Kuang‐Ching Wang

2.2k total citations · 1 hit paper
79 papers, 1.5k citations indexed

About

Kuang‐Ching Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Kuang‐Ching Wang has authored 79 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Networks and Communications, 41 papers in Electrical and Electronic Engineering and 7 papers in Signal Processing. Recurrent topics in Kuang‐Ching Wang's work include Wireless Networks and Protocols (15 papers), Mobile Ad Hoc Networks (15 papers) and Software-Defined Networks and 5G (12 papers). Kuang‐Ching Wang is often cited by papers focused on Wireless Networks and Protocols (15 papers), Mobile Ad Hoc Networks (15 papers) and Software-Defined Networks and 5G (12 papers). Kuang‐Ching Wang collaborates with scholars based in United States, China and Taiwan. Kuang‐Ching Wang's co-authors include Ganesh K. Venayagamoorthy, Richard R. Brooks, Guneet Bedi, Rajendra Singh, Yong Huang, Tang Lei, Parameswaran Ramanathan, Fangming Gu, Kewal K. Saluja and Melissa C. Smith and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology and IEEE Transactions on Industrial Informatics.

In The Last Decade

Kuang‐Ching Wang

74 papers receiving 1.4k citations

Hit Papers

Review of Internet of Things (IoT) in Electric Power and ... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuang‐Ching Wang United States 15 859 723 230 196 151 79 1.5k
Xiaozhen Lu China 16 959 1.1× 834 1.2× 206 0.9× 415 2.1× 247 1.6× 54 1.8k
Hyogon Kim South Korea 20 924 1.1× 552 0.8× 122 0.5× 348 1.8× 89 0.6× 114 1.3k
Ali Balador Sweden 16 397 0.5× 377 0.5× 177 0.8× 138 0.7× 144 1.0× 47 934
Nazmus Shaker Nafi Australia 12 360 0.4× 386 0.5× 175 0.8× 188 1.0× 150 1.0× 40 915
Axel Sikora Germany 16 522 0.6× 574 0.8× 224 1.0× 137 0.7× 165 1.1× 170 1.2k
Jochen Seitz Germany 17 479 0.6× 626 0.9× 124 0.5× 137 0.7× 69 0.5× 107 1.1k
Arunita Jaekel Canada 19 856 1.0× 1.1k 1.6× 191 0.8× 134 0.7× 92 0.6× 131 1.4k
Andrey Koucheryavy Russia 20 970 1.1× 635 0.9× 102 0.4× 194 1.0× 247 1.6× 116 1.5k
Nabil Benamar Morocco 19 941 1.1× 517 0.7× 182 0.8× 158 0.8× 134 0.9× 80 1.5k
Jiadai Wang China 17 961 1.1× 784 1.1× 147 0.6× 308 1.6× 305 2.0× 51 1.7k

Countries citing papers authored by Kuang‐Ching Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kuang‐Ching Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuang‐Ching Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuang‐Ching Wang. A scholar is included among the top collaborators of Kuang‐Ching Wang 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 Kuang‐Ching Wang. Kuang‐Ching Wang 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.
Wang, Kuang‐Ching, et al.. (2025). Efficient resource management using 5G multi-connectivity for high throughput and reliable low latency communication. EURASIP Journal on Wireless Communications and Networking. 2025(1).
2.
Wang, Kuang‐Ching, et al.. (2023). Enabling Robust Communication Among Military Ground Vehicles Using Multi-Connectivity. SAE International Journal of Advances and Current Practices in Mobility. 6(1). 111–120. 4 indexed citations
3.
Pirrallo, Ronald G., et al.. (2021). Diabetes Patient Surveillance in the Emergency Department: Proof of Concept and Opportunities. Western Journal of Emergency Medicine. 22(3). 636–643. 1 indexed citations
4.
Wang, Kuang‐Ching, et al.. (2021). 5G-IoT Architecture for Next Generation Smart Systems. 241–246. 22 indexed citations
5.
6.
Baldin, Ilya, James Griffioen, Inder Monga, et al.. (2020). FABRIC: A National-ScaleProgrammable ExperimentalNetwork Infrastructure. IEEE Internet Computing. 23(6). 1 indexed citations
7.
Baldin, Ilya, James Griffioen, Inder Monga, et al.. (2019). FABRIC: A National-Scale Programmable Experimental Network Infrastructure. IEEE Internet Computing. 23(6). 38–47. 88 indexed citations
8.
Bedi, Guneet, Ganesh K. Venayagamoorthy, Rajendra Singh, Richard R. Brooks, & Kuang‐Ching Wang. (2018). Review of Internet of Things (IoT) in Electric Power and Energy Systems. IEEE Internet of Things Journal. 5(2). 847–870. 507 indexed citations breakdown →
9.
10.
Han, Wonkyu, Hongxin Hu, Ziming Zhao, et al.. (2016). State-aware Network Access Management for Software-Defined Networks. 12. 1–11. 12 indexed citations
11.
Feltus, F. Alex, et al.. (2015). The Widening Gulf between Genomics Data Generation and Consumption: A Practical Guide to Big Data Transfer Technology. Bioinformatics and Biology Insights. 9s1(Suppl 1). BBI.S28988–BBI.S28988. 12 indexed citations
12.
Deng, Juan, Hongxin Hu, Hongda Li, et al.. (2015). VNGuard: An NFV/SDN combination framework for provisioning and managing virtual firewalls. 107–114. 38 indexed citations
13.
Zhou, Yan, Mashrur Chowdhury, Kuang‐Ching Wang, & Kakan Dey. (2013). Evaluation of Wireless Communication Performance Between Adjacent Nodes for Intelligent Transportation Systems Applications. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 1 indexed citations
14.
Hart, Jonathan, T. Murakami, Masayoshi Kobayashi, et al.. (2013). Seamless interworking of SDN and IP. ACM SIGCOMM Computer Communication Review. 43(4). 475–476. 24 indexed citations
16.
Zhou, Yan, Mashrur Chowdhury, Kuang‐Ching Wang, & Yongchang Ma. (2009). Wireless Traffic Sensor Network Performance due to Environmental Disturbances and Relay Network Topology: Simulation Analysis. Transportation Research Board 88th Annual MeetingTransportation Research Board. 2 indexed citations
17.
Wang, Kuang‐Ching, et al.. (2008). An interference and QOS aware distributed scheduling approach for hybrid IEEE 802.16E mesh networks. 1–7. 3 indexed citations
18.
Chowdhury, Mashrur, et al.. (2007). A distributed wireless sensor network system for transportation safety and security. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6538. 653807–653807. 2 indexed citations
19.
Wang, Kuang‐Ching, et al.. (2005). Real-time Traffic Monitoring and Automated Response with Wireless Sensor Networks. 4 indexed citations
20.
Clouqueur, Thomas, Parameswaran Ramanathan, Kewal K. Saluja, & Kuang‐Ching Wang. (2001). Value-Fusion versus Decision-Fusion for Fault-tolerance in Collaborative Target Detection in Sensor Networks. 53 indexed citations

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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