A glance at solid waste disposal research progress using bibliometric analysis

Solid waste disposal is a complex field. Based on bibliometric analysis method, the research progress of solid waste disposal was evaluated with Web of Science core database, VOSviewer and Citespace. It shows that the strongest burst keywords, neural networks first appeared in 2008 and have been developing ever since. Then, the models and higher heating value appeared after 2016 and 2020, respectively. In 2008–2024, 70 % of the top journals and 30 % of the top paper related with energy production prediction. The hot spots are municipal solid waste (59.5 %), resource generation and heat treatment (54.4 %), neural network (77.3 %), and optimization and prediction (58 %). Overall, energy production prediction and sustainable development are the main research progress of the field by introducing machine learning method. This research provides reference value of the future research on solid waste disposal.