It always bothers me that a huge number of related papers show out when I search a few keywords in a web search engine such as the Google Scholar and IEEE. Among these engines, I found Semantic Scholar very helpful since it provides a free API for us to request directly by codes and save the outputs locally. At a first glance, it further complicates the reviewing processes. Let’s see how it can facilitate the entire processes.
Prerequisites
Recently, I am preparing an overview subject to the design of control barrier function method towards different kinds of uncertainty.
Note: I recommend collecting papers with selected keywords after rather than during a systematic investigation of research problems, to have a good taste for filtering high related/quality candidates.
Collect raw data from requests
index with range
print("Hello, world!")
for i in range(10):
print(i)
