Ming-Hung Wang

457 citations
52 papers · 264 · h-index 8

Impact in

Papers in

Ming-Hung Wang

49 papers receiving 254 citations

Peers

Ming-Hung Wang
Comparison fields: 5 of 92
  • Safety Research 30
  • Conservation 9
  • Computer Networks and Communications 59
  • Sociology and Political Science 70
  • Occupational Therapy 6
Replace Finn Thorbjørn Hansen with:
Finn Thorbjørn Hansen Denmark
Tim Jacquemard Ireland
Scott Dexter United States
Jean Song United States
Miso Kim United States
Sanghyun Park South Korea
JooYoung Seo United States
Mark McMahon Australia
David Torres Irribarra Chile
Clare Hooper United Kingdom
Ming-Hung Wang relative to Finn Thorbjørn Hansen Denmark Finn Thorbjørn Hansen's profile →
Citations per field
00.5×
Finn Thorbjørn Hansen · 1×
Citations per year

Countries citing papers authored by Ming-Hung Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Hung Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200336
2 201725
3 200824
4 202419
5 200816
6 201611
7 20189
8 20168
9 20226
10 20126
11 20166
12 20096
13 20216
14 19976
15 20205
16 20185
17 20175
18 19975
19 20204
20 20164

About Ming-Hung Wang

Ming-Hung Wang is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Networks and Communications, Communication and Information Systems, having authored 52 papers that have together received 264 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (9 papers), Social Media and Politics (7 papers), Network Security and Intrusion Detection (6 papers), Cryptography and Data Security (4 papers), Misinformation and Its Impacts (4 papers), Caching and Content Delivery (4 papers), Inclusion and Disability in Education and Sport (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Safety Research (30 citations), Conservation (9 citations), Computer Networks and Communications (59 citations), Sociology and Political Science (70 citations) and Occupational Therapy (6 citations). Ming-Hung Wang has collaborated with scholars based in Taiwan, United States and Malaysia. Frequent co-authors include Chin‐Laung Lei, Po-Wen Chi, Fong Chan, Kenneth R. Thomas, Gladys L.Y. Cheing, Fong Chan, L.‐W. Antony Chen, Eun‐Jeong Lee, Chien‐Chao Tseng and Li‐Hsing Yen. Their work appears in journals such as Journal of Asian Architecture and Building Engineering, Rehabilitation Counseling Bulletin, Rehabilitation Psychology, IEEE Access and Sensors.

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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