diff --git a/src/sparseconvert.jl b/src/sparseconvert.jl
index 3f05adcd..2678d4bf 100644
--- a/src/sparseconvert.jl
+++ b/src/sparseconvert.jl
@@ -11,6 +11,9 @@ for wr in (Symmetric, Hermitian, Transpose, Adjoint,
     @eval SparseMatrixCSC{Tv}(A::$wr) where Tv = SparseMatrixCSC{Tv}(_sparsem(A))
     @eval SparseMatrixCSC{Tv,Ti}(A::$wr) where {Tv,Ti} = SparseMatrixCSC{Tv,Ti}(_sparsem(A))
 end
+# a vector view converts to an `n x 1` matrix, as a sparse vector does
+SparseMatrixCSC(A::SubArray{<:Any,1}) = SparseMatrixCSC(_sparsem(A))
+SparseMatrixCSC{Tv}(A::SubArray{Tv,1}) where Tv = SparseMatrixCSC(_sparsem(A))
 
 """
     iswrsparse(::S)
@@ -66,6 +69,8 @@ function _sparsem(@nospecialize A::AbstractArray{Tv}) where Tv
             A
         end
     else
+        # a dense vector has no matrix constructor, as `Matrix(v)` has none
+        A isa AbstractMatrix || throw(MethodError(SparseMatrixCSC, (A,)))
         # explicitly call abstract matrix fallback using getindex(A,...)
         invoke(SparseMatrixCSC{Tv,Int}, Tuple{AbstractMatrix}, A)
     end
diff --git a/test/constructors.jl b/test/constructors.jl
index 1cc66d3d..053feb63 100644
--- a/test/constructors.jl
+++ b/test/constructors.jl
@@ -30,6 +30,9 @@ end
 @static if COMPREHENSIVE
     @test SparseMatrixCSC{ComplexF64}(Array(a)')::SparseMatrixCSC{ComplexF64,Int} == a'
     @test Array(SparseMatrixCSC{eltype(a), Int8}(a)) == Array(a)
+    @test mismatch(SparseMatrixCSC(view(a, :, 1)), Array(a)[:, 1:1]) === nothing
+    # a view of a dense vector has no matrix constructor, as for `Matrix`
+    @test_throws MethodError SparseMatrixCSC(view([1.0, 2.0], :))
 end
     @test collect(a) == a
     @test SparseMatrixCSC(a)::typeof(a) == a