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.
Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests
This map shows the geographic impact of Y.A. Hussin'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 Y.A. Hussin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y.A. Hussin more than expected).
This network shows the impact of papers produced by Y.A. Hussin. 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 Y.A. Hussin. The network helps show where Y.A. Hussin may publish in the future.
Co-authorship network of co-authors of Y.A. Hussin
This figure shows the co-authorship network connecting the top 25 collaborators of Y.A. Hussin.
A scholar is included among the top collaborators of Y.A. Hussin 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 Y.A. Hussin. Y.A. Hussin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hussin, Y.A., et al.. (2017). Tree height derived from point clouds of UAV compared to airborne laser scanning and its effect on estimating biomass and carbon stock in tropical rain forest of Malaysia. University of Twente Research Information.1 indexed citations
Singh, Sarnam, et al.. (2013). Under-storey vegetation carbon characterization of Shorea robusta (Sal) forests using ground data and geospatial techniques.. Indian Forester. 139(7). 576–584.1 indexed citations
11.
Hussin, Y.A., et al.. (2004). Detection and characterization of selective logging using remote sensing and GIS in tropical forest of East Kalimantan. University of Twente Research Information. 4(3). 57–70.3 indexed citations
12.
Musa, Mirko, Y.A. Hussin, & M.J.C. Weir. (2004). Remotely sensed multi - data fusion for forest resources management. University of Twente Research Information. 4(3). 45–56.1 indexed citations
13.
Hussin, Y.A., et al.. (2004). Analysis of physical factors affecting illegal logging of tropical forest of berau, East Kalimantan, Indonesia using remote sensing and GIS. University of Twente Research Information.1 indexed citations
14.
Hussin, Y.A., et al.. (2001). ASSESSMENT OF FOREST RECOVERY AFTER FIRE USING LANDSAT TM IMAGES AND GIS TECHNIQUES: A CASE STUDY OF MAE WONG NATIONAL PARK, THAILAND. University of Twente Research Information. 544–549.3 indexed citations
15.
Fauzi, Anas Miftah, Y.A. Hussin, & M.J.C. Weir. (2001). A comparison between neural networks and maximum likelihood remotely sensed data classifiers to detect tropical rain logged - over forest in Indonesia. University of Twente Research Information. 616–621.4 indexed citations
16.
Hussin, Y.A., et al.. (1997). Measurements and estimations of forest stand parameters using remote sensing. University of Twente Research Information.14 indexed citations
17.
Hussin, Y.A., et al.. (1996). Optical and radar satellite image fusion techniques and their applications in monitoring natural resources and land use changes. AEU - International Journal of Electronics and Communications. 50(2). 169–176.3 indexed citations
18.
Hussin, Y.A., et al.. (1996). Monitoring forest degradation in East Java, Indonesia using remote sensing and GIS. University of Twente Research Information.2 indexed citations
19.
Reich, Robin M. & Y.A. Hussin. (1993). Estimating average stand biomass for a regional forest inventory using radar backscatter. University of Twente Research Information. 82–87.1 indexed citations
20.
Hussin, Y.A. & R. M. Hoffer. (1989). Relationships between multipolarized radar backscatter and slash pine stand parameters. NASA Technical Reports Server (NASA).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.