Wartini Ng

1.5k total citations · 1 hit paper
33 papers, 1.0k citations indexed

About

Wartini Ng is a scholar working on Environmental Engineering, Artificial Intelligence and Soil Science. According to data from OpenAlex, Wartini Ng has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Environmental Engineering, 11 papers in Artificial Intelligence and 10 papers in Soil Science. Recurrent topics in Wartini Ng's work include Soil Geostatistics and Mapping (24 papers), Geochemistry and Geologic Mapping (11 papers) and Soil Carbon and Nitrogen Dynamics (9 papers). Wartini Ng is often cited by papers focused on Soil Geostatistics and Mapping (24 papers), Geochemistry and Geologic Mapping (11 papers) and Soil Carbon and Nitrogen Dynamics (9 papers). Wartini Ng collaborates with scholars based in Australia, United States and South Korea. Wartini Ng's co-authors include Budiman Minasny, Alex B. McBratney, José Padarian, Maryam Montazerolghaem, Richard Ferguson, Wanderson de Sousa Mendes, José Alexandre Melo Demattê, Brendan Malone, Edward J. Jones and Patrick Filippi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Soil Science Society of America Journal.

In The Last Decade

Wartini Ng

27 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

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.

Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra

2019 331 citations Wartini Ng, Budiman Minasny et al. Geoderma profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wartini Ng Australia	14	532	377	283	172	155	33	1.0k
Said Nawar Belgium	19	1.1k 2.0×	583 1.5×	729 2.6×	170 1.0×	319 2.1×	30	1.6k
Mohammad Reza Maleki Iran	14	509 1.0×	299 0.8×	191 0.7×	198 1.2×	153 1.0×	23	961
Dongyun Xu China	15	595 1.1×	308 0.8×	494 1.7×	125 0.7×	192 1.2×	34	1.2k
André Carnieletto Dotto Brazil	17	799 1.5×	302 0.8×	532 1.9×	256 1.5×	190 1.2×	28	1.0k
Guo Xi China	19	322 0.6×	146 0.4×	202 0.7×	189 1.1×	227 1.5×	70	1.1k
Yongsheng Hong China	27	1.2k 2.3×	678 1.8×	883 3.1×	257 1.5×	502 3.2×	51	1.9k
Nuwan K. Wijewardane United States	17	390 0.7×	299 0.8×	215 0.8×	97 0.6×	230 1.5×	34	936
Muhammad Abdul Munnaf Belgium	14	401 0.8×	199 0.5×	177 0.6×	89 0.5×	142 0.9×	29	638
Nikolaos Tsakiridis Greece	15	445 0.8×	225 0.6×	288 1.0×	92 0.5×	197 1.3×	42	773
Johanna Wetterlind Sweden	23	987 1.9×	353 0.9×	603 2.1×	432 2.5×	332 2.1×	48	1.5k

Countries citing papers authored by Wartini Ng

Since Specialization

Citations

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

Fields of papers citing papers by Wartini Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wartini Ng

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ng, Wartini, et al.. (2025). Mapping the distribution and magnitude of soil inorganic and organic carbon stocks across Australia. Geoderma. 456. 117239–117239.

Francos, Nicolas, Amin Sharififar, José Padarian, et al.. (2025). The global pedogenon map: Combining and spatialising the factors of soil formation. Geoderma. 460. 117462–117462. 2 indexed citations

Ng, Wartini, et al.. (2025). Accessible Soil Spectroscopy: Evaluating Low‐Cost Vis– NIR Spectrometers for Resource‐Constrained Environments. European Journal of Soil Science. 76(6).

Ng, Wartini, et al.. (2025). Characterising and quantifying soil clay-sized minerals using mid-infrared spectroscopy. Soil and Tillage Research. 252. 106590–106590. 2 indexed citations

Francos, Nicolas, et al.. (2025). Advancing Soil Security with Soil Spectroscopy: The efficient estimation of indicators. SHILAP Revista de lepidopterología. 21. 100211–100211.

Francos, Nicolas, et al.. (2025). Assessing Soil Condition and Capacity Using the Global Pedogenon Map Within the Americas’ Horse Latitudes. CATENA. 259. 109372–109372.

Sharififar, Amin, Nicolas Francos, Wartini Ng, et al.. (2025). Navigating the challenges of spectral soil sensing: Key solutions for success. SHILAP Revista de lepidopterología. 3(3). 100160–100160.

Ng, Wartini, et al.. (2025). Creating soil districts for Australia based on pedogenon mapping. Geoderma. 454. 117164–117164. 6 indexed citations

Ng, Wartini, et al.. (2024). Redesigning the soil Tea Bag Index methodology for school and citizen science in Australia. Soil Research. 62(3). 1 indexed citations

10.

Ng, Wartini, José Padarian, Tom O’Donoghue, et al.. (2024). Estimating surrogates, utility graphs and indicator sets for soil capacity and security assessments using legacy data. Soil Research. 62(2). 6 indexed citations

11.

Ng, Wartini, et al.. (2024). Predicting soil properties for fertiliser recommendation in South Korea using MIR spectroscopy. Geoderma Regional. 39. e00901–e00901. 3 indexed citations

12.

Ng, Wartini, et al.. (2024). Exploring mid‐infrared spectral transfer functions for the prediction of multiple soil properties using a global dataset. Soil Science Society of America Journal. 88(4). 1234–1247. 3 indexed citations

13.

Francos, Nicolas, Alex B. McBratney, Damien J. Field, et al.. (2024). Valuing and integrating soil roles in assessing the capital dimension of soil security: An Australian case study. SHILAP Revista de lepidopterología. 16. 100141–100141. 5 indexed citations

14.

Ng, Wartini, Budiman Minasny, Alex B. McBratney, Patrice de Caritat, & John Wilford. (2023). Digital soil mapping of lithium in Australia. Earth system science data. 15(6). 2465–2482. 7 indexed citations

15.

Ng, Wartini, et al.. (2022). Mid-infrared spectroscopy for accurate measurement of an extensive set of soil properties for assessing soil functions. SHILAP Revista de lepidopterología. 6. 100043–100043. 68 indexed citations

16.

Pino, Vanessa, et al.. (2021). Boosting soil citizen-science using Tea Bag Index method towards soil security in Australia. SHILAP Revista de lepidopterología. 5. 100016–100016. 7 indexed citations

17.

Ng, Wartini, Budiman Minasny, Wanderson de Sousa Mendes, & José Alexandre Melo Demattê. (2020). The influence of training sample size on the accuracy of deep learning models for the prediction of soil properties with near-infrared spectroscopy data. SOIL. 6(2). 565–578. 130 indexed citations

18.

Ng, Wartini, Budiman Minasny, Wanderson de Sousa Mendes, & José Alexandre Melo Demattê. (2019). Estimation of effective calibration sample size using visible near infrared spectroscopy: deep learning vs machine learning. 19 indexed citations

19.

Ng, Wartini, Budiman Minasny, & Alex B. McBratney. (2019). Convolutional neural network for soil microplastic contamination screening using infrared spectroscopy. The Science of The Total Environment. 702. 134723–134723. 106 indexed citations

20.

Ng, Wartini, Brendan Malone, & Budiman Minasny. (2016). Rapid assessment of petroleum-contaminated soils with infrared spectroscopy. Geoderma. 289. 150–160. 51 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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