Chih‐Yung Chang

3.4k total citations
197 papers, 2.5k citations indexed

About

Chih‐Yung Chang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chih‐Yung Chang has authored 197 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Computer Networks and Communications, 90 papers in Electrical and Electronic Engineering and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chih‐Yung Chang's work include Mobile Ad Hoc Networks (60 papers), Energy Efficient Wireless Sensor Networks (58 papers) and Opportunistic and Delay-Tolerant Networks (37 papers). Chih‐Yung Chang is often cited by papers focused on Mobile Ad Hoc Networks (60 papers), Energy Efficient Wireless Sensor Networks (58 papers) and Opportunistic and Delay-Tolerant Networks (37 papers). Chih‐Yung Chang collaborates with scholars based in Taiwan, China and India. Chih‐Yung Chang's 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 and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and The Science of The Total Environment.

In The Last Decade

Chih‐Yung Chang

176 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chih‐Yung Chang Taiwan 24 1.3k 1.2k 359 227 202 197 2.5k
Piyush Agrawal United States 21 601 0.5× 1.2k 1.0× 159 0.4× 229 1.0× 197 1.0× 62 2.0k
Xiaoyan Wang China 29 800 0.6× 1.8k 1.4× 175 0.5× 538 2.4× 206 1.0× 227 2.8k
Heung-No Lee South Korea 29 683 0.5× 1.3k 1.0× 461 1.3× 527 2.3× 1.1k 5.2× 174 4.2k
Martin Nilsson Sweden 22 1.4k 1.1× 626 0.5× 218 0.6× 266 1.2× 96 0.5× 132 3.1k
Minjian Zhao China 32 1.4k 1.1× 3.3k 2.7× 297 0.8× 207 0.9× 536 2.7× 291 5.0k
Weiping Wang China 31 1.0k 0.8× 1.4k 1.1× 294 0.8× 97 0.4× 158 0.8× 167 2.9k
Muhammad Zeeshan Shakir United Kingdom 23 783 0.6× 1.9k 1.6× 99 0.3× 193 0.9× 245 1.2× 124 2.7k
Xueqin Jiang China 22 437 0.3× 982 0.8× 75 0.2× 288 1.3× 351 1.7× 198 2.0k
Joo‐Ho Lee Japan 25 163 0.1× 1.0k 0.8× 803 2.2× 352 1.6× 463 2.3× 285 2.9k
Vamsi Paruchuri United States 22 573 0.4× 1.0k 0.8× 60 0.2× 153 0.7× 231 1.1× 130 1.8k

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
1.
Zhang, Qiaoyun, Chih‐Yung Chang, Xuan Li, Cuijuan Shang, & Diptendu Sinha Roy. (2024). IEET: Improving Emergent Events Transmission for Home Elderly Care With Multi-Layer BLE Topology Control. IEEE Transactions on Consumer Electronics. 70(3). 5326–5339.
2.
3.
Li, Xuan, et al.. (2023). JECP: Joint Energy Conservation and Collision Avoidance for Path Construction in Bluetooth Networks. IEEE Sensors Journal. 23(9). 10168–10178. 1 indexed citations
4.
Chang, Chih‐Yung, et al.. (2022). Mobile Charger Recharge Scheduling Algorithm based on Data Quality in Wireless Sensor Networks. 37–38. 1 indexed citations
5.
Wang, Aiguo, et al.. (2020). Activities of Daily Living Recognition With Binary Environment Sensors Using Deep Learning: A Comparative Study. IEEE Sensors Journal. 21(4). 5423–5433. 23 indexed citations
6.
Shang, Cuijuan, et al.. (2020). DEDC: Joint Density-Aware and Energy-Limited Path Construction for Data Collection Using Mobile Sink in WSNs. IEEE Access. 8. 78942–78955. 25 indexed citations
7.
Zhang, Qiaoyun, Guilin Chen, Chih‐Yung Chang, & Cheng‐Chang Chen. (2018). MATR: A Mobility-Aware Topology Restructuring Scheme for Bluetooth Body Area Networks. 網際網路技術學刊. 19(2). 391–402.
8.
Wang, Aiguo, Guilin Chen, Xi Wu, et al.. (2018). Towards Human Activity Recognition: A Hierarchical Feature Selection Framework. Sensors. 18(11). 3629–3629. 34 indexed citations
9.
Chang, Chao-Tsun, et al.. (2016). A location-aware power saving mechanism based on quorum systems for multi-hop mobile ad hoc networks. Ad Hoc Networks. 53. 94–109. 6 indexed citations
10.
Chang, Chih‐Yung, et al.. (2013). A Multi-channel MAC Protocol for Improving Channel Utilization in Wireless Networks. 579–584. 1 indexed citations
11.
Chang, Chao-Tsun, et al.. (2013). Throughput enhancement by exploiting spatial reuse opportunities with smart antenna systems in wireless ad hoc networks. Computer Networks. 57(13). 2483–2498. 5 indexed citations
12.
Chang, Chih‐Yung, et al.. (2011). Integration of Project-Based Learning Strategy with Mobile Learning: Case Study of Mangrove Wetland Ecology Exploration Project. Tamkang University Institutional Repository (TKUIR). 14(3). 265–273. 10 indexed citations
13.
Shih, Kuei‐Ping, et al.. (2010). The Development and Implementation of Scaffolding-Based Self-Regulated Learning System for e/m-Learning. Educational Technology & Society. 13(1). 80–93. 68 indexed citations
14.
Chang, Chao-Tsun, et al.. (2008). TMCP: Two-layer multicast communication protocol for Bluetooth radio networks. Computer Networks. 52(14). 2764–2778. 3 indexed citations
15.
Chang, Chih‐Yung, et al.. (2007). Hierarchical management protocol for constructing a QoS communication path in wireless Ad Hoc networks. Information Sciences. 177(13). 2621–2641. 9 indexed citations
16.
Chang, Chao-Tsun, Chih‐Yung Chang, & Jang‐Ping Sheu. (2006). BlueCube: Constructing a hypercube parallel computing and communication environment over Bluetooth radio systems. THE journal. 2 indexed citations
17.
Chang, Chih‐Yung, et al.. (2006). Some Studies on Technology Support for Outdoor Mobile Learning. EdMedia: World Conference on Educational Media and Technology. 2006(1). 1170–1177. 1 indexed citations
18.
Chang, Chih‐Yung, et al.. (2003). Obstacle-Free Geocasting Protocols for Single/Multi-Destination Short Message Services in Ad Hoc Networks. Wireless Networks. 9(2). 143–155. 33 indexed citations
19.
Hayashi, Michitoshi, Tsung‐Fu Yang, Chih‐Yung Chang, et al.. (2000). Application of the density matrix method to spectroscopy and dynamics of photosynthetic reaction centers. International Journal of Quantum Chemistry. 80(4-5). 1043–1054. 6 indexed citations
20.
Chang, Chih‐Yung, et al.. (1997). A FaultTolerant Model for Replication in Distributed File Systems.. 77–92.

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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