Emerging　research　topic　detection　can　benefit　the　research　foundations　and　policy-makers.　With　the　long-term　and　recent　interest　in　detecting　emerging　research　topics,　various　approaches　are　proposed　in　the　literature.　Though,　there　is　still　a　lack　of　well-established　linkages　between　the　clear　conceptual　definition　of　emerging　research　topics　and　the　proposed　indicators　for　operationalization.　This　work　follows　the　definition　by　Wang　(2018),　and　several　machine　learning　models　are　together　used　to　detect　and　foresight　the　emerging　research　topics.　Finally,　experimental　results　on　gene　editing　dataset　discover　three　emerging　research　topics,　which　make　clear　that　it　is　feasible　to　identify　emerging　research　topics　with　our　framework.　(C)　2019　Elsevier　Ltd.　All　rights　reserved.