Chih‐Yung Chang

176 papers receiving 2.4k citations

Peers

Chih‐Yung Chang
Comparison fields: 5 of 130
  • Computer Networks and Communications 1.3k
  • Electrical and Electronic Engineering 1.2k
  • Computer Vision and Pattern Recognition 359
  • Biomedical Engineering 227
  • Materials Chemistry 202
Replace Piyush Agrawal with:
Piyush Agrawal United States
Minjian Zhao China
Yuanfang Chen China
Weiping Wang China
Vamsi Paruchuri United States
Ricardo Jiménez Spain
Yingtao Jiang United States
Joo‐Ho Lee Japan
Xiaoyan Wang China
Chih‐Yung Chang relative to Piyush Agrawal United States Piyush Agrawal's profile →
Citations per field
00.5×1.5×2.3×
Piyush Agrawal · 1×
Citations per year

Countries citing papers authored by Chih‐Yung Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Yung Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Yung Chang. 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 Chih‐Yung Chang. The network helps show where Chih‐Yung Chang may publish in the future.

Co-authorship network of co-authors of Chih‐Yung Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Yung Chang. A scholar is included among the top collaborators of Chih‐Yung Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chih‐Yung Chang. Chih‐Yung Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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The Development and Implementation of Scaffolding-Based Self-Regulated Learning System for e/m-Learning
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Some Studies on Technology Support for Outdoor Mobile Learning
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BlueCube: Constructing a hypercube parallel computing and communication environment over Bluetooth radio systems
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A FaultTolerant Model for Replication in Distributed File Systems.
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About Chih‐Yung Chang

Chih‐Yung Chang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture, having authored 197 papers that have together received 2.5k indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (60 papers), Energy Efficient Wireless Sensor Networks (58 papers) and Opportunistic and Delay-Tolerant Networks (37 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Electrical and Electronic Engineering (1.2k citations) and Computer Vision and Pattern Recognition (359 citations). Chih‐Yung Chang has collaborated with scholars based in Taiwan, China and India. Frequent co-authors include Shenghui Zhao, Chao-Tsun Chang, Guilin Chen, Aiguo Wang, Kuei‐Ping Shih, Cuijuan Shang, Jing Yang, Michitoshi Hayashi, Yu‐Chieh Chen and Diptendu Sinha Roy. Their work appears in journals such as The Journal of Chemical Physics, Applied Physics Letters and The Science of The Total Environment.

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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