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.
Large Language Models Can Self-Improve
2023107 citationsJiaxin Huang, Shixiang Gu et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Xuezhi 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 Xuezhi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuezhi Wang more than expected).
This network shows the impact of papers produced by Xuezhi 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 Xuezhi Wang. The network helps show where Xuezhi Wang may publish in the future.
Co-authorship network of co-authors of Xuezhi Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xuezhi Wang.
A scholar is included among the top collaborators of Xuezhi 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 Xuezhi Wang. Xuezhi Wang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yang, Yanbo, et al.. (2016). A comparison of iteratively reweighted least squares and Kalman Filter with EM in measurement error covariance estimation. RMIT Research Repository (RMIT University Library). 286–291.2 indexed citations
13.
Wang, Xuezhi & Jeff Schneider. (2015). Generalization bounds for transfer learning under model shift. Uncertainty in Artificial Intelligence. 922–931.4 indexed citations
14.
Wang, Xuezhi, et al.. (2014). Landmark selection for scene matching with knowledge of color histogram. RMIT Research Repository (RMIT University Library). 1–8.3 indexed citations
15.
Wang, Xuezhi, Tzu-Kuo Huang, & Jeff Schneider. (2014). Active Transfer Learning under Model Shift. International Conference on Machine Learning. 1305–1313.30 indexed citations
16.
Wang, Xuezhi, Yongqiang Cheng, Mark R. Morelande, & Bill Moran. (2011). Bearings-only sensor trajectory scheduling using accumulative information. RMIT Research Repository (RMIT University Library). 682–688.2 indexed citations
17.
Cheng, Yongqiang, Xuezhi Wang, Hongqiang Wang, et al.. (2011). Information resolution of joint detection-tracking systems. RMIT Research Repository (RMIT University Library). 675–681.1 indexed citations
18.
Wang, Xuezhi, et al.. (2008). Feature aided probabilistic data association for multi-target tracking. International Conference on Information Fusion. 1–7.11 indexed citations
19.
Wang, Xuezhi. (2006). The relation of rutting behavior and social status of male Golden takin(Budorcas taxicolor bedfordi). Acta Theriologica Sinica.5 indexed citations
20.
Ge, Feng, et al.. (2003). [Life-table of Helicoverpa armigera in northern China and characters of population development in southern and northern China].. PubMed. 14(2). 241–5.12 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.