Chad Melton

473 total citations
9 papers, 312 citations indexed

About

Chad Melton is a scholar working on Sociology and Political Science, Artificial Intelligence and Health. According to data from OpenAlex, Chad Melton has authored 9 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 4 papers in Artificial Intelligence and 3 papers in Health. Recurrent topics in Chad Melton's work include Misinformation and Its Impacts (4 papers), Vaccine Coverage and Hesitancy (3 papers) and Hate Speech and Cyberbullying Detection (2 papers). Chad Melton is often cited by papers focused on Misinformation and Its Impacts (4 papers), Vaccine Coverage and Hesitancy (3 papers) and Hate Speech and Cyberbullying Detection (2 papers). Chad Melton collaborates with scholars based in United States. Chad Melton's co-authors include Arash Shaban‐Nejad, Sheng Hu, Dibyendu Mukherjee, Nariman Ammar, Olufunto A. Olusanya, Gabriel A. Goenaga, Thomas A. Zawodzinski, Robert A. Bednarczyk, Robert L. Davis and David Hughes and has published in prestigious journals such as The Science of The Total Environment, Applied Catalysis B: Environmental and Physical Chemistry Chemical Physics.

In The Last Decade

Chad Melton

9 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chad Melton United States 5 99 79 69 65 63 9 312
K. P. Krishna Kumar Taiwan 9 128 1.3× 58 0.7× 25 0.4× 67 1.0× 4 0.1× 13 351
Juanjuan Sun China 11 27 0.3× 9 0.1× 9 0.1× 130 2.0× 26 0.4× 36 388
Angran Li United States 12 62 0.6× 9 0.1× 19 0.3× 8 0.1× 13 0.2× 30 441
T. V. Padma India 10 22 0.2× 23 0.3× 12 0.2× 52 0.8× 40 0.6× 59 317
Zhenrong Wang China 15 20 0.2× 15 0.2× 39 0.6× 160 2.5× 29 0.5× 41 721
Hanyu Liu China 12 59 0.6× 5 0.1× 164 2.4× 226 3.5× 143 2.3× 39 657
Huiling Huang China 11 20 0.2× 16 0.2× 6 0.1× 160 2.5× 34 0.5× 49 402
David Jones United States 10 26 0.3× 26 0.3× 6 0.1× 51 0.8× 7 0.1× 25 421
Jiayao Jiang China 9 39 0.4× 14 0.2× 27 0.4× 75 1.2× 2 0.0× 28 252
Pingping Yin China 8 22 0.2× 5 0.1× 37 0.5× 132 2.0× 16 0.3× 14 338

Countries citing papers authored by Chad Melton

Since Specialization
Citations

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

Fields of papers citing papers by Chad Melton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Melton

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

All Works

9 of 9 papers shown
1.
Melton, Chad, et al.. (2023). Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis. BMJ Health & Care Informatics. 30(1). e100665–e100665. 14 indexed citations
3.
Melton, Chad, et al.. (2022). Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study. Journal of Medical Internet Research. 24(10). e40408–e40408. 23 indexed citations
4.
Melton, Chad, Olufunto A. Olusanya, Nariman Ammar, & Arash Shaban‐Nejad. (2022). Sentiment Analysis of the Covid-19 Vaccines on Social Media. Studies in health technology and informatics. 290. 1056–1057. 1 indexed citations
5.
Melton, Chad, Olufunto A. Olusanya, Nariman Ammar, & Arash Shaban‐Nejad. (2021). Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence. Journal of Infection and Public Health. 14(10). 1505–1512. 121 indexed citations
6.
Tate, Christopher, et al.. (2020). Artificial illumination identification from an unmanned aerial vehicle. Journal of Applied Remote Sensing. 14(3). 3 indexed citations
7.
Melton, Chad, et al.. (2019). Temporal multispectral and 3D analysis of Cerro de Pasco, Peru. The Science of The Total Environment. 706. 135640–135640. 3 indexed citations
8.
Hu, Sheng, Gabriel A. Goenaga, Chad Melton, Thomas A. Zawodzinski, & Dibyendu Mukherjee. (2015). PtCo/CoO nanocomposites: Bifunctional electrocatalysts for oxygen reduction and evolution reactions synthesized via tandem laser ablation synthesis in solution-galvanic replacement reactions. Applied Catalysis B: Environmental. 182. 286–296. 96 indexed citations
9.
Hu, Sheng, Chad Melton, & Dibyendu Mukherjee. (2014). A facile route for the synthesis of nanostructured oxides and hydroxides of cobalt using laser ablation synthesis in solution (LASIS). Physical Chemistry Chemical Physics. 16(43). 24034–24044. 48 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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