Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Communication and networking technologies for UAVs: A survey
2020235 citationsAbhishek Sharma, Chathuranga M. Wijerathna Basnayaka et al.Journal of Network and Computer Applicationsprofile →
Autonomous Vehicles Enabled by the Integration of IoT, Edge Intelligence, 5G, and Blockchain
2023101 citationsHwang-Cheng Wang et al.Sensorsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Hwang-Cheng Wang
Since
Specialization
Citations
This map shows the geographic impact of Hwang-Cheng 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 Hwang-Cheng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hwang-Cheng Wang more than expected).
Fields of papers citing papers by Hwang-Cheng Wang
This network shows the impact of papers produced by Hwang-Cheng 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 Hwang-Cheng Wang. The network helps show where Hwang-Cheng Wang may publish in the future.
Co-authorship network of co-authors of Hwang-Cheng Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Hwang-Cheng Wang.
A scholar is included among the top collaborators of Hwang-Cheng 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 Hwang-Cheng Wang. Hwang-Cheng Wang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Hwang-Cheng, et al.. (2023). Autonomous Vehicles Enabled by the Integration of IoT, Edge Intelligence, 5G, and Blockchain. Sensors. 23(4). 1963–1963.101 indexed citations breakdown →
Sharma, Abhishek, et al.. (2020). Communication and networking technologies for UAVs: A survey. Journal of Network and Computer Applications. 168. 102739–102739.235 indexed citations breakdown →
7.
Wang, Hwang-Cheng, et al.. (2017). Improving Device-to-Device Communication Performance in 5G Networks through Joint Power Control and Resource Allocation. International journal of communication. 2.1 indexed citations
Wang, Hwang-Cheng, et al.. (2012). Accurate analysis of delay and power consumption of LTE DRX mechanism with a combination of short and long cycles. Wireless Personal Multimedia Communications. 384–388.13 indexed citations
15.
Wang, Hwang-Cheng, et al.. (2012). Call admission control based resource allocation scheme for LTE uplink. Wireless Personal Multimedia Communications. 554–558.7 indexed citations
16.
Chiu, Chien‐Wen, et al.. (2012). UHF RFID PIFA array tag antenna for human body applications. Wireless Personal Multimedia Communications. 434–437.7 indexed citations
Wang, Hwang-Cheng, et al.. (2011). Decision of mobile devices enabling HT and non-HT MAC of 802.11n based on the consideration of energy efficiency. 1–7.
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.