David M. Chiang

639 total citations
24 papers, 484 citations indexed

About

David M. Chiang is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Strategy and Management. According to data from OpenAlex, David M. Chiang has authored 24 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Information Systems, 11 papers in Industrial and Manufacturing Engineering and 9 papers in Strategy and Management. Recurrent topics in David M. Chiang's work include Supply Chain and Inventory Management (9 papers), Scheduling and Optimization Algorithms (6 papers) and Advanced Manufacturing and Logistics Optimization (5 papers). David M. Chiang is often cited by papers focused on Supply Chain and Inventory Management (9 papers), Scheduling and Optimization Algorithms (6 papers) and Advanced Manufacturing and Logistics Optimization (5 papers). David M. Chiang collaborates with scholars based in Taiwan, Ghana and Netherlands. David M. Chiang's co-authors include Chia‐Ping Lin, Mu‐Chen Chen, Fan‐Yun Pai, Cheng-Wen Chang, Ruey‐Shan Guo, Mu‐Chen Chen, Ching‐I Teng, Fan‐Chen Tseng, Wen‐Chi Chen and Jiaying Chen and has published in prestigious journals such as Expert Systems with Applications, International Journal of Production Economics and International Journal of Production Research.

In The Last Decade

David M. Chiang

23 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Chiang Taiwan 12 195 144 130 67 43 24 484
Royston Meriton United Kingdom 7 170 0.9× 191 1.3× 193 1.5× 30 0.4× 42 1.0× 14 466
Tharaka de Vass Australia 9 161 0.8× 162 1.1× 240 1.8× 55 0.8× 79 1.8× 15 523
Pwpj Paul Grefen Netherlands 8 104 0.5× 184 1.3× 63 0.5× 60 0.9× 42 1.0× 33 397
Patrick Hennelly United Kingdom 7 93 0.5× 113 0.8× 123 0.9× 31 0.5× 27 0.6× 13 326
Björn Häckel Germany 12 67 0.3× 99 0.7× 62 0.5× 44 0.7× 43 1.0× 50 377
Jyotirmoyee Bhattacharjya Australia 9 73 0.4× 131 0.9× 106 0.8× 38 0.6× 40 0.9× 23 375
Bo Dai China 12 185 0.9× 84 0.6× 103 0.8× 128 1.9× 50 1.2× 27 434
Qingqi Long China 16 129 0.7× 199 1.4× 249 1.9× 31 0.5× 77 1.8× 33 598
Snehamay Banerjee United States 13 103 0.5× 338 2.3× 277 2.1× 32 0.5× 29 0.7× 32 595
John Paul Kawalek United Kingdom 6 106 0.5× 297 2.1× 196 1.5× 28 0.4× 32 0.7× 15 445

Countries citing papers authored by David M. Chiang

Since Specialization
Citations

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

Fields of papers citing papers by David M. Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Chiang. 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 David M. Chiang. The network helps show where David M. Chiang may publish in the future.

Co-authorship network of co-authors of David M. Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Chiang. A scholar is included among the top collaborators of David M. Chiang 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 David M. Chiang. David M. Chiang 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.
Chiang, David M., et al.. (2018). Supporting small suppliers through buyer-backed purchase order financing. International Journal of Production Research. 56(18). 6066–6089. 40 indexed citations
2.
Chiang, David M., et al.. (2014). Support SME Suppliers through Buyer-Backed Purchase Order Financing. SSRN Electronic Journal. 9 indexed citations
3.
Chiang, David M., Chia‐Ping Lin, & Mu‐Chen Chen. (2012). Data mining based storage assignment heuristics for travel distance reduction. Expert Systems. 31(1). 81–90. 48 indexed citations
4.
Chang, Cheng-Wen, David M. Chiang, & Fan‐Yun Pai. (2012). Cooperative strategy in supply chain networks. Industrial Marketing Management. 41(7). 1114–1124. 65 indexed citations
5.
Chiang, David M., Chia‐Ping Lin, & Mu‐Chen Chen. (2011). The adaptive approach for storage assignment by mining data of warehouse management system for distribution centres. Enterprise Information Systems. 5(2). 219–234. 147 indexed citations
6.
Chiang, David M., et al.. (2011). Discrete-order admission ATP model with joint effect of margin and order size in a MTO environment. International Journal of Production Economics. 133(2). 761–775. 11 indexed citations
7.
Chiang, David M., et al.. (2011). Identifying critical features of complex systems under prior known conditions. Computers & Industrial Engineering. 61(3). 788–793. 3 indexed citations
8.
Chiang, David M., et al.. (2010). Critical equipments decision support system for process layout environment: a case of wafer FAB. International journal of industrial engineering. 17(3).
9.
Chiang, David M., et al.. (2010). USING ORDER ADMISSION CONTROL TO MAXIMIZE REVENUE UNDER CAPACITY UTILIZATION REQUIREMENTS IN MTO B2B INDUSTRIES. Journal of the Operations Research Society of Japan. 53(4). 270–288. 6 indexed citations
10.
Chiang, David M., et al.. (2009). The impact of estimation error on the dynamic order admission policy in B2B MTO environments. Expert Systems with Applications. 36(9). 11782–11791. 4 indexed citations
11.
Chiang, David M., Ruey‐Shan Guo, & Fan‐Yun Pai. (2008). Improved customer satisfaction with a hybrid dispatching rule in semiconductor back-end factories. International Journal of Production Research. 46(17). 4903–4923. 30 indexed citations
12.
Chiang, David M., et al.. (2007). Multi-objectives exception management model for semiconductor back-end environment under turnkey service. Production Planning & Control. 18(3). 203–216. 10 indexed citations
13.
Tseng, Fan‐Chen, Ching‐I Teng, & David M. Chiang. (2007). Delivering Superior Customer Perceived Value in the Context of Network Effects. International Journal of E-Business Research. 3(1). 41–50. 7 indexed citations
14.
Chiang, David M., et al.. (2006). A WIP-based exception-management model for integrated circuit back-end production processes. The International Journal of Advanced Manufacturing Technology. 33(11-12). 1263–1274. 12 indexed citations
15.
Guo, Ruey‐Shan, et al.. (2006). Supply Chain Inventory Control in Semiconductor Manufacturing. 66–69. 2 indexed citations
16.
Teng, Ching‐I, Fan‐Chen Tseng, & David M. Chiang. (2005). Customer-capturing strategies: The way to replace existing technology characterized by network effects. Technovation. 26(12). 1384–1389. 15 indexed citations
17.
Chiang, David M. & Ching‐I Teng. (2005). Consumption Externalities: Review and Future Research Opportunities. 3(1). 15–38. 1 indexed citations
18.
Chiang, David M., et al.. (2003). Prediction of stone disease by discriminant analysis and artificial neural networks in genetic polymorphisms: a new method. British Journal of Urology. 91(7). 661–666. 23 indexed citations
19.
Hsia, Te‐Chun, et al.. (2003). Prediction of survival in surgical unresectable lung cancer by artificial neural networks including genetic polymorphisms and clinical parameters. Journal of Clinical Laboratory Analysis. 17(6). 229–234. 19 indexed citations
20.
Chern, Ching-Chin, et al.. (2002). Development of a DSS to Estimate the Sales for the Retailing Industry in Taiwan. Journal of the Association for Information Systems. 1 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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