diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 9806e7177c9b9..905c2d0df9065 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -373,11 +373,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Timestamp.weekday SA01" \
         -i "pandas.Timestamp.weekofyear SA01" \
         -i "pandas.Timestamp.year GL08" \
-        -i "pandas.api.extensions.ExtensionArray SA01" \
-        -i "pandas.api.extensions.ExtensionArray._accumulate RT03,SA01" \
-        -i "pandas.api.extensions.ExtensionArray._concat_same_type PR07,SA01" \
-        -i "pandas.api.extensions.ExtensionArray._formatter SA01" \
-        -i "pandas.api.extensions.ExtensionArray._from_sequence SA01" \
         -i "pandas.api.extensions.ExtensionArray._from_sequence_of_strings SA01" \
         -i "pandas.api.extensions.ExtensionArray._hash_pandas_object RT03,SA01" \
         -i "pandas.api.extensions.ExtensionArray._pad_or_backfill PR01,RT03,SA01" \
diff --git a/pandas/core/arrays/base.py b/pandas/core/arrays/base.py
index 8a2856d0a7e64..e363c5380a8e7 100644
--- a/pandas/core/arrays/base.py
+++ b/pandas/core/arrays/base.py
@@ -158,6 +158,12 @@ class ExtensionArray:
     _values_for_argsort
     _values_for_factorize
 
+    See Also
+    --------
+    api.extensions.ExtensionDtype : A custom data type, to be paired with an
+        ExtensionArray.
+    api.extensions.ExtensionArray.dtype : An instance of ExtensionDtype.
+
     Notes
     -----
     The interface includes the following abstract methods that must be
@@ -289,6 +295,13 @@ def _from_sequence(
         -------
         ExtensionArray
 
+        See Also
+        --------
+        api.extensions.ExtensionArray._from_sequence_of_strings : Construct a new
+            ExtensionArray from a sequence of strings.
+        api.extensions.ExtensionArray._hash_pandas_object : Hook for
+            hash_pandas_object.
+
         Examples
         --------
         >>> pd.arrays.IntegerArray._from_sequence([4, 5])
@@ -1707,6 +1720,17 @@ def _formatter(self, boxed: bool = False) -> Callable[[Any], str | None]:
             when ``boxed=False`` and :func:`str` is used when
             ``boxed=True``.
 
+        See Also
+        --------
+        api.extensions.ExtensionArray._concat_same_type : Concatenate multiple
+            array of this dtype.
+        api.extensions.ExtensionArray._explode : Transform each element of
+            list-like to a row.
+        api.extensions.ExtensionArray._from_factorized : Reconstruct an
+            ExtensionArray after factorization.
+        api.extensions.ExtensionArray._from_sequence : Construct a new
+            ExtensionArray from a sequence of scalars.
+
         Examples
         --------
         >>> class MyExtensionArray(pd.arrays.NumpyExtensionArray):
@@ -1783,11 +1807,21 @@ def _concat_same_type(cls, to_concat: Sequence[Self]) -> Self:
         Parameters
         ----------
         to_concat : sequence of this type
+            An array of the same dtype to concatenate.
 
         Returns
         -------
         ExtensionArray
 
+        See Also
+        --------
+        api.extensions.ExtensionArray._explode : Transform each element of
+            list-like to a row.
+        api.extensions.ExtensionArray._formatter : Formatting function for
+            scalar values.
+        api.extensions.ExtensionArray._from_factorized : Reconstruct an
+            ExtensionArray after factorization.
+
         Examples
         --------
         >>> arr1 = pd.array([1, 2, 3])
@@ -1838,11 +1872,20 @@ def _accumulate(
         Returns
         -------
         array
+            An array performing the accumulation operation.
 
         Raises
         ------
         NotImplementedError : subclass does not define accumulations
 
+        See Also
+        --------
+        api.extensions.ExtensionArray._concat_same_type : Concatenate multiple
+            array of this dtype.
+        api.extensions.ExtensionArray.view : Return a view on the array.
+        api.extensions.ExtensionArray._explode : Transform each element of
+            list-like to a row.
+
         Examples
         --------
         >>> arr = pd.array([1, 2, 3])