Recent　years　have　witnessed　significant　scientific　advancements　and　applications　in　the　fields　of　Environmentally　Extended　Input-Output　(EEIO)　models　and　complex　network　analysis,　often　merging　innovatively.　Despite　this　progress,　comprehensive　studies　on　the　research　patterns,　trends,　and　under-explored　topics　in　each　field　individually,　and　at　their　intersection,　remain　sparse.　Using　the　Word2vec　model,　this　study　addresses　these　gaps　to　analyze　172,509　papers　published　from　2000　to　2023.　Our　results　show　that　the　EEIO　domain　focuses　primarily　on　life　cycle　assessment　(LCA),　carbon　footprints,　environmental　impacts,　sustainability,　and　greenhouse　gas　emissions.　In　contrast,　complex　network　analysis　is　predominantly　applied　in　biology,　bioinformatics,　medicine,　and　computer　science.　We　identified　230　emerging　and　rising　keywords　in　these　fields,　outnumbering　the　103　keywords　in　decline,　with　429　keywords　remaining　stable.　Cross-integrated　studies　highlight　the　importance　of　LCA　in　the　EEIO　field　and　social　network　analysis　in　the　complex　network　field.　To　enhance　the　cross-pollination　of　these　disciplines,　we　recommend　increasing　the　focus　on　water　footprint　analysis,　renewable　energy　studies,　and　community　detection　techniques　alongside　other　dynamic　topics.　This　study　aims　to　stimulate　future　research　and　innovation　at　the　convergence　of　EEIO　models　and　complex　network　analysis.　©　2024　Elsevier　Ltd