W.H. Ip

10.8k citations
402 papers · 8.2k · h-index 45

Impact in

Papers in

W.H. Ip

385 papers receiving 7.8k citations

Peers

W.H. Ip
Comparison fields: 5 of 157
  • Industrial and Manufacturing Engineering 1.1k
  • Management Information Systems 848
  • Astronomy and Astrophysics 1.4k
  • Management of Technology and Innovation 450
  • Management Science and Operations Research 837
Replace Sang Chan Park with:
Sang Chan Park South Korea
Olivier L. De Weck United States
Joaquín B. Ordieres-Meré Spain
Zhiwu Li China
Michael Bell United States
Usama M. Fayyad United States
Madjid Tavana D United States
Robert J. Vanderbei United States
Ben James Hicks United Kingdom
Oded Maimon Israel
W.H. Ip relative to Sang Chan Park South Korea Sang Chan Park's profile →
Citations per field
00.5×2×3×3.5×
Sang Chan Park · 1×
Citations per year

Countries citing papers authored by W.H. Ip

Since Specialization
Citations

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

Fields of papers citing papers by W.H. Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.H. Ip. 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 W.H. Ip. The network helps show where W.H. Ip may publish in the future.

Co-authors

The 25 scholars most cited alongside W.H. Ip, 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 W.H. Ip Line = papers co-authored together W.H. Ip links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 402 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011251
2 2000212
3 2015206
4 2016174
5 2002151
6
Is Naïve bayes a good classifier for document classification
2011137
7 2017133
8 2010130
9 2011128
10 2014127
11 2017124
12 2010113
13 2002110
14 2011103
15 201391
16 200185
17 201579
18 201377
19 201076
20 201274

About W.H. Ip

W.H. Ip is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Management Science and Operations Research, Astronomy and Astrophysics and Strategy and Management, having authored 402 papers that have together received 8.2k indexed citations. Recurring topics across this work include Astro and Planetary Science (34 papers), Scheduling and Optimization Algorithms (33 papers), Supply Chain and Inventory Management (26 papers), Metaheuristic Optimization Algorithms Research (25 papers), ERP Systems Implementation and Impact (20 papers), Multi-Criteria Decision Making (14 papers), Vehicle Routing Optimization Methods (13 papers) and Quality and Supply Management (13 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.1k citations), Management Information Systems (848 citations), Astronomy and Astrophysics (1.4k citations), Management of Technology and Innovation (450 citations) and Management Science and Operations Research (837 citations). W.H. Ip has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Dingwei Wang, Kai Leung Yung, C.H. Wu, Junwei Wang, C.K. Kwong, Carman Lee, Wenjun Zhang, G.T.S. Ho, Min Huang and Hongfeng Wang. Their work appears in journals such as Expert Systems with Applications, Enterprise Information Systems, The International Journal of Advanced Manufacturing Technology, Industrial Management & Data Systems 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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