Hung-da Wan

594 citations
21 papers · 351 · h-index 11

Impact in

Papers in

Hung-da Wan

19 papers receiving 324 citations

Peers

Hung-da Wan
Comparison fields: 5 of 65
  • Management Information Systems 140
  • Industrial and Manufacturing Engineering 139
  • Medical Laboratory Technology 13
  • Strategy and Management 117
  • Management of Technology and Innovation 38
Replace Claire Palmer with:
Claire Palmer United Kingdom
Abdellah Abouabdellah Morocco
Sara Antomarioni Italy
Volker Stich Germany
Syed Imran Shafiq Australia
Alexis Aubry France
Ralph Riedel Germany
Paweł Pawlewski Poland
Nebil Buyurgan United States
William de Paula Ferreira Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Hung-da Wan

Since Specialization
Citations

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

Fields of papers citing papers by Hung-da Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung-da Wan. 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 Hung-da Wan. The network helps show where Hung-da Wan may publish in the future.

Co-authors

The 17 scholars most cited alongside Hung-da Wan, 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 Hung-da Wan Line = papers co-authored together Hung-da Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200967
2 201245
3 200941
4 201827
5 201227
6 201826
7 201823
8 201919
9 201016
10 201915
11 201514
12 20119
13 20095
14 20204
15 20184
16 20203
17 20203
18 20201
19 20201
20 20241

About Hung-da Wan

Hung-da Wan is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Management Science and Operations Research, Information Systems and Control and Systems Engineering, having authored 21 papers that have together received 351 indexed citations. Recurring topics across this work include Quality and Supply Management (5 papers), Smart Grid Security and Resilience (4 papers), Digital Transformation in Industry (4 papers), Information and Cyber Security (4 papers), Manufacturing Process and Optimization (3 papers), Operations Management Techniques (3 papers), Reliability and Maintenance Optimization (2 papers) and Big Data and Business Intelligence (2 papers). The work is most often cited by research in Management Information Systems (140 citations), Industrial and Manufacturing Engineering (139 citations), Medical Laboratory Technology (13 citations), Strategy and Management (117 citations) and Management of Technology and Innovation (38 citations). Hung-da Wan has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include F. Frank Chen, Can Saygin, Sanjay Kumar Shukla, Manoj Kumar Tiwari, Ravi Shankar, Li Nie, Beizhi Li, Shanshan Wu, Susanne Schmidt and L. Aubree Shay. Their work appears in journals such as Robotics and Computer-Integrated Manufacturing, Computers in Industry, Journal of Biomechanical Engineering, Expert Systems with Applications 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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