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.
Input-to-state stability of impulsive and switching hybrid systems with time-delay
This map shows the geographic impact of Jun Liu'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 Jun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Liu more than expected).
This network shows the impact of papers produced by Jun Liu. 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 Jun Liu. The network helps show where Jun Liu may publish in the future.
Co-authorship network of co-authors of Jun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Liu.
A scholar is included among the top collaborators of Jun Liu 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 Jun Liu. Jun Liu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liu, Jun. (2017). Robust Abstractions for Control Synthesis: Completeness via Robustness for Linear-Time Properties. arXiv (Cornell University). 101–110.6 indexed citations
10.
Liu, Jun, et al.. (2016). Fuzzy Control Strategy of Direct-Drive Wind Power System Based on State Feedback. 40(9). 2763.3 indexed citations
Liu, Jun, et al.. (2014). Network Traffic Prediction Using Radial Basis Function Neural Network Optimized by Ant Colony Algorithm. SHILAP Revista de lepidopterología.3 indexed citations
13.
Liu, Jun, Dequan Li, & Zhixiang Yin. (2013). Distributed subgradient method for multi-agent optimization with communication delays. Chinese Control Conference. 6762–6767.1 indexed citations
14.
Zhang, Ning, Chongqing Kang, Yutian Zhou, et al.. (2012). Evaluation of Receiving-end Credible Capacity for Joint Delivery of Wind Power and Conventional Electricity Generation. Proceedings of the CSEE.4 indexed citations
15.
Liu, Jun. (2011). PV Tracking Sun Controller Based on MCU. Water Resources and Power.
16.
Liu, Jun. (2011). Forecast of Railway Short-term Passenger Flow based on RBF Neural Network.2 indexed citations
17.
Liu, Jun. (2010). Developing the Dragon and Lion Dance,Carrying on and Promoting the Traditions of National Sports.1 indexed citations
18.
Liu, Jun, et al.. (2009). Network Virus Propagation Model Based on Effects of Removing Time and User Vigilance.. International journal of network security. 9. 156–163.6 indexed citations
19.
Liu, Jun. (2008). Transformer fault diagnosis approach based on DGA and neural network. Mechanical & Electrical Engineering Magazine.1 indexed citations
20.
Liu, Jun. (2001). A NEW DATUM FUSION TECHNIQUE FOR PATTERN RECOGNITION OF FOUR CHARACTERISTIC GASES IN TRANSFORMER OIL. Proceedings of the Csee.
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.