Most cited papers from InferLink (United States)

InferLink (United States)

What are the most cited papers from InferLink (United States)?

The most cited paper from InferLink (United States) is "Building and Using a Knowledge Graph to Combat Human Trafficking" (Pedro A. Szekely et al., 2015), with 106 citations. Next come "A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study" (55) and "Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine" (17).

Published TypeFieldAccess

Showing 23 of 23 papers. Every paper is listed.

Most cited papers, sortable by citations and release date
#	Paper
1	Building and Using a Knowledge Graph to Combat Human Trafficking Pedro A. Szekely et al. · Lecture notes in computer science Conference paper	2015	106
2	A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study Guilherme Del Fiol, Matthew Michelson, Alfonso Iorio et al. · Journal of Medical Internet Research Open access	12 May 2018	55
3	Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine Matthew Michelson, Tiffany W. Chow, Neil A. Martin et al. · Journal of Medical Internet Research Open access	22 Jul 2020	17
4	A Mobile App for Patients and Those Who Care About Them Greg Barish, Hilary J. Aralis, Eric B. Elbogen et al. Conference paper	20 May 2019	13
5	The Impact of Environmental Stressors on Human Trafficking Sabina Tomkins, Golnoosh Farnadi, Brian Amanatullah et al. Conference paper	Nov 2018	12
6	AI2 LEVERAGING MACHINE-ASSISTANCE TO REPLICATE A SYSTEMATIC REVIEW Matthew Michelson, Mike Ross, Steven Minton · Value in Health Open access	May 2019	9
7	Integrating Mobile Technology and Social Support with Cognitive Behavioral Therapy for Anger in Veterans with PTSD: A Pilot Study Eric B. Elbogen, Hilary J. Aralis, Clair F. Cassiello-Robbins et al. · Military Behavioral Health	Jun 2020	8
8	Beyond sensors Greg Barish, Patricia E. Lester, William R. Saltzman et al. Conference paper	13 Sep 2014	7
9	DIGMAPPER: A Modular System for Automated Geologic Map Digitization Weiwei Duan, Yao-Yi Chiang, Theresa Chen et al. Conference paper	3 Nov 2025	2
10	A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study (Preprint) Guilherme Del Fiol, Matthew Michelson, Alfonso Iorio et al. PreprintOpen access	5 Mar 2018	2
11	Automated Mouse Organ Segmentation Naveen Ashish, Mi‐Youn Brusniak Conference paper	15 Aug 2018	2
12	Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine (Preprint) Matthew Michelson, Tiffany W. Chow, Neil A. Martin et al. PreprintOpen access	8 May 2020	1
13	Ocular toxicity and Hydroxychloroquine: A Rapid Meta-Analysis Matthew Michelson, Tiffany W. Chow, Neil A. Martin et al. · medRxiv PreprintOpen access	3 May 2020	1
14	Automated Mouse Organ Segmentation: A Deep Learning Based Solution Naveen Ashish, Mi‐Youn Brusniak · arXiv (Cornell University) PreprintOpen access	24 Apr 2018	1
15	The Value of AI Tools: Some Lessons Learned Steven Minton · AI Magazine Open access	Sep 2017	1
16	LineLM: An Operational Language Model for Minimizing Expert Curation Effort in Large-Scale Geospatial Vector Lines Weiwei Duan, Yao‐Yi Chiang Conference paperOpen access	7 Aug 2026	0
17	A Framework for Optimizing Human-Machine Interaction in Classification Systems Goran Murić, STEVEN MINTON Conference paper	Jun 2026	0
18	Agents on a LEASH: A Case Study in Micro-Managing Web Agent Behavior Matthew Michelson, Adrien Bibal, STEVEN MINTON · Proceedings of the AAAI Symposium Series Conference paperOpen access	18 May 2026	0
19	Detecting Legend Items on Historical Maps Using GPT-4o with In-Context Learning Sofia Kirsanova, Weiwei Duan, Yao‐Yi Chiang Conference paperOpen access	3 Nov 2025	0
20	Exploiting LLMs and Semantic Technologies to Build a Knowledge Graph of Historical Mining Data Craig A. Knoblock, Bình Dương Vũ, Basel Shbita et al. · Lecture notes in computer science Conference paper	28 Oct 2025	0
21	LDTR: Linear Object Detection Transformer for Accurate Graph Generation by Learning the N-Hop Connectivity Information Weiwei Duan, Yao‐Yi Chiang, Craig A. Knoblock · Lecture notes in computer science Conference paper	15 Sep 2025	0
22	Assessing Software Fault Risk with Machine Learning Naveen Ashish, Greg Barish, Steven Minton · Studies in computational intelligence Conference paper	2022	0
23	Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web Steven Minton, Matthew Michelson, Kane See et al. Conference paper	Dec 2011	0

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.