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Si Chen - Professor of Computer Science | West Chester University — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
kelseyurgo.com ↗	73 match 1 shared topics	Kelsey Urgo – Assistant Professor of Computer Science University of San Francisco	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
elenapan.net ↗	72 match 1 shared topics	Elena Pan \| Computer Science & Engineering	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hsg.ai ↗	71 match 1 shared topics	HSG-AIML \| Research activities at the chair Artificial Intelligence & Machine Learning at the Institute of Computer Science of the University of St. Gallen.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
omersarimese.com ↗	71 match 1 shared topics	Ömer Sarımeşe \| AI & Data Science MSc \| Computer Vision & ML Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
bruno-ribeiro.com ↗	70 match 1 shared topics	Bruno Ribeiro - Purdue University	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
danielaakerman.com ↗	70 match 1 shared topics	Daniela Akerman \| Computer Science & AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
factslab.io ↗	69 match 1 shared topics	FACTS.lab \| Formal And CompuTational Semantics lab at the University of Rochester	United States~ en	artificial-intelligence Spree Commerce	robotsllmsaihumans	emailphone	none
brynmarie.com ↗	69 match 1 shared topics	Bryn Reimer // Computer Scientist	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
faerazo.com ↗	69 match 1 shared topics	Francisco A. Erazo \| Data Science & AI Professional	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
fafardimaging.com ↗	69 match 1 shared topics	Alex Fafard, Ph.D. - Imaging Science & Computer Vision Consultant	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
fafardsystems.com ↗	69 match 1 shared topics	Alex Fafard, Ph.D. - Imaging Science & Computer Vision Consultant	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
brunoabrahao.com ↗	68 match 1 shared topics	Bruno Abrahao \| NYU Professor	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
bryonaragam.com ↗	68 match 1 shared topics	Bryon Aragam // University of Chicago	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
behind-the-enemy-lines.com ↗	68 match 1 shared topics	A Computer Scientist in a Business School	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
gael-varoquaux.info ↗	68 match 1 shared topics	Gaël Varoquaux: computer / data / health science	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cv-tricks.com ↗	67 match 1 shared topics	CV-Tricks.com – Learn Machine Learning, AI & Computer vision	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
datagrom.com ↗	67 match 1 shared topics	Datagrom \| AI & Data Science Consulting	en	artificial-intelligence Squarespace Magento	robotsllmsaihumans	emailphone	none
kavishgunasekara.com ↗	67 match 1 shared topics	Kavish Gunasekara \| Data Science Portfolio	en	artificial-intelligence	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.