On the public citation graph
Markov Logic Networks for Optical Chemical Structure Recognition
0 signed · 61 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-40953-x_1openalex-snapshot
Stable and Robust Vectorization: How to Make the Right Choices
inferredcites →https://doi.org/10.1007/3-540-45869-7_24openalex-snapshot
Text/Graphics Separation Revisited
inferredcites →https://doi.org/10.1007/s10032-010-0130-8openalex-snapshot
Document image binarization using background estimation and stroke edges
inferredcites →https://doi.org/10.1016/j.artint.2013.08.002openalex-snapshot
Type Extension Trees for feature construction and learning in relational domains
inferredcites →https://doi.org/10.1016/j.jsc.2013.09.003openalex-snapshot
Practical graph isomorphism, II
inferredcites →https://doi.org/10.1017/cbo9780511811685openalex-snapshot
Multiple View Geometry in Computer Vision
inferredcites →https://doi.org/10.1021/ci00008a018openalex-snapshot
Kekule: OCR-optical chemical (structure) recognition
inferredcites →https://doi.org/10.1021/ci00013a010openalex-snapshot
Chemical literature data extraction: The CLiDE Project
inferredcites →https://doi.org/10.1021/ci00062a008openalex-snapshot
SMILES. 2. Algorithm for generation of unique SMILES notation
inferredcites →https://doi.org/10.1021/ci00067a013openalex-snapshot
Simulation of infrared spectra: an infrared spectral simulation program (SIRS) which uses DARC topological substructures
inferredcites →https://doi.org/10.1021/ci00067a014openalex-snapshot
Computational perception and recognition of digitized molecular structures
inferredcites →https://doi.org/10.1021/ci2004303openalex-snapshot
AsteriX: A Web Server To Automatically Extract Ligand Coordinates from Figures in PDF Articles
inferredcites →https://doi.org/10.1021/ci800067ropenalex-snapshot
Optical Structure Recognition Software To Recover Chemical Information: OSRA, An Open Source Solution
inferredcites →https://doi.org/10.1021/ci800449topenalex-snapshot
CLiDE Pro: The Latest Generation of CLiDE, a Tool for Optical Chemical Structure Recognition
inferredcites →https://doi.org/10.1021/ci970437zopenalex-snapshot
On the Properties of Bit String-Based Measures of Chemical Similarity
inferredcites →https://doi.org/10.1021/ci990052bopenalex-snapshot
Chemical Markup, XML, and the Worldwide Web. 1. Basic Principles
inferredcites →https://doi.org/10.1109/34.9112openalex-snapshot
A robust algorithm for text string separation from mixed text/graphics images
inferredcites →https://doi.org/10.1109/cisp.2009.5305624openalex-snapshot
A Character Extraction and Recognition Method for Line Drawings
inferredcites →https://doi.org/10.1109/icdar.1993.395658openalex-snapshot
Optical recognition of chemical graphics
inferredcites →https://doi.org/10.1109/iembs.2007.4353366openalex-snapshot
Reconstruction of Chemical Molecules from Images
inferredcites →https://doi.org/10.1109/tpami.2006.127openalex-snapshot
Robust and accurate vectorization of line drawings
inferredcites →https://doi.org/10.1145/1102351.1102407openalex-snapshot
Learning the structure of Markov logic networks
inferredcites →https://doi.org/10.1145/1390156.1390209openalex-snapshot
Discriminative structure and parameter learning for Markov logic networks
inferredcites →https://doi.org/10.1145/1815330.1815389openalex-snapshot
Ground-truthed dataset of chemical structure images in Japanese published patent applications
inferredcites →https://doi.org/10.1186/1752-153x-3-4openalex-snapshot
Automated extraction of chemical structure information from digital raster images
inferredcites →https://doi.org/10.1186/1758-2946-3-33openalex-snapshot
Open Babel: An open chemical toolbox
inferredcites →https://doi.org/10.1371/journal.pone.0005440openalex-snapshot
How Large Is the Metabolome? A Critical Analysis of Data Exchange Practices in Chemistry
inferredcites →https://doi.org/10.3138/fm57-6770-u75u-7727openalex-snapshot
ALGORITHMS FOR THE REDUCTION OF THE NUMBER OF POINTS REQUIRED TO REPRESENT A DIGITIZED LINE OR ITS CARICATURE
inferredcites →https://doi.org/10.4155/fmc.10.191openalex-snapshot
Role of Open Chemical Data in Aiding Drug Discovery and Design
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9783527830497.ch2openalex-snapshot
PubChem: A Large‐Scale Public Chemical Database for Drug Discovery
inferred← citeshttps://doi.org/10.1002/open.202500537openalex-snapshot
GraphReco: Probabilistic Structure Recognition for Chemical Molecules
inferred← citeshttps://doi.org/10.1016/b978-0-12-409547-2.12345-5openalex-snapshot
Chemical Data Formats, Fingerprints, and Other Molecular Descriptions for Database Analysis and Searching
inferred← citeshttps://doi.org/10.1021/acs.chemrev.6b00851openalex-snapshot
Information Retrieval and Text Mining Technologies for Chemistry
inferred← citeshttps://doi.org/10.1021/acs.jcim.1c01017openalex-snapshot
ReactionDataExtractor: A Tool for Automated Extraction of Information from Chemical Reaction Schemes
inferred← citeshttps://doi.org/10.1021/acs.jcim.2c01480openalex-snapshot
MolScribe: Robust Molecular Structure Recognition with Image-to-Graph Generation
inferred← citeshttps://doi.org/10.1021/acs.jcim.3c02082openalex-snapshot
Image2InChI: Automated Molecular Optical Image Recognition
inferred← citeshttps://doi.org/10.1021/acs.jcim.8b00669openalex-snapshot
Molecular Structure Extraction from Documents Using Deep Learning
inferred← citeshttps://doi.org/10.1039/d1sc01839fopenalex-snapshot
Img2Mol – accurate SMILES recognition from molecular graphical depictions
inferred← citeshttps://doi.org/10.1039/d1sc02957fopenalex-snapshot
ChemPix: automated recognition of hand-drawn hydrocarbon structures using deep learning
inferred← citeshttps://doi.org/10.1039/d3sc07012copenalex-snapshot
Automation and machine learning augmented by large language models in a catalysis study
inferred← citeshttps://doi.org/10.1039/d4ra02442gopenalex-snapshot
MMSSC-Net: multi-stage sequence cognitive networks for drug molecule recognition
inferred← citeshttps://doi.org/10.1109/access.2021.3086233openalex-snapshot
Entity Resolution in Sparse Encounter Network Using Markov Logic Network
inferred← citeshttps://doi.org/10.1109/cibcb.2018.8404964openalex-snapshot
Chemical structure recognition and prediction: A machine learning technique
inferred← citeshttps://doi.org/10.1109/das.2018.28openalex-snapshot
A Free-Sketch Recognition Method for Chemical Structural Formula
inferred← citeshttps://doi.org/10.1109/icpr.2016.7900008openalex-snapshot
A future for learning semantic models of man-made environments
inferred← citeshttps://doi.org/10.1109/icpr56361.2022.9956654openalex-snapshot
A Large-Scale Database for Chemical Structure Recognition and Preliminary Evaluation
inferred← citeshttps://doi.org/10.1145/3770855.3818942openalex-snapshot
MACReD: A Multi-Agent Collaborative Reasoning Framework for Reaction Diagram Parsing
inferred← citeshttps://doi.org/10.1146/annurev-chembioeng-100724-080433openalex-snapshot
Use of Machine Learning and Large Language Models in Chemical Information Extraction
inferred← citeshttps://doi.org/10.11834/jig.230367openalex-snapshot
Chemical structure recognition method based on attention mechanism and encoder-decoder architecture
inferred← citeshttps://doi.org/10.1186/s13321-020-00460-5openalex-snapshot
Molecular representations in AI-driven drug discovery: a review and practical guide
inferred← citeshttps://doi.org/10.1186/s13321-020-00465-0openalex-snapshot
A review of optical chemical structure recognition tools
inferred← citeshttps://doi.org/10.1186/s13321-022-00624-5openalex-snapshot
SwinOCSR: end-to-end optical chemical structure recognition using a Swin Transformer
inferred← citeshttps://doi.org/10.1186/s13321-022-00642-3openalex-snapshot
Review of techniques and models used in optical chemical structure recognition in images and scanned documents
inferred← citeshttps://doi.org/10.1186/s13321-024-00823-2openalex-snapshot
Automated molecular structure segmentation from documents using ChemSAM
inferred← citeshttps://doi.org/10.1186/s13321-024-00926-wopenalex-snapshot
MolNexTR: a generalized deep learning model for molecular image recognition
inferred← citeshttps://doi.org/10.12677/sea.2015.43010openalex-snapshot
Survey of Markov Logic Networks
inferred← citeshttps://doi.org/10.33774/chemrxiv-2021-jnpglopenalex-snapshot
MolAR: Bringing Chemical Structures to Life with Augmented Reality and Machine Learning
inferred← citeshttps://doi.org/10.6084/m9.figshare.25397428openalex-snapshot
Additional file 1 of Automated molecular structure segmentation from documents using ChemSAM
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.