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.
UnDeepVO: Monocular Visual Odometry Through Unsupervised Deep Learning
This map shows the geographic impact of Dongbing Gu'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 Dongbing Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongbing Gu more than expected).
This network shows the impact of papers produced by Dongbing Gu. 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 Dongbing Gu. The network helps show where Dongbing Gu may publish in the future.
Co-authorship network of co-authors of Dongbing Gu
This figure shows the co-authorship network connecting the top 25 collaborators of Dongbing Gu.
A scholar is included among the top collaborators of Dongbing Gu 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 Dongbing Gu. Dongbing Gu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lv, Peng, Qingjie Zhao, & Dongbing Gu. (2016). Tracking Non-Rigid Target via Dynamic Discriminative Geodesic Active Contours.. Journal of information science and engineering. 32. 903–930.1 indexed citations
11.
Hu, Huosheng, et al.. (2012). A scheme for the generation of strong cryptographic key pairs based on ICMetrics. Open Access at Essex (University of Essex). 168–174.7 indexed citations
12.
Gu, Dongbing, et al.. (2012). A Survey of Deterministic Vs. Non-Deterministic Node Placement Schemes in WSNs. 154–158.9 indexed citations
13.
Gu, Dongbing, Robert J. Howlett, & Honghai Liu. (2010). Robot Intelligence: An Advanced Knowledge Processing Approach. Springer eBooks.4 indexed citations
14.
Omar, Rosli & Dongbing Gu. (2009). Visibility line based methods for UAV path planning. 2009 ICCAS-SICE. 3176–3181.14 indexed citations
15.
Gu, Dongbing, et al.. (2009). State estimation in the case of loss of observations. 2009 ICCAS-SICE. 1840–1845.14 indexed citations
Yang, Erfu & Dongbing Gu. (2005). A survey on multiagent reinforcement learning towards multi-robot systems. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 292–299.10 indexed citations
19.
Gu, Dongbing & Huosheng Hu. (2002). Reinforcement learning of fuzzy logic controllers for quadruped walking robots. 15(1). 825–825.14 indexed citations
20.
Gu, Dongbing, et al.. (1998). Outdoor navigation of a mobile robot with multiple sensors. Proceedings of SPIE - The International Society for Optical Engineering. 3210. 13–24.2 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.