Brandon Heung

2.5k total citations · 1 hit paper
64 papers, 1.8k citations indexed

About

Brandon Heung is a scholar working on Environmental Engineering, Soil Science and Ecology. According to data from OpenAlex, Brandon Heung has authored 64 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Environmental Engineering, 20 papers in Soil Science and 18 papers in Ecology. Recurrent topics in Brandon Heung's work include Soil Geostatistics and Mapping (39 papers), Remote Sensing in Agriculture (13 papers) and Geochemistry and Geologic Mapping (12 papers). Brandon Heung is often cited by papers focused on Soil Geostatistics and Mapping (39 papers), Remote Sensing in Agriculture (13 papers) and Geochemistry and Geologic Mapping (12 papers). Brandon Heung collaborates with scholars based in Canada, Iran and Germany. Brandon Heung's co-authors include Margaret Schmidt, Chuck Bulmer, Anders Knudby, Jin Zhang, Ruhollah Taghizadeh‐Mehrjardi, Thomas Scholten, Hung Chak Ho, Young Chang, Jaemyung Shin and Tri Nguyen-Quang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Brandon Heung

60 papers receiving 1.8k citations

Hit Papers

An overview and comparison of machine-learning techniques... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brandon Heung Canada 20 1.0k 448 414 393 292 64 1.8k
Pierre Roudier New Zealand 19 1.1k 1.1× 704 1.6× 488 1.2× 382 1.0× 247 0.8× 45 2.0k
Alexandre M.J.‐C. Wadoux Australia 25 1.3k 1.3× 672 1.5× 474 1.1× 466 1.2× 104 0.4× 55 1.9k
Mojtaba Zeraatpisheh Iran 25 1.4k 1.4× 933 2.1× 546 1.3× 613 1.6× 213 0.7× 56 2.3k
Elia Scudiero United States 21 831 0.8× 362 0.8× 467 1.1× 179 0.5× 294 1.0× 56 1.6k
Xiaodong Song China 22 782 0.8× 691 1.5× 430 1.0× 248 0.6× 189 0.6× 48 1.9k
Shengxiang Xu China 21 613 0.6× 926 2.1× 400 1.0× 291 0.7× 244 0.8× 50 1.7k
Vera Leatitia Mulder Netherlands 21 1.6k 1.6× 889 2.0× 628 1.5× 585 1.5× 100 0.3× 42 2.1k
Scott T. Drummond United States 22 1.4k 1.4× 658 1.5× 598 1.4× 197 0.5× 845 2.9× 57 2.5k
Elpídio Inácio Fernandes Filho Brazil 25 874 0.8× 482 1.1× 599 1.4× 373 0.9× 272 0.9× 126 2.3k
Fabio Castaldi Italy 26 1.4k 1.3× 425 0.9× 1.0k 2.4× 718 1.8× 297 1.0× 48 1.9k

Countries citing papers authored by Brandon Heung

Since Specialization
Citations

This map shows the geographic impact of Brandon Heung'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 Brandon Heung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon Heung more than expected).

Fields of papers citing papers by Brandon Heung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brandon Heung. 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 Brandon Heung. The network helps show where Brandon Heung may publish in the future.

Co-authorship network of co-authors of Brandon Heung

This figure shows the co-authorship network connecting the top 25 collaborators of Brandon Heung. A scholar is included among the top collaborators of Brandon Heung 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 Brandon Heung. Brandon Heung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
John, Kingsley, Daniel D. Saurette, & Brandon Heung. (2025). The problematic case of data leakage: A case for leave-profile-out cross-validation in 3-dimensional digital soil mapping. Geoderma. 455. 117223–117223. 3 indexed citations
2.
Schmidt, Margaret, Daniel D. Saurette, Chuck Bulmer, et al.. (2025). Advancing digital soil mapping with multi-year crop cover data: Impacts on model accuracy and soil interpretation. Geoderma. 461. 117481–117481.
3.
Comeau, Louis‐Pierre, et al.. (2025). The importance of zeros in digital soil mapping I: a review. Geoderma. 464. 117636–117636.
4.
Heydari, Mehdi, et al.. (2024). Incorporating forest canopy openness and environmental covariates in predicting soil organic carbon in oak forest. Soil and Tillage Research. 244. 106220–106220. 9 indexed citations
5.
Comeau, Louis‐Pierre, et al.. (2024). Characterization of carbon dioxide emissions from late stage windrow composting. Frontiers in Environmental Science. 12. 1 indexed citations
6.
Percival, David, et al.. (2024). Remote estimation of leaf nitrogen content, leaf area, and berry yield in wild blueberries. SHILAP Revista de lepidopterología. 5. 2 indexed citations
7.
Kebonye, Ndiye Michael, Kingsley John, Manuel Delgado‐Baquerizo, et al.. (2024). Major overlap in plant and soil organic carbon hotspots across Africa. The Science of The Total Environment. 951. 175476–175476. 3 indexed citations
8.
John, Kingsley, et al.. (2024). Effect of biochar treatment on soil pH and cucumber fruit: A demonstration of the importance of biochar amendment on the tropical soils of Nigeria. Journal of Soil and Water Conservation. 79(4). 202–210. 1 indexed citations
10.
Schmidt, Margaret, et al.. (2024). A framework for optimizing environmental covariates to support model interpretability in digital soil mapping. Geoderma. 445. 116873–116873. 27 indexed citations
11.
Chang, Young, et al.. (2024). Application of a Real-Time Field-Programmable Gate Array-Based Image-Processing System for Crop Monitoring in Precision Agriculture. AgriEngineering. 6(3). 3345–3361. 1 indexed citations
12.
Esau, Travis J., et al.. (2024). Enhancing surface drainage mapping in eastern Canada with deep learning applied to LiDAR-derived elevation data. Scientific Reports. 14(1). 10016–10016. 1 indexed citations
13.
Schmidt, Margaret, Daniel D. Saurette, Jin Zhang, et al.. (2023). A framework for recalibrating pedotransfer functions using nonlinear least squares and estimating uncertainty using quantile regression. Geoderma. 439. 116674–116674. 7 indexed citations
14.
Heydari, Mehdi, et al.. (2023). Species distribution models of Brant's oak (Quercus brantii Lindl.): The impact of spatial database on predicting the impacts of climate change. Ecological Engineering. 194. 107038–107038. 19 indexed citations
15.
Sinclair, Rodney, et al.. (2023). Incidence and prevalence of alopecia areata in the Australian primary care setting: A retrospective analysis of electronic health record data. Australasian Journal of Dermatology. 64(3). 330–338. 12 indexed citations
16.
Shin, Jaemyung, et al.. (2022). Trends and Prospect of Machine Vision Technology for Stresses and Diseases Detection in Precision Agriculture. AgriEngineering. 5(1). 20–39. 34 indexed citations
17.
Nabiollahi, Kamal, Masoud Davari, Mojtaba Zeraatpisheh, et al.. (2022). Spatial prediction of soil properties through hybridized random forest model and combination of reflectance spectroscopy and environmental covariates. Geocarto International. 37(27). 18172–18195. 7 indexed citations
18.
Fathizad, Hassan, Ruhollah Taghizadeh‐Mehrjardi, Mohammad Ali Hakimzadeh Ardakani, et al.. (2022). Spatiotemporal Assessment of Soil Organic Carbon Change Using Machine-Learning in Arid Regions. Agronomy. 12(3). 628–628. 23 indexed citations
19.
Saurette, Daniel D., et al.. (2022). Mapping the maximum peat thickness of cultivated organic soils in the southwest plain of Montreal. Canadian Journal of Soil Science. 103(1). 103–120. 16 indexed citations
20.
Taghizadeh‐Mehrjardi, Ruhollah, et al.. (2022). A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties. Remote Sensing. 14(3). 472–472. 22 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.

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