noori-daryan Iran 13 597 1.0× 559 1.3× 176 0.7× 93 0.6× 130 1.6× 19 720
Yue Dai China 12 539 0.9× 494 1.1× 373 1.5× 112 0.8× 62 0.8× 24 779
Tulika Chakraborty India 10 388 0.7× 364 0.8× 125 0.5× 47 0.3× 77 1.0× 12 500
Ruixia Shi United States 14 311 0.5× 226 0.5× 191 0.8× 108 0.7× 58 0.7× 22 471

Countries citing papers authored by Amy Hing Ling Lau

Since Specialization
Citations

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

Fields of papers citing papers by Amy Hing Ling Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy Hing Ling Lau. 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 Amy Hing Ling Lau. The network helps show where Amy Hing Ling Lau may publish in the future.

Co-authorship network of co-authors of Amy Hing Ling Lau

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

All Works

17 of 17 papers shown
1.
Lau, Amy Hing Ling, Hon‐Shiang Lau, & Jiancai Wang. (2009). Usefulness of resale price maintenance under different levels of sales-effort cost and system-parameter uncertainties. European Journal of Operational Research. 203(2). 513–525. 22 indexed citations
2.
Lau, Amy Hing Ling, Hon‐Shiang Lau, & Yong‐Wu Zhou. (2008). Quantity discount and handling-charge reduction schemes for a manufacturer supplying numerous heterogeneous retailers. International Journal of Production Economics. 113(1). 425–445. 13 indexed citations
3.
Wang, Jiancai, Hon‐Shiang Lau, & Amy Hing Ling Lau. (2008). When should a manufacturer share truthful manufacturing cost information with a dominant retailer?. European Journal of Operational Research. 197(1). 266–286. 44 indexed citations
4.
Wang, Jiancai, Hon‐Shiang Lau, & Amy Hing Ling Lau. (2008). How a retailer should manipulate a dominant manufacturer's perception of market and cost parameters. International Journal of Production Economics. 116(1). 43–60. 10 indexed citations
5.
Lau, Amy Hing Ling, Hon‐Shiang Lau, & Jiancai Wang. (2007). How a dominant retailer might design a purchase contract for a newsvendor-type product with price-sensitive demand. European Journal of Operational Research. 190(2). 443–458. 80 indexed citations
6.
Lau, Amy Hing Ling & Hon‐Shiang Lau. (2007). An improved (Q,R) formulation when the stockout cost is incurred on a per-stockout basis. International Journal of Production Economics. 111(2). 421–434. 2 indexed citations
7.
Lau, Amy Hing Ling, Hon‐Shiang Lau, & Jiancai Wang. (2006). Designing a quantity discount scheme for a newsvendor-type product with numerous heterogeneous retailers. European Journal of Operational Research. 180(2). 585–600. 20 indexed citations
8.
Poon, Pak‐Lok & Amy Hing Ling Lau. (2006). The present B2C implementation framework. Communications of the ACM. 49(2). 96–103. 12 indexed citations
9.
Lau, Amy Hing Ling, Hon‐Shiang Lau, & Yong‐Wu Zhou. (2006). Considering asymmetrical manufacturing cost information in a two-echelon system that uses price-only contracts. IIE Transactions. 38(3). 253–271. 34 indexed citations
10.
Lau, Amy Hing Ling, Hon‐Shiang Lau, & Jiancai Wang. (2006). Pricing and volume discounting for a dominant retailer with uncertain manufacturing cost information. European Journal of Operational Research. 183(2). 848–870. 55 indexed citations
11.
Lau, Amy Hing Ling, Hon‐Shiang Lau, & Yong‐Wu Zhou. (2005). A stochastic and asymmetric-information framework for a dominant-manufacturer supply chain. European Journal of Operational Research. 176(1). 295–316. 52 indexed citations
12.
Lau, Amy Hing Ling & Hon‐Shiang Lau. (2004). Some two-echelon supply-chain games: Improving from deterministic-symmetric-information to stochastic-asymmetric-information models. European Journal of Operational Research. 161(1). 203–223. 68 indexed citations
13.
Lau, Amy Hing Ling & Hon‐Shiang Lau. (2003). Effects of a demand-curve’s shape on the optimal solutions of a multi-echelon inventory/pricing model. European Journal of Operational Research. 147(3). 530–548. 147 indexed citations
14.
Lau, Amy Hing Ling & Hon‐Shiang Lau. (2002). The effects of reducing demand uncertainty in a manufacturer–retailer channel for single-period products. Computers & Operations Research. 29(11). 1583–1602. 56 indexed citations
15.
Lau, Amy Hing Ling & Hon‐Shiang Lau. (2002). Comparative normative optimal behavior in two-echelon multiple-retailer distribution systems for a single-period product. European Journal of Operational Research. 144(3). 659–676. 5 indexed citations
16.
Lau, Amy Hing Ling, et al.. (2000). Hooking‐up: a unique feature of China Public Accounting Firms. Managerial Finance. 26(5). 21–30. 10 indexed citations
17.
Lau, Hon‐Shiang & Amy Hing Ling Lau. (1997). The confounding effects of distribution mixtures on some basic methods for handling stable-Paretian distributions. European Journal of Operational Research. 100(1). 60–71. 3 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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