Diesel　engines　are　widely　used　in　medium　and　heavy　vehicles　because　of　higher　dynamic　performance　and　lower　oil　consumption.　However,　the　problems　about　pollution　of　diesel　exhaust　emission　begin　to　stand　out.　Selective　Catalytic　Reduction　Technology　is　one　of　the　main　methods　of　emission　treatment　of　diesel-engine　applications.　This　paper　uses　the　literatures　which　are　retrieved　from　the　Web　of　Science　as　data　source.　With　the　information　visualization　software　Citespace,　exploring　the　development　trend　of　the　Selective　Catalyst　Reduction　Technology　for　diesel　engine.　Through　keywords　burst　detection　to　determine　hot　words　of　frontier　topics;　and　building　heterogeneous　clustering　network　of　keywords　and　co-citation　literatures　to　reveal　the　frontier　framework.　Finally,　retrieving　innovative　literatures　based　on　frontier　knowledge　and　co-citation　literature　clusters;　then　refining　frontier　topics　of　the　Selective　Catalyst　Reduction　Technology.　The　results　show　that　current　research　on　SCR　technology　for　diesel　engine　is　focused　on　the　load,　performance　and　denitrification　efficiency　of　copper　supported　on　different　carriers.　The　research　on　enhancing　the　resistance　to　H2O　and　anti-SO2　of　SCR　catalyst　at　low　temperature　is　also　the　focus　of　SCR　technology　study.　Besides,　it　is　also　actively　exploring　the　optimization　and　improvement　of　control　strategy　for　SCR　aftertreatment　system.