S. David Wu

4.4k citations
62 papers · 3.1k · 1 hit paper · h-index 26

Impact in

Papers in

S. David Wu

58 papers receiving 2.9k citations

S. David Wu's Hit Papers

New Search Spaces for Sequencing Problems with Application to Job Shop Scheduling 1992 · 379 citations
3790+11+22Years since publication100200300

Peers

S. David Wu
Comparison fields: 5 of 94
  • Industrial and Manufacturing Engineering 1.6k
  • Management Information Systems 1.3k
  • Management Science and Operations Research 854
  • Strategy and Management 621
  • Marketing 311
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Michael J. Magazine United States
Enver Yücesan France
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Countries citing papers authored by S. David Wu

Since Specialization
Citations

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

Fields of papers citing papers by S. David Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. David Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. David Wu Line = papers co-authored together S. David Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004424
2
New Search Spaces for Sequencing Problems with Application to Job Shop Scheduling
Hit paper breakdown →
1992379
3 1994265
4 1993189
5 2004157
6 2005149
7 1999140
8 2005125
9 1999109
10 200390
11
200085
12 200682
13 200067
14 200553
15 200253
16 200251
17 200250
18 200143
19 200143
20 200641

About S. David Wu

S. David Wu is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering, Management Information Systems, Marketing and Computer Networks and Communications, having authored 62 papers that have together received 3.1k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (19 papers), Supply Chain and Inventory Management (18 papers), Auction Theory and Applications (12 papers), Advanced Manufacturing and Logistics Optimization (10 papers), Consumer Market Behavior and Pricing (7 papers), Assembly Line Balancing Optimization (6 papers), Sustainable Supply Chain Management (5 papers) and Optimization and Search Problems (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.6k citations), Management Information Systems (1.3k citations), Management Science and Operations Research (854 citations), Strategy and Management (621 citations) and Marketing (311 citations). S. David Wu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Robert H. Storer, David Simchi‐Levi, Zuo‐Jun Max Shen, Süleyman Karabük, Murat Erkoc, V. Jorge Leon, Erhan Kutanoğlu, Mingzhou Jin, Kadir Ertoğral and Pei‐Chann Chang. Their work appears in journals such as Operations Research, International Journal of Production Research, SAE technical papers on CD-ROM/SAE technical paper series, Annals of Operations Research and Computers & Industrial Engineering.

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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