[R] Low-effort papers

I came across a professor with 100+ published papers, and the pattern is striking. Almost every paper follows the same formula: take a new YOLO version (v8, v9, v10, v11…), train it on a public dataset from Roboflow, report results, and publish. Repeat for every new YOLO release and every new application domain.

https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=%22murat+bakirci%22+%22yolo%22&btnG=

As someone who works in computer vision, I can confidently say this entire research output could be replicated by a grad student in a day or two using the Ultralytics repo. No novel architecture, no novel dataset, no new methodology, no real contribution beyond “we ran the latest YOLO on this dataset.”

The papers are getting accepted in IEEE conferences and even some Q1/Q2 journals, with surprisingly high citation counts.

My questions:

• Is this actually academic misconduct? Is it reportable, or just a peer review failure?
• Is anything being done systemically about this kind of research?