Steven E. Zhang

1.2k total citations · 1 hit paper
42 papers, 830 citations indexed

About

Steven E. Zhang is a scholar working on Mechanical Engineering, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Steven E. Zhang has authored 42 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Mechanical Engineering, 26 papers in Artificial Intelligence and 10 papers in Environmental Engineering. Recurrent topics in Steven E. Zhang's work include Geochemistry and Geologic Mapping (26 papers), Mineral Processing and Grinding (23 papers) and Hydrocarbon exploration and reservoir analysis (8 papers). Steven E. Zhang is often cited by papers focused on Geochemistry and Geologic Mapping (26 papers), Mineral Processing and Grinding (23 papers) and Hydrocarbon exploration and reservoir analysis (8 papers). Steven E. Zhang collaborates with scholars based in South Africa, Canada and Sweden. Steven E. Zhang's co-authors include Yousef Ghorbani, Julie E. Bourdeau, Glen T. Nwaila, Hartwig E. Frimmel, Jan Rosenkranz, Maria Pettersson, Gregory Poelzer, Raymond Durrheim, J. Arzúa and Manuel Cánovas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Steven E. Zhang

41 papers receiving 805 citations

Hit Papers

Sustainability challenges throughout the electric vehicle... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven E. Zhang South Africa 16 348 241 126 114 111 42 830
Glen T. Nwaila South Africa 17 330 0.9× 245 1.0× 59 0.5× 109 1.0× 110 1.0× 51 812
Mu’azu Mohammed Abdullahi Saudi Arabia 22 219 0.6× 152 0.6× 148 1.2× 107 0.9× 249 2.2× 38 1.4k
Julie E. Bourdeau South Africa 15 265 0.8× 227 0.9× 42 0.3× 102 0.9× 102 0.9× 45 686
Abdalrhman Milad Malaysia 24 198 0.6× 100 0.4× 128 1.0× 106 0.9× 491 4.4× 67 1.8k
Jianqin Zheng China 23 234 0.7× 231 1.0× 409 3.2× 126 1.1× 45 0.4× 45 1.2k
Ogheneruona E. Diemuodeke Nigeria 18 309 0.9× 52 0.2× 359 2.8× 95 0.8× 61 0.5× 61 1.2k
Jorge Loy-Benitez South Korea 21 102 0.3× 124 0.5× 203 1.6× 373 3.3× 155 1.4× 32 1.0k
Alicja Krzemień Poland 17 356 1.0× 46 0.2× 154 1.2× 60 0.5× 73 0.7× 42 904
Armin Razmjoo Spain 21 194 0.6× 84 0.3× 518 4.1× 163 1.4× 125 1.1× 35 1.5k
Zhi Yu China 24 424 1.2× 62 0.3× 93 0.7× 199 1.7× 132 1.2× 97 1.6k

Countries citing papers authored by Steven E. Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Steven E. Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven E. Zhang. 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 Steven E. Zhang. The network helps show where Steven E. Zhang may publish in the future.

Co-authorship network of co-authors of Steven E. Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Steven E. Zhang. A scholar is included among the top collaborators of Steven E. Zhang 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 Steven E. Zhang. Steven E. Zhang 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.
Parsa, Mohammad, C J M Lawley, Steven E. Zhang, et al.. (2025). Pan-Canadian Predictive Modeling of Lithium–Cesium–Tantalum Pegmatites with Deep Learning and Natural Language Processing. Natural Resources Research. 34(2). 639–668. 5 indexed citations
2.
Zhang, Steven E., et al.. (2025). Mineral Prospectivity Modeling of Graphite Deposits and Occurrences in Canada. Natural Resources Research. 34(3). 1243–1270. 2 indexed citations
3.
Zhang, Steven E., et al.. (2025). Recursive Annotation for Negative Labeling in Data-Driven Mineral Prospectivity Mapping. Natural Resources Research. 34(5). 2373–2402.
4.
Zhang, Steven E., Julie E. Bourdeau, Glen T. Nwaila, Mohammad Parsa, & Yousef Ghorbani. (2024). Denoising of Geochemical Data using Deep Learning–Implications for Regional Surveys. Natural Resources Research. 33(2). 495–520. 10 indexed citations
5.
Zhang, Steven E., C J M Lawley, Julie E. Bourdeau, Glen T. Nwaila, & Yousef Ghorbani. (2024). Workflow-Induced Uncertainty in Data-Driven Mineral Prospectivity Mapping. Natural Resources Research. 33(3). 995–1023. 11 indexed citations
6.
Nwaila, Glen T., Steven E. Zhang, Julie E. Bourdeau, et al.. (2024). Mineral Reconnaissance Through Scientific Consensus: First National Prospectivity Maps for PGE–Ni–Cu–Cr and Witwatersrand-type Au Deposits in South Africa. Natural Resources Research. 33(6). 2357–2384. 7 indexed citations
7.
Lawley, C J M, et al.. (2024). Geospatial Data and Deep Learning Expose ESG Risks to Critical Raw Materials Supply: The Case of Lithium. SHILAP Revista de lepidopterología. 4(1). 11 indexed citations
8.
9.
Zhang, Steven E., et al.. (2023). Big geochemical data through remote sensing for dynamic mineral resource monitoring in tailing storage facilities. SHILAP Revista de lepidopterología. 4. 137–149. 7 indexed citations
10.
Bourdeau, Julie E., Steven E. Zhang, C J M Lawley, et al.. (2023). Predictive Geochemical Exploration: Inferential Generation of Modern Geochemical Data, Anomaly Detection and Application to Northern Manitoba. Natural Resources Research. 32(6). 2355–2386. 8 indexed citations
11.
Nwaila, Glen T., Steven E. Zhang, Julie E. Bourdeau, Hartwig E. Frimmel, & Yousef Ghorbani. (2023). Spatial Interpolation Using Machine Learning: From Patterns and Regularities to Block Models. Natural Resources Research. 33(1). 129–161. 18 indexed citations
12.
Zhang, Steven E., Julie E. Bourdeau, Glen T. Nwaila, & Yousef Ghorbani. (2022). Advanced geochemical exploration knowledge using machine learning: Prediction of unknown elemental concentrations and operational prioritization of Re-analysis campaigns. SHILAP Revista de lepidopterología. 3. 86–100. 9 indexed citations
13.
Nwaila, Glen T., Hartwig E. Frimmel, Steven E. Zhang, et al.. (2022). The minerals industry in the era of digital transition: An energy-efficient and environmentally conscious approach. Resources Policy. 78. 102851–102851. 59 indexed citations
14.
Nwaila, Glen T., Steven E. Zhang, Julie E. Bourdeau, Yousef Ghorbani, & Emmanuel John M. Carranza. (2022). Artificial intelligence-based anomaly detection of the Assen iron deposit in South Africa using remote sensing data from the Landsat-8 Operational Land Imager. SHILAP Revista de lepidopterología. 3. 71–85. 11 indexed citations
17.
Nwaila, Glen T., et al.. (2021). Valorisation of mine waste - Part II: Resource evaluation for consolidated and mineralised mine waste using the Central African Copperbelt as an example. Journal of Environmental Management. 299. 113553–113553. 23 indexed citations
18.
Zhang, Steven E., Julie E. Bourdeau, Glen T. Nwaila, & D Corrigan. (2021). Towards a fully data-driven prospectivity mapping methodology: A case study of the Southeastern Churchill Province, Québec and Labrador. SHILAP Revista de lepidopterología. 2. 128–147. 8 indexed citations
20.
Ghorbani, Yousef, et al.. (2020). Repurposing legacy metallurgical data Part I: A move toward dry laboratories and data bank. Minerals Engineering. 159. 106646–106646. 6 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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