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.
Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery
Countries citing papers authored by Jonathan Cheung-Wai Chan
Since
Specialization
Citations
This map shows the geographic impact of Jonathan Cheung-Wai Chan'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 Jonathan Cheung-Wai Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Cheung-Wai Chan more than expected).
Fields of papers citing papers by Jonathan Cheung-Wai Chan
This network shows the impact of papers produced by Jonathan Cheung-Wai Chan. 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 Jonathan Cheung-Wai Chan. The network helps show where Jonathan Cheung-Wai Chan may publish in the future.
Co-authorship network of co-authors of Jonathan Cheung-Wai Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Cheung-Wai Chan.
A scholar is included among the top collaborators of Jonathan Cheung-Wai Chan 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 Jonathan Cheung-Wai Chan. Jonathan Cheung-Wai Chan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Satyanarayana, Behara, et al.. (2012). Vegetation structure at Zhanjiang Mangrove National Nature Reserve (ZMNNR), P.R. China: comparison between original and non-original trees using ground truth, remote sensing and GIS techniques. Flanders Marine Institute (Flanders Marine Institute). 55. 31.2 indexed citations
15.
Chan, Jonathan Cheung-Wai, et al.. (2009). Automatic image registration of multi-angle imagery for CHRIS/PROBA. VUBIR (Vrije Universiteit Brussel).3 indexed citations
16.
Chan, Jonathan Cheung-Wai, et al.. (2009). Use of superresolution enhanced CHRIS/Proba images for land-cover classification and spectral unmixing. VUBIR (Vrije Universiteit Brussel).4 indexed citations
17.
Chan, Jonathan Cheung-Wai. (2008). AN EVALUATION OF ECOTOPE CLASSIFICATION USING SUPERRESOLUTION IMAGES DERIVED FROM CHRIS/PROBA DATA. VUBIR (Vrije Universiteit Brussel).9 indexed citations
18.
Chan, Jonathan Cheung-Wai, Jingsheng Ma, Pieter Kempeneers, et al.. (2008). Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 6-11 July 2008, Boston, Massachusetts, USA.5 indexed citations
19.
Chan, Jonathan Cheung-Wai, et al.. (2004). Remote Sensing Minefield Area Reduction: Model-Based Approaches for the Extraction of Minefield Indicators. VUBIR (Vrije Universiteit Brussel). 553. 18.3 indexed citations
20.
Chan, Jonathan Cheung-Wai, Kwok-Ping Chan, & Anthony Gar‐On Yeh. (2001). Detecting the nature of change in an urban environment : A comparison of machine learning algorithms. Photogrammetric Engineering & Remote Sensing. 67(2). 213–225.121 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.