W.M. Wang

1.9k citations
43 papers · 1.4k · h-index 20

Impact in

Papers in

W.M. Wang

43 papers receiving 1.4k citations

Peers

W.M. Wang
Comparison fields: 5 of 109
  • Industrial and Manufacturing Engineering 310
  • Management Information Systems 254
  • Information Systems 522
  • Strategy and Management 307
  • Management of Technology and Innovation 136
Replace Chun‐Che Huang with:
Chun‐Che Huang Taiwan
Runliang Dou China
Rory V. O’Connor Ireland
Jian Jin China
Guofang Nan China
Xiaofeng Wang Italy
Péter Bernus Australia
Manuel E. Sosa United States
Nikolay Mehandjiev United Kingdom
V. Vaishnavi India
W.M. Wang relative to Chun‐Che Huang Taiwan Chun‐Che Huang's profile →
Citations per field
00.5×2.8×
Chun‐Che Huang · 1×
Citations per year

Countries citing papers authored by W.M. Wang

Since Specialization
Citations

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

Fields of papers citing papers by W.M. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017201
2 2019166
3 201897
4 202094
5 201991
6 201962
7 201859
8 200359
9 201953
10 201846
11 201845
12 201838
13 201333
14 200729
15 201929
16 200425
17 201725
18 200624
19 201221
20 201020

About W.M. Wang

W.M. Wang is a scholar working on Information Systems, Artificial Intelligence, Management Information Systems, Social Psychology and Strategy and Management, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Color perception and design (7 papers), Blockchain Technology Applications and Security (7 papers), AI-based Problem Solving and Planning (5 papers), Multisensory perception and integration (4 papers), Big Data and Business Intelligence (4 papers), Semantic Web and Ontologies (4 papers), Advanced Text Analysis Techniques (4 papers) and Digital Storytelling and Education (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (310 citations), Management Information Systems (254 citations), Information Systems (522 citations), Strategy and Management (307 citations) and Management of Technology and Innovation (136 citations). W.M. Wang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Zhi Li, Ali Vatankhah Barenji, Chi Fai Cheung, George Q. Huang, Hanyang Guo, Wing Bun Lee, Eric Tsui, Meina Cheng, S.K. Kwok and David A. Guerra-Zubiaga. Their work appears in journals such as Expert Systems with Applications, Engineering Applications of Artificial Intelligence, Journal of Engineering Design, International Journal of Production Research and International Journal of Computer Integrated Manufacturing.

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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