J. Hower
Geochemistry and Petrology · 2008–2022
A researcher in the Science corpus: 8 papers; trusts 2 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Geochemistry and Petrology — 39 citations into it; #87 of 273 by trust here, #139 by citations
- Building and Construction — 19 citations into it; #1,419 of 2,909 by trust here, #2,170 by citations
Whom J. Hower trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts J. Hower overall
Papers from J. Hower's perspective
Ordered by how strongly the researchers J. Hower trusts endorse each paper. Same corpus, a different order for every researcher.
- A review of the multi-component utilisation of coal fly ash
- Estimation of gross calorific value of coals using artificial neural networks
- Ultrafine ash aerosols from coal combustion: Characterization and health effects ☆
- Size distribution of unburned carbon in coal fly ash and its implications
- Characteristics and composition of fly ash from Canadian coal-fired power plants
- Autoassociative neural networks
- Coal deposits as potential alternative sources for lanthanides and yttrium
- Coal deposits as promising sources of rare metals for alternative power and energy-efficient technologies
- Pathologic criteria for nonalcoholic steatohepatitis: Interprotocol agreement and ability to predict liver‐related mortality (Hepatology)
- Nonalcoholic fatty liver disease and hepatocellular carcinoma: A weighty connection (Hepatology)
Their papers
- A review of rare earth elements and yttrium in coal ash: content, modes of occurrences, combustion behavior, and extraction methods (2022) — 150 citations
- Effects of roasting additives and leaching parameters on the extraction of rare earth elements from coal fly ash (2018) — 156 citations
- Aqueous acid and alkaline extraction of rare earth elements from coal combustion ash (2018) — 141 citations
- Coal-derived unburned carbons in fly ash: A review (2017) — 198 citations
- Explaining relationships between coke quality index and coal properties by Random Forest method (2016) — 77 citations
- Notes on the origin of inertinite macerals in coal: Evidence for fungal and arthropod transformations of degraded macerals (2011) — 115 citations
- Estimation of free-swelling index based on coal analysis using multivariable regression and artifici (2011) — 47 citations
- Prediction of coal grindability based on petrography, proximate and ultimate analysis using multiple regression and artificial neural network models (2008) — 119 citations