Chien‐Min Wang

759 citations
75 papers · 479 · h-index 13

Impact in

Papers in

Chien‐Min Wang

66 papers receiving 456 citations

Peers

Chien‐Min Wang
Comparison fields: 5 of 56
  • Hardware and Architecture 151
  • Computer Networks and Communications 233
  • Information Systems 115
  • Software 18
  • Artificial Intelligence 86
Replace João F. Ferreira with:
João F. Ferreira Portugal
Nitin Nitin India
Guannan Guo United States
Jiaguang Sun China
Arun Raman United States
Seong-je Cho South Korea
Meng Lee United States
Li Shen China
Sheng Wang China
Chien‐Min Wang relative to João F. Ferreira Portugal João F. Ferreira's profile →
Citations per field
00.5×3.6×
João F. Ferreira · 1×
Citations per year

Countries citing papers authored by Chien‐Min Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Min Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Min 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 Chien‐Min Wang. The network helps show where Chien‐Min Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201274
2
2009 11th IEEE International Conference on High Performance Computing and Communications HPCC 2009
200925
3 200923
4 199721
5 199119
6 201818
7 199117
8 199017
9 202117
10 199814
11 200314
12 201114
13 201112
14 200412
15 200612
16 201311
17 199010
18 202010
19 19928
20 19967

About Chien‐Min Wang

Chien‐Min Wang is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Materials Chemistry, having authored 75 papers that have together received 479 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (21 papers), Distributed and Parallel Computing Systems (16 papers), Advanced Data Storage Technologies (13 papers), Interconnection Networks and Systems (12 papers), Cloud Computing and Resource Management (11 papers), Ferroelectric and Piezoelectric Materials (10 papers), Microwave Dielectric Ceramics Synthesis (6 papers) and Distributed systems and fault tolerance (6 papers). The work is most often cited by research in Hardware and Architecture (151 citations), Computer Networks and Communications (233 citations), Information Systems (115 citations), Software (18 citations) and Artificial Intelligence (86 citations). Chien‐Min Wang has collaborated with scholars based in Taiwan, United States and Slovenia. Frequent co-authors include Syh‐Yuh Cheng, San‐Yuan Chen, Jan‐Jan Wu, Hsi‐Min Chen, Pangfeng Liu, Yang Syu, Wei‐Chung Hsu, Pen-Chung Yew, Yeh‐Ching Chung and Joshua W. K. Ho. Their work appears in journals such as Journal of the American Ceramic Society, Materials Chemistry and Physics, IEEE Transactions on Parallel and Distributed Systems, Parallel Computing and Journal of Parallel and Distributed Computing.

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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